Access to Physics Intelligence
Neoamorfic™ provides tiered access to the QEIv15™ entropy-physics engine and domain-specific Structural Engines. Licensing is structured to match who you are, the domain you work in, and how critical Physics Intelligence is to your mission.
Students
From €29 / month
For students who want to experiment with Physics Intelligence in a single domain engine using their own datasets.
- Access to 1 domain engine (EEG or CO₂ at launch)
- Low-volume QEIv15 cycles for personal use
- Non-commercial, academic purposes
- Lab console access for demos and tests
- API key with fair-use rate limits
Engineered for: BSc, MSc and PhD students in neuroscience, climate science, finance, physics and related fields.
Individual Researchers
From €170 / month
For independent researchers and postdocs who need sustained access to one domain engine for publishable work.
- Access to 1 domain engine (EEG or CO₂ at launch)
- Higher monthly QEIv15 cycles (research volume)
- Academic, non-commercial usage rights
- Lab console + API integration
- Email-based technical onboarding
Engineered for: Independent researchers, postdocs, visiting scientists and consultants.
Labs & Departments
From €45,000 / year
For labs or departments that want a shared, ongoing Physics Intelligence capability in a single domain engine.
- 1 domain engine (EEG Engine or CO₂ Engine at launch)
- Unlimited users within a single lab/department
- High-volume cycles for that engine
- CPU-based deployment (cloud or assisted local install)
- Support for data format adaptation and workflow integration
Engineered for: Neuro labs, climate groups, specialized R&D teams and translational research units.
Academic & Medical Institutions
Typical range: €150,000–€1,200,000 / year
For universities, teaching hospitals and institutes that want QEIv15 as a structural engine for multiple domains and teams.
- Access to all currently available engines (EEG + CO₂ at launch)
- Institution-wide or campus access, unlimited users
- Unlimited cycles under fair-use terms
- Integration with local compute clusters when needed
- Priority influence on roadmap and engine evolution
Engineered for: Universities, hospital networks, research institutes and national labs.
Private Sector & Commercial Use
Typical range: €750,000–€5,000,000 / year
For companies that want to embed Physics Intelligence into live systems: trading, vehicles, robots, infrastructure or analytics products.
- Commercial license for 1 primary domain engine (EEG, CO₂, F1, etc. as they become available)
- Unlimited users within the organization
- High-throughput QEIv15 cycles for production workloads
- On-prem, private cloud or hybrid deployment options
- Optional X-40™ Structural Bridge integration for AI/LLM/compute stacks
Engineered for: F1 teams, hedge funds, robotics companies, aerospace, medtech, insurers and critical infrastructure operators.
Strategic Physics Intelligence Partners
Typical range: €10,000,000–€50,000,000+ / year
For organizations whose missions require new Physics Intelligence engines, nation-scale deployment, or long-term strategic co-development.
- Access to QEIv15 core and all relevant engines
- Co-design and co-development of new domain engines
- Embedded R&D collaboration and dedicated support teams
- Custom deployment models (air-gapped, HPC, specialized hardware)
- Option for exclusivity or domain-specific rights in selected areas
Engineered for: Space agencies, defense organizations, major pharma, national risk agencies and frontier tech leaders.
Engines at launch: one engine per domain (e.g. EEG Entropy Engine, CO₂ Structural Engine). Additional engines (sleep, hurricane, protein, F1, etc.) will be added over time and can be attached to existing licenses.
Pricing guidance: Ranges above are indicative and depend on domain, deployment, data volume and integration complexity. Formal proposals are issued after a short technical and needs assessment.
Infrastructure: Initial deployments run on CPU-based clusters (DigitalOcean, RunPod or customer infrastructure). GPU/TPU acceleration and X-40 integration are introduced case-by-case where specific engines and workloads benefit from it.