QDaria is an early-stage quantum computing and AI startup based in Norway, founded with the bold vision of building a fault-tolerant topological quantum computing prototype using exotic Fibonacci anyons. In collaboration with Rigetti Computing, QDaria aims to deploy a quantum processing unit (the Novera QPU) as a stepping stone toward this topological quantum computer breakthrough. Our mission is to transform industries – from cybersecurity and finance to healthcare and education – by fusing quantum computing with artificial intelligence in novel ways.

We are developing a suite of seven core technology projects under the QDaria umbrella, alongside a unique quantum hardware-access service. These include quantum-resistant cybersecurity (Zipminator), a quantum fintech platform (Qm9), an AI-driven education and governance system (QDiana, which originated from an “AGI Politician” concept), a quantum-augmented HPC engine for fluid dynamics (QMikeAI), a quantum health-tech platform (QNilaya), a quantum-natural language model (TeHaA), and a quantum robotics platform (Damon). Each product targets a high-impact market niche, while collectively they create a synergistic ecosystem of hardware, software, and AI. In the long term, QDaria will evolve into QDaria Holdings, spinning off each major product as an independent subsidiary positioned for its own growth and potential exits (IPO or acquisition) in the late 2020s-early 2030s, subject to market conditions and company maturity.

Market Opportunity

The timing is favorable. The global quantum computing industry is projected to create nearly **$1.3 trillion in economic value by 2035** (source: McKinsey Global Institute). Today the market remains nascent (estimated at only ~$1.3 billion in 2024), but it is expected to expand to $5–7 billion by 2029 as early commercial applications emerge.

At the same time, artificial intelligence could add up to $13 trillion to the global economy by 2030 (source: McKinsey Global Institute) – creating significant demand for computational power. QDaria sits at the intersection of these trends, combining quantum computing + AI (Q+AI) to tackle problems beyond the reach of classical systems.

Governments worldwide have pledged over 30 billion to quantum R&D** (source: McKinsey Global Institute), and private investors poured a record **1.5+ billion in 2024 into quantum startups (source: The Quantum Insider). This rising tide underscores a significant opportunity for new entrants. QDaria’s agile startup approach and unique blend of offerings enable us to move quickly in this fast-evolving landscape.

Traction & Recognition

We have already gained early recognition and validation. QDaria is internationally recognized among emerging tech startups, earning our CEO an invitation to attend Davos Innovation Week 2025. These honors reflect the excitement around QDaria’s mission and the credibility of our team.

Strategic Partnership: Rigetti Computing

Our collaboration with Rigetti Computing positions QDaria to deploy a quantum processing unit (planned deployment), establishing a foundation for quantum research and commercial applications in the Nordic region. This partnership provides critical hardware access while we advance our proprietary topological quantum computing research.

Funding Requirements: €15M Series A Round

QDaria is currently raising a €15M Series A round to fuel our next phase of growth. The funding will support:

• Hardware Acquisition (€3.75M): Dilution refrigerator and quantum computing equipment including planned Rigetti Novera QPU deployment
• Team Expansion (€5.25M): World-class quantum engineers and AI researchers
• Product Development (€2.25M): MVP launches for Zipminator, Qm9, and QDiana
• Operations & Marketing (€2.25M): Lab setup, legal/IP, brand development
• Quantum Cloud Access (€1.5M): Computing resources and platform development

With this capital, we plan to establish a quantum computing facility in Norway in partnership with Rigetti, accelerate our software and AI platform development, and lay the groundwork for scaling each product line. We present in this plan a detailed roadmap translating the €12M investment into tangible milestones: delivering early products, achieving technical breakthroughs, and preparing each venture for market entry and future financing.

QDaria Holdings Vision

By executing on our strategy, QDaria will create a portfolio of quantum and AI companies, each with the potential for significant standalone value. Our multi-exit roadmap explores potential public offerings or acquisitions in the late 2020s-early 2030s, subject to market conditions, beginning with Zipminator, followed by Qm9 and QDiana, and QMikeAI. This structure creates multiple liquidity events for investors while advancing toward our ultimate vision of a topologically-powered quantum future.

QDaria is not building a feature. We are building an industry.

Mission

To transform industries through topological quantum computing and AI, delivering innovative solutions that solve complex challenges and shape the future of technology. We aim to make quantum computing accessible and impactful across cybersecurity, finance, education, and healthcare, working closely with partners like Rigetti to achieve practical fault-tolerant quantum computing.

Vision

To be a leading innovator in topological quantum computing, driving advances through cutting-edge research, innovative products, and strategic partnerships. We envision a future where quantum computing transforms every aspect of society – from secure communications to personalized medicine – with QDaria contributing to major breakthroughs. By 2030, QDaria Holdings aims to comprise multiple successful companies pioneering quantum+AI solutions in their respective domains, collectively advancing the quantum computing field.

Core Values

• Integrity: Building trust through transparency and ethical practices
• Innovation: Pushing the boundaries of what’s possible in quantum computing
• Collaboration: Partnering with leading institutions and researchers globally
• Excellence: Delivering world-class products and services
• Impact: Creating technologies that benefit society responsibly

These values guide our work and culture, ensuring we build technologies that not only advance the state of the art but also benefit society responsibly.

The markets QDaria operates in – Quantum Computing, Artificial Intelligence, Synthetic Biology, and their convergence – each show enormous growth potential. Below we analyze these domains and the economic opportunities they present:

Quantum Computing: Industry Outlook

Quantum computing is transitioning from pure research to early commercial use, driving significant optimism about its future market. In 2024, the global quantum computing market size (revenue) is estimated at approximately $1.3 billion (source: The Quantum Insider). This figure is projected to grow to about$5–6 billion by 2029 (a >30% CAGR) (source: Boston Consulting Group) as more organizations begin experimenting with quantum algorithms for optimization, simulation, and machine learning tasks. The long-term outlook is even more striking: McKinsey estimates quantum technologies could account for nearly $1.3 trillion in value by 2035, and other analysts project on the order of$1 trillion in cumulative economic impact by 2035. This value reflects quantum computing’s potential to transform industries from finance to pharmaceuticals by solving complex problems far beyond the reach of classical computers.

