Pool Projects
Express interest in a Collaborative R&D Pool
Sparse Supernova may issue separate collaborative R&D pool offerings for different products, validation programmes, and technical pathways. If you would like to register interest in a current or future pool project, complete the form below and we will contact you directly.
Commercial Routes
Two commercial routes: R&D or Licensing
We work with customers through either a structured R&D programme or a licensing arrangement. The right route depends on whether the problem is still technically uncertain, or whether the customer is ready to deploy within a defined commercial scope.
Full Vertical Programme or Licence
£4,000,000 GBP
Per Vertical / Per Year
For organisations operating across a full industry vertical.
Applies where the customer wants rights across a complete vertical footprint, including:
- Custom primitives
- Trust modules
- Sparse applications for internal operations, customer solutions, and services
- Includes all domains and sub-domains within the licensed or developed vertical
- Supports multi-site prototypes, embedded innovation, and scalable intelligence deployment
Use this route when: the customer wants broad strategic rights, multi-domain deployment, or differentiated capability across a whole vertical.
Sub-Domain Programme or Licence
£50,000 GBP
Per Sub-Domain / Per Year
For one defined use case, technical layer, or domain.
- Scoped to one sub-domain only
- No parent, sibling, or adjacent domains unless separately added
- Outcome: a validated prototype or deployment right for the defined technical uncertainty or use case
Use this route when: the customer wants one tightly-defined outcome, a narrow commercial scope, or a fast bounded engagement.
Pilot Route
Lighthouse Pilot — the bridge between R&D and Licensing
A fixed-scope proof-of-value programme designed to validate one use case, one workflow, one owner, and one KPI set before wider scale-up.
- Pilot fee: typically 10% of the target annual programme or licence value.
- Scope: one use case, one workflow, one decision surface.
- Outcome: a deployed prototype, measured results, and a scale recommendation.
- Expansion path: successful pilots can convert into a sub-domain licence, vertical licence, or a broader strategic R&D programme.
Disciplined first step
This is not open-ended consulting. It is a disciplined first step designed to establish whether the commercial case supports a wider R&D programme or a direct licensing arrangement.
Commercial fit
Why customers choose R&D first — and why some move straight to licence
Customers choose the R&D route when they need uncertainty resolved in their own environment. They choose licensing when the use case, scope, and commercial value are already clear.
- Use R&D when the technical pathway is not yet proven.
- Use R&D when the customer wants a defined innovation programme tied to measurable uncertainty.
- Use licensing when the customer already knows the workflow, deployment shape, and commercial footprint.
- Use licensing when the goal is speed, operational rollout, and rights to deploy.
- Move from pilot → R&D → licence, or from pilot → licence, depending on what the validation shows.
Commercially cleaner
For many organisations, structured R&D is the easiest way to begin because it aligns with innovation budgets and may support government-backed R&D incentive frameworks depending on jurisdiction. Once the uncertainty is resolved, the commercial relationship can move cleanly into licensing.
Taxonomy Map
Available Verticals & Domains for R&D Programmes and Licensing
The list below shows the range of sectors where we run structured R&D and offer licensing arrangements. Representative, not exhaustive—custom-scoped within agreements to target either technological uncertainty or defined deployment rights.
Note: Domains and sub-domains are representative. Engagements are scoped in the agreement either to resolve technical uncertainty through R&D or to define deployment rights through licensing.
