01
AI Engineering
LLMs · RAG · Agents · Multimodal · Evaluation · Security · Observability · Infrastructure
Intelligent software that survives production.
ExploreResearch · Engineering · Real-world impact
From Research to Real-World Technology.
We research, engineer and deploy AI systems that work in production — and we are building the technology that connects that intelligence to the physical world.
AI ENGINEERING
LLMs / RAG
INTELLIGENT SYSTEMS
Computer Vision / Edge AI
DEEPTECH
AI Hardware / Physical AI
ROBOTICS
Perception / Planning
Built on open models and open infrastructure. We publish what we learn.
Current foundation
Build AI for production.
AI systems are more than models. We engineer the architecture, retrieval, agents, evaluation, security, observability and infrastructure required to make them work in reality — under load, under attack and under change.
DATA
MODEL
RETRIEVAL / TOOLS
AGENT
EVALUATION
SECURITY
OBSERVABILITY
PRODUCTION
LLMs · RAG · Agents · Multimodal · Automation · Evaluation · Security · Observability · Infrastructure · Deployment
Technology areas
Four connected areas.
One continuum.
02
Intelligent Systems
Computer Vision · Edge AI · Embedded Intelligence · Sensors · Real-Time Inference · Decision Systems
Moving intelligence to where the decision happens.
Explore03
DeepTech
AI Hardware · Accelerators · Embedded Systems · Advanced Sensors · Physical AI · Neurotechnology · BCI
Exploring the deeper technologies that expand what intelligent systems can do.
Explore04
Robotics
Perception · Planning · Control · Manipulation · Navigation · Autonomy · Physical AI
Extending intelligence into machines that perceive and act.
ExploreHow we work
Research to production,
without the gaps.
01
Research
Understand the problem and what has already been tried.
02
Prototype
Build the smallest thing that tests the risky assumption.
03
Engineer
Turn the prototype into a system that handles real inputs.
04
Evaluate
Measure against a fixed test set. Numbers before opinions.
05
Operate
Deploy, observe, and improve on evidence from production.
“Evaluation is not a phase. It is the thing that tells you whether any of the rest worked.”
Our technology
Noema and Soma.
Two layers we are building.
The intelligence, and the body it operates through.
Noema
The intelligence layer. Multimodal systems that perceive, understand and reason about situations.
Soma
The embodiment layer. A humanoid platform for sensing, planning and safe physical action.
PERCEIVE REASON PLAN ACT LEARN
Both are early. We publish what works and what does not.
Research
Working in the open.
Notes, experiments and results from what we are building. Published whether or not the result was the one we wanted.
The direction
Intelligence beyond
the screen.
Most AI today produces information. We are working toward systems that perceive a situation, decide what to do and act on it — in factories, in the field and in machines that people depend on.
Measure honestlyA number on a fixed test set, or it did not happen.Build for realityThe demo is not the product; the thing that runs on a bad day is.Publish the failuresThe negative result is the part nobody else shares.
Start a conversation
Have a difficult problem?
Whether you are building an AI system, exploring a new product, or researching what comes next — tell us what you are trying to do.