Market Segmentation

Several factors are fueling this growth in quantum computing:

• Technical Progress: Qubit counts and quality are improving. Industry leaders like IBM have 433-qubit processors available today and roadmap targets for 1000+ qubits in the next couple of years. Error rates are gradually decreasing, enabling longer and more complex circuits to run.

• Heavy Investment: Governments worldwide have collectively pledged over $30 billion in quantum research funding (source: McKinsey Global Institute), recognizing the technology's strategic importance. China, the EU, the U.S., and others are investing in national quantum programs. Private investment is also surging – quantum startups raised ~$1.4B in 2022 and >$1.5B in 2024, a trend bolstered by the hype around AI.

• Ecosystem Development: A growing ecosystem of software tools (e.g. Qiskit, Cirq) and cloud platforms (AWS Braket, Azure Quantum, IBM Quantum) is lowering barriers to entry for developers and companies. “Quantum-as-a-Service” offerings let users access quantum hardware over the cloud without owning a device, expanding the user base and training a generation of quantum programmers.

• Early Use Cases: Initial commercial use cases are emerging in areas like cryptography (post-quantum encryption), chemistry/material science (quantum simulation for drug discovery or material design), and optimization (supply chain, scheduling). These early successes, albeit often on small problem instances, are validating the real-world relevance of quantum algorithms and spurring further adoption efforts.

While forecasts vary, the trajectory points sharply upward. By the early 2030s, quantum computing’s impact could be transformative, potentially approaching trillions of dollars in value creation. This rising tide creates a significant opportunity for innovative companies like QDaria to emerge and capture value, especially by addressing unmet needs in the ecosystem (such as talent shortage, software tools, and integration of quantum with AI). Our strategy is timed to ride this wave: establish a foothold in today’s niche market, scale alongside the industry’s growth, and be a frontrunner when quantum computing hits mainstream adoption.

That said, we recognize the inherent uncertainty in timing. Quantum computing is a disruptive technology with a wide range of outcomes – rapid breakthroughs could accelerate adoption, while technical hurdles (e.g. error correction) could slow progress. We have contingency plans for multiple scenarios (from conservative to optimistic), ensuring QDaria remains adaptable whether the inflection point arrives in 5 years or 15 years.

Artificial Intelligence: Economic Potential

If quantum computing is the rocket, artificial intelligence (AI) is the fuel currently propelling tech innovation. AI is a much larger and more mature market today, and it forms the “demand pull” for advanced computing that quantum can supply. According to McKinsey Global Institute, AI could potentially add up to $13 trillion to global economic output by 2030 – roughly a 1.2$50 billion in 2020 and is growing ~40% CAGR, on track to several hundred billion by the late 2020s. The excitement around Generative AI in 2023–2024 (with products like GPT-4, DALL-E, etc.) has only accelerated investment and adoption across industries.

Key trends in AI relevant to QDaria include:

• Soaring Compute Needs: Cutting-edge AI models require immense computational resources. Training GPT-3 took thousands of petaflop/s-days of compute. This need for compute is outpacing Moore’s Law, creating a search for new hardware paradigms – including quantum – to sustain AI’s progress.

• AI in Every Industry: AI is being applied in healthcare (diagnostics, drug discovery), finance (trading algorithms, risk modeling), education (personalized learning), government (policy modeling, smart cities), and beyond. This aligns with QDaria’s targeted sectors.

• Autonomous Agents: There’s a push toward more agentic AI – systems that can make plans, take actions, and interact in feedback loops. QDaria’s products like QDiana and QMikeAI are examples of this trend, embedding domain expertise (quantum algorithms) into AI agents for decision-making.

For QDaria, AI is both an enabling technology (we use AI in our products and research) and a market in itself (some of our products are AI systems). By 2030, AI will likely be ubiquitous in enterprise software. Our differentiation comes from infusing quantum capabilities into AI systems – either to supercharge AI (achieve faster or better results with quantum hardware) or to manage quantum complexity (AI that helps users leverage quantum computing). This fusion of AI and quantum gives us a cutting-edge positioning that pure-play AI companies lack.

Convergence of Quantum and AI (Q+AI Integration)

The intersection of quantum computing and AI – Quantum AI – is an emerging niche that many believe could be greater than the sum of its parts. By using quantum processors to run or enhance AI algorithms, we might achieve leaps in capabilities (such as exponentially faster training for certain models, or new forms of AI that leverage quantum phenomena). Conversely, using AI to control quantum systems (for error correction, calibration, or algorithm design) can significantly improve quantum hardware performance. QDaria is investing in both sides of this synergy:

• Quantum-Enhanced AI: Our product TeHaA exemplifies this, aiming to be a quantum-enhanced large language model. Running portions of an AI model on a quantum backend (like Rigetti’s QPUs or future topological qubits) could allow exploration of extremely high-dimensional optimization landscapes more efficiently.

• AI for Quantum: QDaria’s QDiana and QMikeAI agents represent using AI to make quantum tech more usable. By embedding expertise into AI assistants, we lower the barrier for businesses and developers to adopt quantum solutions.

The broader vision is that Quantum + AI + X (with X being domains like finance or biology) will yield the next wave of computing breakthroughs. We already see “Quantum Machine Learning” emerging in research, and companies like Google and IBM exploring how quantum can improve AI workflows. QDaria is one of the first startups explicitly focusing on this fusion. When early commercial Quantum-AI applications appear within 5–7 years, QDaria will be ready with proven solutions.

The current quantum computing landscape spans tech giants, specialized startups, and academic labs, but QDaria occupies a unique niche at the intersection of hardware access, software, and AI. Below, we outline major competitor groups and how we differentiate:

Tech Giants (IBM, Google, Microsoft, Amazon, Intel)

These large companies have major quantum R&D programs. IBM offers cloud access to superconducting quantum processors (with a 433-qubit system online and 1121-qubit planned). Google achieved quantum supremacy in 2019. Microsoft pursues topological qubits and integrates quantum into Azure. Amazon aggregates quantum offerings via AWS Braket.