1. Healthcare & Life Sciences
- Diagnostics and medical imaging
- Clinical decision support
- Hospital operations optimisation
- Electronic health record (EHR) automation
- Claims and coding automation
- Population health analytics
- Drug discovery and development
- Genomics and precision medicine
2. Finance, Banking & Insurance
- Fraud detection and prevention
- Credit scoring and risk assessment
- Risk modelling and stress testing
- Algorithmic trading and portfolio optimisation
- Robo-advisory and wealth management
- Anti-money laundering (AML) and Know Your Customer (KYC)
- Insurance underwriting
- Claims automation and processing
- Customer service and chatbots
3. Retail, E-Commerce & Consumer
- Recommendation engines
- Search and ranking optimisation
- Dynamic pricing and promotions
- Demand forecasting
- Inventory optimisation
- Customer segmentation and targeting
- Marketing automation and personalisation
- Conversational commerce (chatbots, virtual assistants)
4. Manufacturing & Industrial
- Industrial automation
- Sensors (vibration, temperature, current/voltage/energy, pressure/flow/level, proximity/position, environmental)
- Control systems (PLCs/PACs, edge controllers, safety controllers)
- Actuators and drives (motors, drives, valves, relays, pneumatics)
- Robotics and material handling (robots, cobots, AGVs/AMRs, conveyors)
- Supervisory and execution (SCADA, HMI, MES, historians)
- Analytics and IIoT (edge gateways, predictive maintenance, dashboards)
- Predictive maintenance
- Quality inspection (computer vision)
- Production planning and scheduling
- Digital twins and simulation
- Supply chain optimisation
Industrial Partner Value
For industrial partners, Sparse Supernova primitives and sparse applications can be deployed above existing controls, inspection, telemetry, and automation layers to deliver earlier warning, predictive maintenance, machine-health intelligence, reject reduction, waste reduction, and lower carbon per unit of output. Where needed, Novas can sit above those systems as an optional governed runtime layer.
5. Supply Chain, Logistics & Transport
- Route and delivery optimisation
- Fleet management
- Warehouse automation
- Picking, packing, and sorting robotics
- Estimated time of arrival (ETA) prediction
- Load planning and optimisation
- Demand and inventory planning
- Autonomous vehicles and drones
6. Smart Buildings, Real Estate & Facilities
- Building automation and smart buildings
- Building sensors (occupancy/people-count, temperature/humidity/CO₂/VOC, light level, power/meters, access/contact, leak/smoke/safety)
- Building systems control (BMS/BAS, HVAC control, lighting/shading control)
- Security and safety (CCTV analytics, access analytics, intrusion detection)
- Space and workplace analytics (space utilisation, comfort analytics)
- Energy and sustainability (energy optimisation, fault detection and diagnostics)
- Facility and asset management
- Workplace analytics
7. Smart Cities & Public Sector
- Traffic management and optimisation
- Smart parking systems
- Smart street lighting
- Waste management optimisation
- Environmental monitoring (air quality, noise, pollution)
- Public safety analytics (CCTV, incident detection)
- Citizen services and support (chatbots, service automation)
- Urban digital twins
8. Energy, Utilities & Environment
- Grid optimisation and management
- Load forecasting
- Renewable energy integration
- Fault detection and diagnostics
- Asset monitoring and predictive maintenance
- Demand response and energy trading
- Emissions and environmental monitoring
9. Agriculture & Food
- Precision farming and crop monitoring
- Soil health analytics
- Yield prediction and optimisation
- Pest and disease detection (computer vision)
- Irrigation optimisation
- Autonomous agricultural equipment
- Supply chain and pricing optimisation (post-harvest)
10. Media, Entertainment & Gaming
- Content recommendation engines
- Advertising targeting and optimisation
- Generative content creation (text, image, video, music)
- Content moderation and safety
- Audience analytics and engagement
- In-game artificial intelligence
- Procedural content generation
11. Travel, Hospitality & Mobility Services
- Dynamic pricing and revenue management
- Demand forecasting
- Route and schedule optimisation
- Personalised offers and recommendations
- Customer service chatbots and virtual assistants
- Review and sentiment analysis
- Operations optimisation (staffing, resource allocation)
12. HR, Talent & Workforce
- CV parsing and candidate screening
- Candidate matching and talent sourcing
- Attrition prediction and retention analytics
- Workforce scheduling and optimisation
- Performance analytics and feedback
- Internal support bots and HR automation
