0.3001 mJ*
Energy / task · Modeled
2,399×*
Energy improvement · vs NVIDIA Jetson Orin
60×*
Energy improvement · vs Intel Loihi 2

*Based on a simulated workload of a humanoid moving an object within a hazardous environment with humans present. Energy estimations are based on published data for similar workloads. We are continuing to refine our simulator, so these numbers are subject to change.

Neuromorphic intelligence for autonomous systems

OSSI — Neuromorphic Intelligence for Autonomous Systems

Organosynthetic Super Intelligence

A neuroscience-inspired, event-driven compute platform designed for adaptive intelligence in robotics and autonomous systems.

Neural substrate · active
Event stream 07
An engineered human brain composed of seven chiplet regionsNumbered processing regions exchange firing signals through circuit-like neural pathways.REGION01REGION02REGION03REGION04REGION05REGION06REGION07
Regions online07 / 07
Engineered neural architecture Neurons firing
Customer & partnership enquiries

Help build thenext era of compute.

Tell us where you are building and whether you want to evaluate OSSI or explore a technology, R&D or commercial partnership.

Proof of concept

Early simulation, order-of-magnitude gains.

Modeled performance of our architecture, benchmarked against the leading edge accelerators in the world today.

2,399×*
Energy improvementvs NVIDIA Jetson Orin
60×*
Energy improvementvs Intel Loihi 2

* Based on a simulated workload of a humanoid moving an object within a hazardous environment with humans present. Energy estimations are based on published data for similar workloads. We are continuing to refine our simulator, so these numbers are subject to change.

Simulator estimates — not measured silicon.

Competitive positioning

A different lane in a crowded category.

Most neuromorphic players sit in one of three lanes — edge efficiency, sensor vision or research platform. OSSI is building the multi-region architecture none of them are.

Boston Box
Neuromorphic landscape
Market attractiveness →
Competitive strength / commercial readiness →
QUESTION MARKSSTARSEMERGING / NICHESTRATEGIC PLATFORMSOSSIRain AIGrAI Matter LabsBrainChip AkidaInnatera PulsarSynSense SpeckIntel Loihi / Hala PointIBM NorthPole

High potential, early traction — a differentiated architectural thesis with a sharp beachhead in robotics and defence-oriented edge intelligence.

vs Edge inference players

Optimise efficiency at a single narrow task. We span seven cognitive functions.

vs Sensor-vision SoCs

Locked to a modality. Our architecture generalises across visual, audio and sensory streams.

vs Research platforms

Validate the field at scale but don't ship a focused commercial wedge. We do.

For robotics & autonomous-systems teams

Put adaptive compute inside your platform.

OSSI is running an evaluation pipeline with robotics teams — simulated workloads first, then FPGA prototypes carrying your task profile.

  1. 01Evaluate

    Simulated workloads on your task profile

  2. 02Integrate

    FPGA MVP into your autonomy stack

  3. 03Deploy

    Feedback shapes the next iteration

Order-of-magnitude energy headroom

Event-driven processing turns continuous inference into sparse, on-demand computation — power budgets stop dictating mission scope.

Adaptation at the edge

On-chip learning lets behaviour update in the field, without round trips to the cloud or a retrain cycle.

Real-time determinism

Latency follows signal arrival, not batch schedules — critical for balance, manipulation and fast-moving perception.

Discuss your application

Energy results quoted on this site are modeled outcomes from an actively refined simulator and are subject to change as the model matures.

Founding team

Neuroscience leadership, Intel Loihi 2 experience and ARM engineering lineage — in one founding team.

A rare combination of clinical neuroscience, frontier neuromorphic research and decades of silicon-grade engineering — supported by ex-SpaceX, ex-ARM and ex-Deloitte team members — assembled to execute on adaptive, real-world AI.

Ricky Patel, PhD

Ricky Patel, PhD

Co-founder & CEO

Clinical neuroscientist turned operator. Leads vision, commercial strategy and partnerships at OSSI.

  • PhD in Clinical Neuroscience
  • Ex-researcher in ALS/Dementia — molecular neuroscience mechanisms
  • Founder, Point Science Analytics — AI-powered technical due diligence platform
  • Deep-tech technical due diligence across early- and growth-stage hardware companies
Prof. Dr. Yulia Sandamirskaya

Prof. Dr. Yulia Sandamirskaya

Co-founder & CRO (Chief Robotics Officer)

One of Europe's leading voices in neuromorphic computing and cognitive robotics.

  • PhD in Physics
  • Ex-Intel Labs — Applications Research Lead & co-author, Loihi 2 research paper
  • Co-founder, YuRo AG & Auroniq Robotics
  • Professor of Cognitive Computing, ZHAW Zurich University of Applied Sciences
  • 144+ peer-reviewed publications in cognitive computing & robotics
Advisors & extended team

Backed by senior operators across neuromorphic hardware and robotics.

Lead Neuromorphic Algorithm Engineer

30+ years in AI and neural-network engineering with direct SpiNNaker2 lineage from a leading UK university group. 15+ peer-reviewed publications spanning silicon, simulation and spiking neural networks.

Hardware Silicon Lead Engineer

Ex-SpaceX with over 25 years of experience in FPGA and custom ASICs — spanning silicon architecture, tape-out readiness and high-reliability systems.

Neuromorphic Hardware Advisor

Senior contributor to next-generation neuromorphic silicon programs in Europe — deep expertise in low-power compute architectures and event-driven processing.

Robotics & Embodied AI Advisor

Founder-level operator in autonomous robotics, advising on real-world deployment of adaptive control and sensorimotor learning systems.

Industry & Governance Advisors

Ex-ARM and ex-SpaceX directors, together with ex-Deloitte leadership — deep-tech board operators and industry advisors across the UK, EU and US.