Strengths: Virtually unlimited budgets, top talent, existing cloud and enterprise customer base. Weaknesses: Bureaucratic, primarily focused on hardware and cloud services, not specialized vertical solutions or AI integration.

QDaria’s stance: We view tech giants more as potential partners/enablers than direct competitors. We can run our software on their platforms while filling gaps too narrow for giants to address. None currently offers the agentic AI integration (QDiana, QMikeAI) or hands-on hardware kits that QDaria does.

Quantum Hardware Startups (IonQ, Rigetti, D-Wave, PsiQuantum)

Pure-play quantum companies focused on building scalable quantum processors. Many are now public (IonQ, Rigetti, D-Wave) with substantial funding:

• IonQ: Trapped-ion qubits, ~$684M total funding
• Rigetti: Superconducting qubits (our partner), ~$200M pre-IPO
• D-Wave: Quantum annealing, $300M+ funding
• PsiQuantum: Photonic qubits, ~$1.29B funding

Strengths: Deep technical focus, first-mover advantage in specific hardware modalities. Weaknesses: High burn rates, narrow scope (hardware only), dependence on solving extremely hard physics/engineering problems.

QDaria’s differentiation: We are hardware-agnostic and capital efficient. Rather than build our own quantum chip from scratch, we partner with or rent existing hardware. We layer value through software and AI on top of any hardware. While IonQ/Rigetti focus on making qubits, QDaria focuses on making qubits useful via algorithms, integration, and user-friendly AI.

Quantum Software & Algorithm Startups (Quantinuum, Zapata, QC Ware)

Companies focusing on the software layer of quantum computing:

• Quantinuum: Merged Honeywell quantum + Cambridge Quantum, leaders in quantum software
• Zapata Computing: Orquestra platform for quantum ML and optimization
• QC Ware: Quantum consulting and cloud platform (Forge)

Strengths: Algorithms expertise, hardware-agnostic integration, partnerships with enterprises. Weaknesses: Many are service-oriented (consulting-heavy), face long sales cycles, solutions can be replicated.

QDaria’s differentiation: We also develop quantum software and algorithms, but QDaria’s agentic AI focus sets us apart. We aren’t just delivering quantum algorithms; we are packaging them in intelligent, interactive AI agents (QDiana, QMikeAI) that make the technology accessible to end-users. Additionally, QDaria offers physical hardware access through our kit rental program – a client can actually touch and experiment on a real quantum device in-house.

SWOT Analysis

Overall, QDaria faces competition from very powerful incumbents and well-funded startups, but our strategy occupies a unique niche. By combining:

1. Hardware access (through in-house quantum kit rentals and Rigetti partnership)
2. Quantum software solutions (Zipminator, Qm9, etc.)
3. Agentic AI interfaces (QDiana, QMikeAI)

We offer a holistic value proposition that others do not. This integrated approach – quantum hardware + software + AI + domain expertise – can make quantum technology more usable and impactful for end users, effectively creating a one-stop shop.

Competitive Advantages

• First-mover in Q+AI Fusion: Few companies globally are as explicitly focused on quantum+AI synergy as QDaria
• Hardware-Agnostic with Local Presence: We leverage the best available hardware without heavy CAPEX, yet differentiate by hosting hardware locally (Novera QPU in Oslo)
• Interdisciplinary R&D: Our team composition (quantum physicists, AI experts, biologists) enables cross-disciplinary innovations competitors might miss
• User-Centric Design: Through QDiana’s educational platform, VR labs, and AI assistants, we prioritize user experience – making complex tech intuitive

QDaria’s business model spans software, AI, and hardware access. Our strategy is to develop multiple, complementary products that address different facets of the quantum and AI revolution. Each major product is intended to become a standalone venture (subsidiary) under QDaria Holdings in the future. Here we present our seven core technologies plus our hardware rental service:

1. Experimental Quantum Mechanics Kits Rental & QCaaS

We offer comprehensive quantum experimental equipment rental and Quantum Computing as a Service (QCaaS) to researchers, educators, and enterprise R&D teams – a unique offering designed to democratize access to quantum hardware and experimental facilities.

Experimental QM Equipment Rentals (2026 Availability)

Quantum Optics Kits:

• Quantum Optics Kit - Monthly: €2,500 | Annual: €25,000
• Breadboard and Damping Feet - Monthly: €85 | Annual: €850
• Quantum Cryptography Kit - Monthly: €295 | Annual: €2,950
• Quantum Eraser Demonstration - Monthly: €165 | Annual: €1,650
• Bomb Tester Demonstration - Monthly: €95 | Annual: €950
• Time-Resolved Absorption Spectroscopy Kit - Monthly: €675 | Annual: €6,750

Measurement & Analysis Tools:

• Educational Atomic Force Microscope - Monthly: €1,150 | Annual: €11,500
• Optical Microscopy Course Kit - Monthly: €875 | Annual: €8,750
• Spectrometer Kits - Monthly: €165 | Annual: €1,650
• Michelson Interferometer Kit - Monthly: €245 | Annual: €2,450
• Fourier Optics Kit - Monthly: €445 | Annual: €4,450

Advanced Tools:

• Portable Optical Tweezers Kit - Monthly: €895 | Annual: €8,950
• Polarization and 3D Cinema Technology Kit - Monthly: €325 | Annual: €3,250

Package Deals:

• Complete Quantum Optics Suite: €4,500/month | €40,000/year (20% discount)
• Full Laboratory Package (All Kits): €7,500/month | €65,000/year (30% discount)
• Educational Institution Bundle: Custom pricing with volume discounts

Market: Universities, corporate training programs, research labs, quantum education initiatives Revenue: Equipment rental fees, installation/support fees, training workshops, potential sponsorships

2. Zipminator - Quantum-Resistant Cybersecurity (QCaaS/QCaaP)

Zipminator is QDaria’s proprietary cybersecurity solution aimed at protecting data in the post-quantum era. The platform integrates the latest NIST post-quantum cryptography (PQC) standards – such as CRYSTALS-Kyber and Dilithium – to ensure data encrypted today remains secure against future quantum attacks.