- Skills mapping and development planning
13. Education & Training
- Personalised tutoring and adaptive learning
- Adaptive testing and assessment
- Automated grading assistance
- Content generation and curation
- Skills assessment and certification
- Learning analytics and engagement tracking
- Language learning assistants
14. Legal, Compliance & Professional Services
- Contract analysis and review
- Electronic discovery (e-discovery)
- Legal research and case analysis
- Document drafting and automation
- Policy and compliance checking
- Regulatory reporting automation
- Expert support bots and knowledge management
15. Marketing, Sales & Customer Service
- Lead scoring and qualification
- Churn prediction and retention
- Campaign optimisation and A/B testing
- Content and copywriting generation
- Customer service chatbots and virtual agents
- Call-center assistance and sentiment analysis
- Sales forecasting and pipeline analytics
16. Cybersecurity & IT Operations
- Threat detection and response
- Anomaly detection (network, user behaviour)
- Phishing and malware detection
- Log analysis and SIEM correlation
- Incident triage and orchestration
- AIOps for IT outages and root cause analysis
- Vulnerability analysis and patch prioritisation
17. Automotive & Mobility (OEM)
- Autonomous driving systems
- Advanced driver assistance systems (ADAS)
- Driver monitoring and safety
- In-vehicle virtual assistants
- Manufacturing optimisation (vehicle production)
- Predictive maintenance for vehicles
18. Oil, Gas & Heavy Industry
- Exploration and reservoir modelling
- Predictive maintenance for industrial assets
- Safety monitoring and incident detection
- Production optimisation
- Leak and spill detection
19. AI Infrastructure, Cloud & Data Centres
- AI / HPC data centres
- Facility and IT sensors (rack/row power and current, temperature/humidity/airflow, leak detection, door/contact sensors)
- Capacity and resource management (power/cooling capacity planning, rack and workload placement)
- Energy and thermal optimisation (cooling optimisation, PUE and energy reduction)
- Data centre infrastructure management (DCIM with AI, alarm correlation, anomaly detection)
- AI compute platforms (GPU clusters, model training and serving, MLOps)
- Cloud platforms for AI workloads
- Edge computing and co-location
20. Cross-Industry AI Platforms & Tools
- Foundation models and APIs
- AI agent platforms
- Robotic process automation (RPA) with AI
- AI analytics and business intelligence platforms
- Vector databases and embeddings infrastructure
- MLOps, model monitoring, and evaluation tools
Global incentive support
If R&D is the route, check your jurisdiction first
For international organisations considering a commissioned R&D programme, Sparse Supernova provides a Global R&D Map Calculator covering multiple jurisdictions. This helps customers estimate whether a proposed R&D spend may align with local incentive frameworks before deciding whether R&D or direct licensing is the better commercial route.
- Input a proposed investment amount.
- Review indicative support conditions by jurisdiction.
- Use the result to decide whether structured R&D or direct licensing is commercially cleaner.
Simple decision rule
If the problem is still uncertain, start with R&D. If the use case is already clear, start with licensing. If you need proof before either, start with a lighthouse pilot.
Global R&D Map
Global R&D Incentive Map (51 Jurisdictions)
Interactive global map of tax incentives and indicative relief for organisations considering the R&D route. Use it to assess whether a proposed R&D programme may align with local support frameworks before deciding between commissioned development and direct licensing.
Commercial terms
Commercial terms: how to choose the right route
- R&D route: for customers with genuine technical uncertainty and a need for bespoke validation.
- Licensing route: for customers who want deployment rights within a defined domain or vertical.
- Pilot route: used to establish proof-of-value before broader commitment.
- Optional runtime: Novas may be included where orchestration, memory, routing, governance, workflows, or receipts are required.
- Protection: no reverse engineering of core primitives, trust modules, or underlying code.
- Jurisdictional fit: customers pursuing the R&D route should review local tax and incentive rules with their own advisers.
- Commercial expansion: successful pilots and R&D programmes may convert into sub-domain or full vertical licences.
Simple decision rule
If the problem is still uncertain, start with R&D.
If the use case is already clear, start with licensing.
If you need proof before either, start with a lighthouse pilot.
Contact: [email protected] or our Contact page.