ProductUpdated on 26 January 2026
AI Product Development and Commercialisation Support
About
We provide comprehensive support for developing and commercialising AI-enhanced products through knowledge exchange partnerships. Our services include co-developing innovative product concepts with embedded academic expertise, providing access to cutting-edge research and specialised facilities for product development and testing, supporting prototype development and validation with real-world data, guiding regulatory compliance and quality assurance processes, and facilitating routes to market, including commercialisation strategy and IP protection.
Our past product development partnerships have achieved remarkable outcomes, including up to 46% performance improvements in accuracy and efficiency, successful commercial launches with international deployment, and recognition through national innovation awards. We work across sectors, including advanced manufacturing, healthcare technology, environmental monitoring, smart manufacturing, and sustainable solutions, to help businesses create market-leading products.
Organisation
Similar opportunities
Partnership
Strategic Innovation Partnerships for Business Growth
- Business
- Needs analysis
- Joint development
- Knowledge transfer
- Technology transfer
- Testing of technology
Mark Day
Business Development Manager at Kingston University London
London, United Kingdom
Service
Knowledge Transfer and Innovation Commercialisation Services
- Energy
- Education
- Consulting
- Healthcare
- Electronics
- Environment
- Testing & Analysis
- Technology Transfer
- Space and Aerospace
- Research & Development
- Nano and Microtechnologies
- Biotech, Pharma and Cosmetics
- Education, Training & Qualifying
- Materials, Textiles and Chemicals
- Industrial Equipment and Machinery
- Automotive, Transport and Logistics
Mark Day
Business Development Manager at Kingston University London
London, United Kingdom
Project cooperation
Collaborative R&D Projects in AI, Advanced Manufacturing, ...
- Technical
- Compliance
- Biometrics
- Field tested
- Project phase
- Cyber Defense
- Explainable AI
- Conception phase
- Machine Learning
- Content Creation
- Laboratory tested
- Image Recognition
- Prototype available
- Decision Management
- Emotion Recognition
- Marketing Automation
- Already on the market
- AI-Optimized Hardware
- Deep Learning Platforms
- Digital Twin/AI Modeling
- Virtual Agents / Chatbots
- Natural Language Generation
- Robotic Processes Automation
- Natural Language Processing / Speech recognition
- Text Analytics & NLP (Natural Language Processing)
Mark Day
Business Development Manager at Kingston University London
London, United Kingdom