Key Features:

• Post-quantum encryption algorithms (NIST-certified)
• Quantum-enhanced data compression
• Drop-in replacements for classical encryption
• Future: Topological qubit-based unbreakable encryption

Pricing Tiers (QCaaS/QCaaP):

Starter Plan - €495/month

• Up to 10 users
• 100GB encrypted storage
• Basic PQC encryption (Kyber-512)
• Email support
• Standard SLA (99.5% uptime)

Professional Plan - €2,495/month

• Up to 100 users
• 1TB encrypted storage
• Advanced PQC suite (Kyber-1024, Dilithium)
• Priority support + dedicated account manager
• Enhanced SLA (99.9% uptime)
• API access for integration

Enterprise Plan - €9,995/month

• Unlimited users
• 10TB+ encrypted storage
• Full PQC suite + quantum key distribution (QKD)
• 24/7 premium support + security audit
• Custom SLA (99.99% uptime)
• White-label options
• On-premises deployment available

Government/Defense Plan - Custom pricing

• Air-gapped deployment
• FIPS 140-3 compliance
• Classified data handling
• Dedicated infrastructure
• Custom security requirements

Target Market: Governments, defense, banks, cloud providers, healthcare, legal firms Revenue Model: Recurring SaaS subscriptions, professional services, custom deployments Timeline: v1.0 by Q1 2025; potential exit candidate for late 2020s, subject to market conditions

3. Qm9 - Quantum FinTech Platform (QCaaS/QCaaP)

Qm9 is QDaria’s quantum finance platform, an integrated toolkit for high-speed trading, risk analysis, and financial optimization using quantum algorithms. The platform combines advanced algorithms from quantum computing and AI to tackle portfolio optimization, options pricing, fraud detection, and high-frequency trading strategies.

Key Capabilities:

• Quantum portfolio optimization (QAOA, quantum annealing)
• Real-time market data processing with AI pattern recognition
• Quantum-enhanced Monte Carlo simulations
• Hybrid classical-quantum workflows

Pricing Tiers (QCaaS/QCaaP):

Analyst Plan - €1,995/month

• 5 concurrent users
• 100 quantum computations/month
• Portfolio optimization (up to 50 assets)
• Basic market data feeds
• Standard support
• Cloud-based access only

Trader Plan - €7,995/month

• 25 concurrent users
• 1,000 quantum computations/month
• Advanced portfolio optimization (up to 500 assets)
• Real-time market data + AI signals
• Quantum Monte Carlo simulations
• Priority support + weekly strategy review
• API access + backtesting environment

Institutional Plan - €39,995/month

• Unlimited users
• 10,000+ quantum computations/month
• Enterprise portfolio optimization (unlimited assets)
• Premium market data + proprietary AI models
• High-frequency trading algorithms
• 24/7 premium support + dedicated quant team
• On-premises + hybrid deployment
• Custom algorithm development

Hedge Fund Plan - Custom pricing (starting €100,000/month)

• Dedicated quantum hardware allocation
• Custom quantum algorithms
• Proprietary trading strategies
• White-label platform
• Co-development partnerships
• Revenue sharing models available

Target Market: Hedge funds, investment banks, fintech companies, asset managers, proprietary trading firms Revenue Model: Tiered SaaS subscriptions, API usage fees, professional services, revenue sharing Timeline: v1.0 mid-2025; potential exit candidate for late 2020s, subject to market conditions

4. QDiana - AI Education System & AGI Politician (QCaaS/QCaaP)

QDiana is an ambitious project that merges an AI-powered education platform with an AGI Politician for modeling governance. It’s designed as an advanced polymath AI tutor and advisor.

Education Features:

• Interactive conversational AI tutor
• VR/AR simulations of quantum physics experiments
• Custom lesson plans and adaptive learning
• Immersive virtual labs

Governance Features:

• AI-driven policy simulation and analysis
• Legislative draft generation
• Public policy outcome modeling

Pricing Tiers (QCaaS/QCaaP):

Student Plan - €19/month (or €15/month annual)

• 1 individual student account
• Unlimited AI tutoring sessions
• Access to 500+ quantum physics lessons
• Basic VR lab simulations (desktop)
• Learning progress tracking
• Community forum access

Classroom Plan - €495/month

• Up to 30 student accounts
• Teacher dashboard + analytics
• Full curriculum library (1000+ lessons)
• Advanced VR/AR lab simulations
• Custom lesson plan builder
• Assignment grading assistance
• Priority email support

Institution Plan - €2,995/month

• Up to 500 student accounts
• Multi-teacher management
• White-label options
• Custom curriculum development
• Full VR/AR hardware integration
• LMS integration (Canvas, Blackboard, Moodle)
• Dedicated support + training workshops
• Usage analytics and reporting

Government/Enterprise Plan - €14,995/month

• Unlimited users
• AGI Politician policy simulation suite
• Legislative modeling and analysis
• Custom AI model training on policy data
• Multi-language support (50+ languages)
• Secure cloud or on-premises deployment
• 24/7 premium support
• Custom development and integration

Research Plan - Custom pricing

• Academic research partnerships
• Co-development opportunities
• Early access to experimental features
• Publication and citation support
• Grant proposal assistance

Target Market: Educational institutions, governments, think tanks, corporate training, individual learners Revenue Model: Tiered subscriptions, volume licensing, professional services, custom development Timeline: Educational platform pilot Q3 2025; potential exit candidate for late 2020s, subject to market conditions

5. QMikeAI - Quantum HPC & Engineering AI Assistant (Research Services)

QMikeAI is an agentic AI system tailored for scientists, engineers, and developers working on computationally intensive problems (fluid dynamics, weather modeling, materials science) where quantum computing might help.

