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

We are developing a suite of seven venture-ready technologies 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 IPO by 2028–2030.

Market Opportunity

The timing is ideal. The global quantum computing industry is on the cusp of explosive growth, projected to create nearly $1.3 trillion in economic value by 2035. 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 is injecting trillions into the economy – up to $13 trillion by 2030 according to McKinsey – and creating unprecedented 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, and private investors poured a record $1.5+ billion in 2024 into quantum startups. This rising tide underscores an unprecedented 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 significant traction and validation. QDaria was recently recognized among the top 5 startups in Europe and top 25 globally, earning our CEO a keynote invitation to 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 Norway’s first quantum processing unit, 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: €12M Series A Round

QDaria is currently raising a €12M Series A round to fuel our next phase of growth. The funding will support:

• Hardware Acquisition ($3M): Dilution refrigerator and quantum computing equipment including Rigetti Novera QPU deployment
• Team Expansion ($4.2M): World-class quantum engineers and AI researchers
• Product Development ($1.8M): MVP launches for Zipminator, Qm9, and QDiana
• Operations & Marketing ($1.8M): Lab setup, legal/IP, brand development
• Quantum Cloud Access ($1.2M): Computing resources and platform development

With this seed capital, we will establish Norway’s first quantum computing facility 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-IPO roadmap targets public offerings between 2028–2030, beginning with Zipminator (2028), followed by Qm9 and QDiana (2029), and QMikeAI (2030). 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 revolutionize 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 the global leader in topological quantum computing, driving the quantum revolution 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 at the forefront of breakthroughs. By 2030, QDaria Holdings will comprise multiple successful companies pioneering quantum+AI solutions in their respective domains, collectively propelling the world into the quantum age.

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 roughly $1.3 billion. This figure is expected to grow to about $5–6 billion by 2029 (a >30% CAGR) 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 revolutionize industries from finance to pharmaceuticals by solving complex problems far beyond the reach of classical computers.

Figure: Projected Global Quantum Computing Market Impact 2020–2035, showing exponential growth to ~$1.3T by 2035. The chart displays three scenarios (Conservative, Base Case, Optimistic) with QDaria’s projected revenue trajectory. Interactive chart - hover for details. Source: McKinsey, BCG, The Quantum Insider.

Market Segmentation

Figure: $1.3T quantum computing market segmentation across 5 key sectors. Interactive sunburst chart - click to drill down into sub-sectors and use cases. Data shows Total Addressable Market (TAM), Serviceable Addressable Market (SAM), and Serviceable Obtainable Market (SOM) for each segment.

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, 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 add an additional $13 trillion to global economic output by 2030 – roughly a 1.2% boost to annual GDP growth worldwide. The global AI software market reached ~$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

Figure: QDaria SWOT Overview visualizing our internal Strengths (unique tech, focused strategy), Weaknesses (startup scale, unproven tech), Opportunities (market growth, first-mover advantage), and Threats (incumbent competition, technical risks).

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; IPO candidate for 2028

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; IPO candidate for 2029

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 envisioned as the world’s most 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; IPO candidate for 2029

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; IPO candidate for 2030

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

Figure: QDaria’s 7-product portfolio with revenue projections and growth rates by 2030. Total projected revenue: $350M across all ventures. Interactive donut chart - click products for detailed breakdown, stage badges (MVP/Beta/GA), and growth sparklines.

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:

Figures: Strategic execution timeline and milestone Gantt chart showing QDaria’s 6-year roadmap from seed funding through multiple IPO events.

2025: Foundation and Seed Stage

Key Activities:

• QDaria officially (re)founded in Q1 2025
• Secure $12M seed 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 showing quantum advantage
• Install Rigetti QPU in Oslo (Norway’s first quantum hardware)

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 A (~$8M) mid-2026
• Beta release of Zipminator for enterprise trials
• Integrate QMikeAI alpha into Qm9 platform
• Expand quantum kit rental inventory

Milestones:

• Demonstrate quantum advantage in narrow task (compression or optimization)
• 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 B (~$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: First IPO and Continued Growth

Major Event: Zipminator, Inc. IPO (H2 2028)

Rationale: By 2028, quantum-safe encryption will be critical as large quantum computers loom. Zipminator will have clear business model and significant user adoption.

Other Activities:

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

Financial Impact:

• Zipminator IPO raises substantial capital for security suite expansion
• QDaria Holdings retains significant equity stake
• Credibility boost for entire portfolio

2029: Multiple IPOs and Expansion

Major Events:

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

Status: QDaria Holdings oversees three publicly traded subsidiaries

Strategic Activities:

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

2030: Final Planned IPO and Maturity

Major Event: QMikeAI, Inc. IPO

Achievement: QDaria Holdings comprises four public companies plus emerging divisions (QNilaya, TeHaA, Damon)

Topological Quantum Milestone: Demonstrate working small-scale topological qubit system (logical qubit with Fibonacci anyons)

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.

Figure: Comprehensive financial projections showing revenue, gross profit, EBITDA, and net income from 2025-2030. The visualization includes three scenarios (Conservative, Base, Optimistic) with key performance indicators and milestone annotations.

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 ~110% CAGR from 2026 to 2030 – aggressive but plausible given high-growth markets and multiple product launches.

