Request Add if you have anything specific you are looking for

Qognetix is a UK deep-tech company developing a sovereign, hardware-agnostic computational stack combining Persistent Intelligence (PI) and Trusted Execution (TE) to enable intelligent systems to learn, adapt and operate within governed execution boundaries.

Our technology integrates biologically inspired intelligence, continuous local learning, persistent computational state and runtime governance. We have developed substantial foundational technology, including SIBINE, our proprietary intelligence execution environment, supported by a dedicated computational language and development toolchain.

We are seeking industrial and research partners to support independent technical validation, comparative benchmarking, application-specific demonstrations and commercial deployment pathways.

What We Offer

Our technologies are designed to provide:

• Persistent Intelligence: Continuous local learning, adaptive behaviour and persistent state, drawing on biological neural dynamics and synaptic learning.

• Trusted Execution: Runtime governance, operational constraints, bounded autonomy, execution traceability and intervention capabilities.

• Sovereign Computing: Greater control over computational infrastructure, execution environments and technology dependencies.

• Hardware Independence: Portable computing architectures intended for embedded, edge, server and distributed environments.

• AI Integration: Potential to complement existing AI models, optimisation systems and autonomous platforms.

Validation Priorities

We are particularly interested in evaluating:

• Learning and Adaptation: Continuous local learning and adaptation under changing conditions.

• Execution Governance: Runtime constraints, intervention mechanisms, traceability and bounded autonomy.

• Computational Efficiency: Processing, memory, energy consumption and execution overhead.

• Hardware Portability: Compatibility and performance across computing architectures.

• Operational Resilience: Behaviour under connectivity restrictions and resource constraints.

• System Integration: Interoperability with existing AI, robotics and industrial systems.

• Comparative Benchmarking: Reproducible evaluation against established AI and computing approaches.

Partners Sought

We welcome collaboration with:

• Industrial Technology Developers working in AI, robotics, automation, optimisation and intelligent infrastructure.

• Industrial Operators able to provide operational challenges, representative datasets, simulations or testbeds.

• Universities and Research Institutions specialising in computational neuroscience, neuromorphic computing, continual learning and runtime assurance.

• Catapults and Innovation Organisations supporting technology validation and industrial demonstration.

• Hardware and Semiconductor Developers interested in evaluating novel computational architectures.

• Systems Integrators exploring integration with established AI and operational platforms.

Potential Applications

We are open to cross-sector collaboration, particularly in energy and critical infrastructure, robotics, automotive, aerospace, defence, industrial automation and resource-constrained computing.

We also welcome opportunities in other sectors where persistent learning, governed execution or hardware independence could deliver measurable value.

Expected Collaboration Outcomes

Our objective is to progress from feasibility assessment towards independently validated demonstrations and commercially relevant applications.

Potential outcomes include:

• Joint technical requirements and evaluation frameworks.

• Independent benchmarking and reproducible validation results.

• Proof-of-concept integrations and simulation-based demonstrators.

• Hardware-in-the-loop and industrial testbed evaluations.

• Collaborative research publications and technical reports.

• Industrial pilots, commercial partnerships and licensing opportunities.

• Joint applications to BridgeAI, Innovate UK, UKRI and other innovation programmes.

Our aim is to establish where Persistent Intelligence and Trusted Execution deliver measurable advantages, identify their limitations and accelerate their progression towards real-world deployment.