Key Functions:

• Autonomous simulation setup and optimization
• Quantum algorithm selection and tuning
• Hybrid workflow orchestration (CPU/GPU/QPU)
• Real-time code debugging and optimization
• Quantum-enhanced CFD solver integration

Pricing Tiers (Research Services & QCaaS):

Researcher Plan - €795/month

• 1 user license
• 50 hours quantum compute time/month
• Access to standard quantum algorithms library
• Basic HPC cluster access (100 CPU cores)
• Email support + documentation
• Cloud-based deployment only

Lab Plan - €3,995/month

• 10 user licenses
• 250 hours quantum compute time/month
• Full quantum + classical algorithm suite
• Enhanced HPC cluster access (500 CPU cores + 10 GPUs)
• Priority support + monthly consultation
• Simulation template library
• API access for custom integrations

Enterprise Research Plan - €19,995/month

• 50 user licenses
• 1,500 hours quantum compute time/month
• Custom quantum algorithm development
• Premium HPC cluster access (5,000 CPU cores + 100 GPUs)
• Dedicated quantum research scientist
• 24/7 premium support
• On-premises + hybrid deployment
• Code optimization services
• Research publication support

Industry Partnership Plan - Custom pricing (starting €50,000/month)

• Unlimited users and compute time
• Co-development of domain-specific quantum algorithms
• Dedicated HPC + quantum infrastructure
• White-label deployment options
• Joint intellectual property agreements
• Conference presentation support
• Revenue sharing on commercialized research

Consulting Services:

• Quantum Algorithm Development: €15,000 - €100,000 per project
• HPC Optimization Audit: €10,000 - €50,000
• Simulation Setup & Training: €5,000 - €25,000
• Custom Integration Development: €20,000 - €150,000

Target Market: Aerospace, automotive, energy, materials science, weather modeling, research labs, HPC centers, universities Revenue Model: Tiered SaaS subscriptions, compute usage fees, consulting services, partnership agreements Timeline: Alpha integration into Qm9 late 2026; potential exit candidate for early 2030s, subject to market conditions

6. QNilaya - Quantum Health-Tech Platform

QNilaya is our platform for quantum-powered healthcare and biotech solutions, leveraging quantum algorithms to accelerate drug discovery, medical research, and personalized medicine.

Core Capabilities:

• Quantum chemistry simulations (protein folding, drug binding)
• Molecular optimization engines
• AI-driven biomedical data analytics
• Quantum machine learning on genetic data

Target Market: Pharmaceutical companies, biotech startups, research hospitals Revenue Model: Joint research agreements, software licensing, IP royalties Timeline: Prototype demonstration August 2025

7. TeHaA - Quantum-Native NLP AI

TeHaA (Tegmark-Hinton Artificial Awareness) is a quantum-enhanced natural language processing platform – essentially a large language model augmented by quantum computing techniques.

Quantum Enhancements:

• Quantum neural network architectures
• Quantum semantic analysis for translations
• Quantum amplitude amplification for response generation
• Faster training/inference via quantum subroutines

Target Market: Enterprise NLP applications, specialized domains Revenue Model: Technology licensing, API services Timeline: v1.0 late 2025 (6-10B parameters)

8. Damon - Quantum Robotics Platform

Damon is QDaria’s initiative to bring quantum computing into robotics and automation, providing a platform for optimizing and controlling complex robotic systems using quantum algorithms.

Applications:

• Warehouse robot scheduling optimization
• Multi-robot path planning
• Quantum control algorithms for precision
• Sensor data fusion with quantum ML

Target Market: Advanced manufacturing, logistics, defense Revenue Model: Project-based initially, then software licensing Timeline: v1.0 proof-of-concept early 2026

Ecosystem Integration

Collectively, these products form a cohesive ecosystem. Qm9 provides the quantum computing backbone and cloud infrastructure; Zipminator ensures security; QDiana and QMikeAI serve as intelligent front-ends; QNilaya, TeHaA, and Damon are specialized applications demonstrating breadth; and our kit rentals foster a user base engaged with quantum hardware hands-on.

A client can enter our ecosystem at any level – a student via QDiana’s learning platform, a researcher via kit rental or QMikeAI, an enterprise via Zipminator or Qm9 – creating multiple entry points and revenue streams while all reinforcing each other under one vision.

Product Portfolio Overview

To achieve our ambitious vision, QDaria will follow a phased expansion roadmap from a single startup into a multi-subsidiary holding company (QDaria Holdings) by 2030. Each major product will eventually operate as an independent entity under the group, enabling focused growth and separate capital raises. Below we outline our plan year-by-year:

2025: Foundation and Series A Stage

Key Activities:

• QDaria officially (re)founded in Q1 2025
• Secure €15M Series A funding
• Establish partnerships: Rigetti Computing (QPU access), Bluefors (dilution refrigerator)
• Launch pilot quantum kit rental program (Q4 2025)
• Release Zipminator v1.0 for early adopters

Milestones:

• Working demo of QDiana assisting in quantum experiments
• Basic Qm9 trade optimization demonstrations
• Planned Rigetti QPU installation in Oslo (subject to partnership finalization)

Team Growth: Expand to 10-15 full-time staff (quantum scientists, AI engineers, cryogenic engineer, developers)

2026: Product Development and Market Validation

Key Activities:

• Raise Series B (~€8M-€12M) mid-2026
• Beta release of Zipminator for enterprise trials
• Integrate QMikeAI alpha into Qm9 platform
• Expand quantum kit rental inventory

Milestones:

• Demonstrate potential quantum improvements in narrow tasks (compression or optimization experiments)
• Secure 2-3 strategic partnerships (financial institution, tech education provider)
• Pilot customers for Zipminator and Qm9

Revenue: Modest from kit rentals and consulting (~$500K-$1M)

2027: Scaling Up and Organizational Structuring

Key Activities:

• Raise Series C (~€20M)
• Production-ready QDiana launched (late 2027)
• Reorganize into QDaria Holdings structure

Subsidiary Formation:

• Zipminator, Inc.
• Qm9, Inc.
• QDiana, Inc.
• QMikeAI, Inc.
• QDaria Hardware Services

Milestones:

• Each subsidiary has working product and initial customer traction
• Achieve 7-figure annual revenue (~$1M+)
• Publish breakthrough research, speak at major conferences

2028: Potential First Exit and Continued Growth

Potential Event: Zipminator, Inc. IPO or Strategic Acquisition (H2 2028, subject to market conditions)

Rationale: By 2028, quantum-safe encryption may become increasingly critical. Zipminator aims to have a clear business model and growing user adoption.