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 expect to reach break-even around 2028 and achieve positive net income in 2029. 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

Seed Round ($12M) - Current Series A ($8M) - Mid-2026 Series B ($20M) - 2027 IPO Events - 2028-2030 (subsidiaries)

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

$12M Seed Funding Allocation

This $12M is designed to get us through the critical “prove and launch” phase for 2–3 core products and set the stage for Series A 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

Figure: Comprehensive financial KPI dashboard showing 8 key metrics including Revenue, EBITDA, ARR Growth, Burn Rate, CAC/LTV ratio, Customer Count, Gross Margin, and IPO Readiness score. Each metric includes sparkline visualization and YoY change percentage.

Figure: Stacked area chart showing revenue projections for all 7 QDaria products from 2025-2030. Toggle between Conservative/Base/Optimistic scenarios. Export data to CSV for detailed analysis.

Figure: Waterfall chart showing Customer Acquisition Cost (CAC) to Lifetime Value (LTV) progression. QDaria’s CAC/LTV ratio of 14.6:1 significantly exceeds industry benchmarks (3:1 average). Payback period: 4.2 months. Interactive drill-down by product (Qm9, QDiana, Zipminator).

Figure: Quarterly and annual cash flow analysis from 2025-2030 showing Operating CF, Investing CF, Financing CF, and Cumulative Cash. Toggle between quarterly and annual views. Includes funding event markers (Series A €12M, Series B €20M projected, IPO $100M projected). Break-even operating cash flow achieved in Q2 2028.

Figure: Monthly burn rate visualization with runway projection and cash balance tracking. Current burn: $850K/month with 14-month runway on €12M Series A. Includes funding markers, break-even annotation (Q2 2027), and scenario planning for 20%/30%/40% burn reduction impacts.

Figure: Interactive scenario comparison with Monte Carlo simulation (10,000 runs). Adjust key assumptions (CAGR 50-250%, Churn 5-20%, Funding €5M-€30M, Market Share 0.1-5%) and see real-time impact on revenue projections. Includes risk-adjusted NPV calculation and confidence intervals (90%, 95%).

Figure: Multi-series growth chart tracking Total Users, Active Users, Paying Customers, Enterprise Accounts, and MRR from Q1 2025 to Q4 2030. Includes growth milestones (First 100 users, Product-Market Fit at 1K, Unicorn metrics at 10K, IPO readiness at 50K). Toggle between Cumulative and Net Adds views. Expandable cohort retention heatmap shows 1/3/6/12/24-month retention rates.

Figure: Sankey diagram showing capital allocation from funding sources (Equity Investors 80%, Debt 10%, Grants 10%) to use categories (Hardware 25%, Team 35%, Product Dev 15%, Operations 15%, Quantum Cloud 10%). Interactive flow highlighting with ROI indicators on each category. Time slider shows multi-round flows (Seed 2025, Series B 2027, Series C 2029). Includes burn rate warnings and revenue recycling from 2026+.

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:

Figure: Comprehensive risk assessment matrix showing probability vs. impact for key risk factors across technical, market, financial, and regulatory categories. Bubble size indicates the level of mitigation strategies in place.

Figure: 6-dimensional risk radar chart comparing Current Risk levels vs Mitigated Risk across Technical, Market, Financial, Operational, Regulatory, and Competitive dimensions. Overall risk reduction: 61%. Click any dimension to view detailed mitigation strategies and risk scores.

Figure: 3D competitive landscape analysis showing QDaria’s positioning relative to 15 quantum computing companies. The 3D bubble chart displays Technology Maturity (X-axis), Market Share (Y-axis), Funding Raised (Z-axis), and Annual Revenue (bubble size). Rotate and zoom for detailed exploration. QDaria highlighted in cyan with projected 2025-2030 growth trajectory.

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. Proven Traction

• Top 5 startup in Europe, Top 25 globally
• Davos Innovation Week 2025 keynote invitation
• Strategic partnerships with Rigetti, Bluefors
• Norway’s first quantum computing deployment

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. Clear Exit Strategy

• Multi-IPO roadmap: Zipminator (2028), Qm9 (2029), QDiana (2029), QMikeAI (2030)
• Each subsidiary independently valuable
• 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:

• $12M seed at $40M pre-money valuation
• 2030 revenue: $100M with 25% net margin
• Conservative 10x revenue multiple = $1B valuation
• Seed investor return: ~25x in 5-6 years

Optimistic Scenario:

• Multiple IPOs create 4 public companies by 2030
• Combined market cap potential: $3-5B (quantum + AI premium multiples)
• Seed investor return: 75-125x

Use of Funds

The $12M seed round provides 18-24 months runway to achieve critical milestones:

Year 1 (2025):

• Install Norway’s first quantum computer (Rigetti QPU)
• Launch Zipminator v1.0 and kit rental program
• Demonstrate QDiana AI tutor capabilities
• Prove quantum advantage in narrow application

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 A at 3-5x valuation increase

Why Invest Now

1. Ground Floor Opportunity: Seed investors get in at foundation stage before major value inflection

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

3. Multiple Shots on Goal: 7 products × 4 IPO opportunities = exceptional 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 is a rare opportunity to invest in a company that could define the next era of computing – not through incremental improvements, but through fundamental technological breakthroughs.

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

The $12M seed round is closing 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.