Other Activities:

• Qm9 signs up more clients (robust cloud service)
• QDiana commercial launch (enterprise/government contracts)
• QMikeAI builds developer community

Financial Impact:

• Potential Zipminator exit could raise substantial capital for security suite expansion
• QDaria Holdings retains significant equity stake
• Credibility boost for entire portfolio

2029: Potential Multiple Exits and Expansion

Potential Events:

• Qm9, Inc. Exit (mid-2029, subject to conditions): Quantum cloud/platform with recurring revenue
• QDiana, Inc. Exit (late 2029, subject to conditions): EdTech + GovTech with strong user growth

Status: QDaria Holdings may oversee multiple independent subsidiaries with potential public listings

Strategic Activities:

• Geographic expansion (US, EU, Asia-Pacific)
• Potential acquisitions to enhance technology
• Demonstrate topological qubit prototypes

2030: Continued Growth and Maturity

Potential Event: QMikeAI, Inc. Exit (subject to market conditions)

Potential Achievement: QDaria Holdings may comprise multiple independent companies plus emerging divisions (QNilaya, TeHaA, Damon)

Topological Quantum Milestone: Aim to demonstrate progress toward topological qubit system (research on Fibonacci anyons). Important Caveat: Fibonacci anyon-based topological qubits remain highly experimental and have not yet been conclusively demonstrated in any laboratory worldwide. This represents an ambitious long-term research goal subject to significant technical and scientific challenges, with no guarantee of success. The timeline for achieving this milestone is uncertain and may extend beyond 2030.

Holding Company Evolution:

• Potential listing of QDaria Holdings itself
• Focus on advancing GrailQ (topological quantum computer) vision
• Explore quantum communications and quantum sensing opportunities

Timeline of Key Milestones (2025–2030)

This roadmap is aggressive but achievable with disciplined execution and adaptation to real-world feedback. Each phase builds on the previous, creating a flywheel of credibility, capital, and capability that propels QDaria toward our ultimate vision.

Our financial plan reflects this multi-faceted growth strategy. We forecast financials for QDaria Holdings on a consolidated basis through 2030, understanding that different lines of business scale at different paces. Early on, revenue will be modest as we prove technology and build products; by the late 2020s, we expect an inflection as products commercialize and subsidiaries IPO.

Key Financial Assumptions

Revenue Drivers:

From 2025–2026, revenue is primarily from quantum kit rentals and consulting/pilot projects. Starting 2027, as products hit the market, software and platform sales ramp up. By 2028–2030, main revenue streams are SaaS subscriptions (QDiana, QMikeAI), usage fees (Qm9 cloud), and software licensing (Zipminator).

Projected Revenue Growth:

• 2025: $0.5M (kit rentals, consulting)
• 2026: $1.0M (expanded pilots)
• 2027: $5.0M (product launches)
• 2028: $20.0M (Zipminator IPO year)
• 2029: $50.0M (Qm9 + QDiana IPOs)
• 2030: $100.0M (mature product portfolio)

This represents a highly aggressive 158% CAGR from 2025 to 2030 – reflecting rapid enterprise adoption across quantum computing and AI markets. This growth rate assumes successful execution of all seven product launches and strong market penetration in cybersecurity, fintech, and education sectors.

Note on Projections: Financial forecasts are based on QDaria internal financial model v4.1 (2025) and benchmarked against SaaS Capital industry data (2024). The 158% CAGR represents a highly aggressive growth scenario requiring excellent execution across all product lines. Conservative scenario: 70% CAGR ($70M by 2030); Optimistic scenario: 180$150M by 2030).

Cost Structure:

• R&D: 55-60% of expenses through 2026, then declining as % of revenue
• Sales & Marketing: 10% initially, ramping to ~25% by 2028
• G&A: ~15% initially, trending down with scale
• Quantum Hardware/Cloud: Significant but manageable (~few hundred thousand/year for dilution refrigerator maintenance)

Gross Margin:

• Early years: ~50% (hardware-heavy with kit rentals)
• By 2030: ~70% (software becomes ~80% of revenue)
• Software products achieve 80-90% margins

Profitability Timeline:

We project to reach break-even around Q4 2028 and aim to achieve positive net income by 2029, subject to market conditions and execution. Operating losses will peak in 2026-2027 as we scale R&D ahead of revenue. By 2030, with substantial revenue and scale benefits, net margins could reach 20-25%.

Funding Plan

Series A (€15M) - Current (Q1 2025) Series B (€8M-€12M) - Mid-2026 Series C (€20M) - 2027 Potential Exit Events - Late 2020s-Early 2030s (subsidiaries, subject to conditions)

Post-Series B, IPOs serve as funding events for subsidiaries. Grant funding (EU Horizon, government programs) will supplement and extend runway.

€15M Series A Funding Allocation

This €15M is designed to get us through the critical “prove and launch” phase for 2–3 core products and set the stage for Series B at higher valuation once we have tangible results.

Projected Financial Performance (2025–2030)

Key Performance Indicators (2030):

• 200x Revenue Growth (2025-2030)
• 70% Gross Margin
• 25% Net Margin
• $100M Revenue milestone
• Break-even achieved in 2028

Revenue Breakdown by Product (2030)

Advanced Financial Analytics

This financial model demonstrates a clear path to profitability with multiple revenue streams diversifying risk while creating substantial value for investors through both growth and eventual public market liquidity.

Like any deep-tech venture, QDaria faces significant risks. We identify the major categories and our mitigation strategies:

1. Technology Development Risks

Risk: The pace of quantum computing progress could be slower than anticipated, or specific approaches might fail. Topological qubits might take longer to materialize, or quantum advantage might be elusive for practical tasks.

Mitigation:

• Hardware-agnostic stance – we use what’s available (superconducting, trapped ions) and design flexible software
• If one technology fails, we pivot to another (our value is in software/AI which ports to any backend)
• Strong ties with research community to stay ahead of breakthroughs
• Classical fallback options: products provide value even if quantum underperforms

2. Market Adoption Risks

Risk: Enterprises might be slow to adopt quantum solutions due to skepticism, lack of understanding, or integration challenges. “Wait and see” approach could slow revenue growth.

Mitigation:

• Build products that are useful today (before quantum is “necessary”)
• QDiana as AI tutor is valuable without quantum; Qm9 integrates classical HPC for incremental benefit
• Phased approach (education first, then advanced solutions) creates pipeline of quantum-ready users
• Kit rentals and educational tools cultivate the market
• Strong customer support and consulting ensure successful adoption

3. Competition and Talent Risks

Risk: Tech giants or well-funded startups could develop similar solutions. Attracting and retaining top quantum/AI talent is challenging.

Mitigation:

• Differentiate with unique integrated vision
• Move faster and more flexibly as startup
• Compelling mission (few places offer both quantum and AI for societal good)
• Meaningful equity in multiple upside scenarios (several IPO opportunities)
• Nordic talent pool often overlooked by Silicon Valley but extremely strong
• University partnerships and internship pipelines

4. Funding and Dilution Risks

Risk: Capital-intensive quantum tech development during tight funding environments could force unfavorable terms or plan cutbacks.

Mitigation:

• Lean approach leveraging partnerships
• Qm9 investment hub for revenue generation (self-funding through quantum trading)
• Grant funding and government support (non-dilutive)
• Multi-spinout flexibility (subsidiaries can raise independently)
• Clear IPO timeline gives early investors liquidity visibility

5. Regulatory and Ethical Risks

Risk: Evolving regulations around AI (transparency, bias, data privacy) and quantum (encryption standards, export controls) could impact development or deployment.

Mitigation:

• Proactive policymaker engagement (presence at Davos, global forums)
• AI designed with ethical guidelines (bias checks, content moderation)
• PQC adheres to NIST standards
• Proper licenses for export controls
• Collaborative approach with government agencies

Risk Summary Matrix

Risk Management Philosophy

While challenges are non-trivial, QDaria’s strategy is built to mitigate risk through:

• Diversification: Multiple products/markets
• Adaptability: Hardware-agnostic, incremental adoption path
• Strategic foresight: Partnering and structuring for resilience
• Transparency: Keeping investors informed for collaborative course-correction

Our leadership’s experience across academia, government, and industry provides well-rounded perspective to foresee pitfalls. Managing these risks effectively will be key to delivering the substantial rewards we aim for.

QDaria stands at the intersection of two of the most transformative technologies of our time: quantum computing and artificial intelligence. Our unique approach combines cutting-edge research, practical product development, and a clear path to commercialization through multiple market-ready solutions.

Investment Highlights

1. Exceptional Market Timing

• Quantum computing market growing from $1.3B (2024) to$1.3T (2035)
• AI creating $13T in economic value by 2030
• QDaria positioned at the convergence of both mega-trends

2. Differentiated Technology

• Only startup globally pursuing topological quantum + AI integration
• Hardware-agnostic platform works across all quantum backends
• Agentic AI (QDiana, QMikeAI) makes quantum accessible

3. Early Recognition

• Internationally recognized among emerging tech startups
• Invitation to Davos Innovation Week 2025
• Strategic partnerships with Rigetti, Bluefors
• Planned quantum computing deployment in Norway

4. Multiple Revenue Streams

• 7 venture-ready products + hardware rental service
• Diversified across cybersecurity, finance, healthcare, education, robotics
• Early revenue from kits and consulting; scaling to SaaS by 2027

5. Potential Exit Opportunities

• Multi-exit roadmap: potential IPOs or acquisitions in late 2020s-early 2030s, subject to market conditions
• Each subsidiary may become independently valuable
• Potential for multiple liquidity events for investors

6. World-Class Team

• CEO Daniel Mo Houshmand: Polymath with math/physics background, entrepreneurial track record
• CSO Prof. Astrid Sølberg: Leading quantum physicist, topological qubit expert
• CTO Dr. Erik Johannessen: Ex-IBM, distributed systems architect
• Chief AI Scientist Dr. Nina Patel: Ex-DeepMind, multi-agent systems specialist

Financial Returns Potential

Base Case Scenario:

• €15M Series A at €50M pre-money valuation
• 2030 revenue: $100M with 25% net margin (projected)
• Conservative 10x revenue multiple = $1B valuation (projected)
• Series A investor potential return: ~20x in 5-6 years (subject to execution and market conditions)

Optimistic Scenario:

• Potential exits create multiple independent companies by 2030
• Combined market cap potential: $3-5B (quantum + AI premium multiples, if market conditions support)
• Series A investor potential return: 60-100x (highly conditional on multiple successful exits)

Use of Funds

The €15M Series A round provides 18-24 months runway to achieve critical milestones:

Year 1 (2025):

• Planned quantum computer installation (Rigetti QPU, subject to partnership finalization)
• Launch Zipminator v1.0 and kit rental program
• Demonstrate QDiana AI tutor capabilities
• Demonstrate potential quantum improvements in narrow applications

Year 2 (2026):

• Zipminator beta with enterprise pilots
• Qm9 platform operational with first clients
• QMikeAI alpha integration
• Expand team to 15 key hires
• Position for Series B at projected 2-4x valuation increase

Why Invest Now

1. Early-Stage Opportunity: Series A investors enter at foundation stage before potential value inflection

2. De-risked Technology: Partnering with established quantum hardware providers (Rigetti, IBM, IonQ via cloud)

3. Multiple Opportunities: 7 products with potential for multiple exit opportunities = portfolio diversification

4. Government/Grant Support: Norway and EU actively funding quantum initiatives (non-dilutive capital)

5. First-Mover Advantage: Currently no direct competitor combining topological quantum + agentic AI + hardware access

6. Societal Impact: Investment supports technologies addressing global challenges (cybersecurity, climate, healthcare, education)

The QDaria Difference

Most quantum startups are either:

• Hardware-focused (extremely capital intensive, binary technology risk)
• Pure software (commoditizable algorithms without defensibility)
• Consulting-heavy (services don’t scale to venture returns)

QDaria uniquely combines:

• Hardware access (via partnerships, not ownership = capital efficient)
• Proprietary software (7 applications with network effects)
• AI integration (creates moats through user experience and learning)
• Holding company structure (de-risks via diversification, multiple exits)

Call to Action

We invite you to join us in building the quantum future. This represents an opportunity to invest in a company pursuing fundamental technological advances in quantum computing and AI integration.

QDaria aims to contribute meaningfully to the emerging quantum computing industry through innovative products and research.

The €15M Series A round is currently open in Q1 2025. For additional information, financial models, technical deep-dives, or to schedule a meeting with our founders, please contact:

Daniel Mo Houshmand CEO & Co-Founder, QDaria Email: mo@qdaria.com LinkedIn: linkedin.com/in/danielmohoushmand

This business plan contains forward-looking statements based on current expectations and assumptions. Actual results may differ materially from those projected. Investment in early-stage quantum computing companies involves substantial risk including total loss of investment. Past performance of team members or comparable companies is not indicative of future results.

Market Data and Industry Analysis

Boston Consulting Group (2023) Quantum Advantage in the Next Decade. Boston Consulting Group. Available at: https://www.bcg.com/publications/2023/quantum-advantage-in-the-next-decade (Accessed: 10 January 2025).

McKinsey & Company (2018) Notes from the AI frontier: Modeling the impact of AI on the world economy. McKinsey Global Institute. Available at: https://www.mckinsey.com/featured-insights/artificial-intelligence/notes-from-the-ai-frontier-modeling-the-impact-of-ai-on-the-world-economy (Accessed: 10 January 2025).

McKinsey & Company (2023) Quantum technology sees record investments, progress on talent gap. McKinsey Digital. Available at: https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/quantum-technology-sees-record-investments-progress-on-talent-gap (Accessed: 10 January 2025).

McKinsey & Company (2024) Steady progress in approaching the quantum advantage. McKinsey Digital. Available at: https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/steady-progress-in-approaching-the-quantum-advantage (Accessed: 10 January 2025).

McKinsey & Company (2025) The Year of Quantum: From concept to reality in 2025. McKinsey Digital. Available at: https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-year-of-quantum-from-concept-to-reality-in-2025 (Accessed: 10 January 2025).

MarketsandMarkets™ (2024) Quantum Computing Market worth $5.3 billion by 2029. Available at: https://www.prnewswire.com/news-releases/quantum-computing-market-worth-5-3-billion-by-2029---exclusive-report-by-marketsandmarkets-302109164.html (Accessed: 10 January 2025).

The Quantum Insider (2024a) The Quantum Insider Projects $1 Trillion in Economic Impact From Quantum Computing by 2035. Resonance. Available at: https://thequantuminsider.com/2024/09/13/the-quantum-insider-projects-1-trillion-in-economic-impact-from-quantum-computing-by-2035/ (Accessed: 10 January 2025).

The Quantum Insider (2024b) Report Reveals Growing Interest, Investments in Quantum Security Market. Available at: https://thequantuminsider.com/2024/11/27/report-reveals-growing-interest-investments-in-quantum-security-market/ (Accessed: 10 January 2025).

Key Metrics Referenced

$1.3 Trillion Quantum Market by 2035:

• McKinsey Global Institute (2023) reported $1.3 trillion potential value creation across four key industries (automotive, chemicals, financial services, life sciences) by 2035
• Updated to $2 trillion in McKinsey’s 2024 Quantum Technology Monitor

$1.3 Billion Market Size 2024:

• MarketsandMarkets™ (2024) valued the quantum computing market at $1.3 billion in 2024
• The Quantum Insider (2024a) estimated $1 billion in 2024, growing to$5 billion by 2030

$13 Trillion AI Economic Impact by 2030:

• McKinsey Global Institute (2018) projected AI could deliver $13 trillion in additional global economic activity by 2030 (approximately 1.2% additional GDP growth per year)

$30+ Billion Government Quantum R&D:

• McKinsey (2023) reported total announced global government funding exceeded $38.6 billion for quantum technologies
• McKinsey (2024) updated total public funding to approximately $42 billion

$1.5+ Billion Private Investment 2024:

• Based on The Quantum Insider’s market intelligence and annual funding reports tracking private quantum startup investments in 2024

Technical Standards and Protocols

National Institute of Standards and Technology (NIST) (2024) Post-Quantum Cryptography Standardization. Available at: https://csrc.nist.gov/projects/post-quantum-cryptography (Accessed: 10 January 2025).

Additional Industry Sources

International Data Corporation (IDC) (2024) Quantum Computing Forecast. IDC Market Analysis.

Gartner, Inc. (2024) Cybersecurity Forecast and Market Analysis. Gartner Research.

SaaS Capital (2024) SaaS Benchmarking Report 2024. Available at: https://www.saas-capital.com/ (Accessed: 10 January 2025).

Note on Citation Methodology:

All market data claims in this business plan have been cross-referenced with multiple authoritative sources including McKinsey Global Institute, Boston Consulting Group, The Quantum Insider, MarketsandMarkets™, and IDC. Where specific figures are cited (e.g., “$1.3 trillion by 2035”), the original publication date and source are noted. McKinsey’s quantum market projections have been updated annually, with the most recent 2025 report available at the time of this writing.

For the most current market data and updated projections, readers are encouraged to consult:

• McKinsey Quantum Technology Monitor (published quarterly)
• The Quantum Insider Intelligence Platform (subscription required)
• Boston Consulting Group Quantum Computing Research
• NIST Post-Quantum Cryptography Project Updates