Trust infrastructure
for production.
Operate ML models, LLMs and agents with the visibility, control and confidence they require in production.
- PyTorch
- OpenAI
- Anthropic
- Hugging Face
- AWS Bedrock
- LangChain
AI is moving
into production.
Visibility is not.
One layer.
Four functions.
- 01
Observe.
Models, prompts, agents and costs — in real time, across the stack.
- 02
Evaluate.
Continuous scoring of quality, factuality and expected behavior.
- 03
Guard.
Policies, alerts and human review for the outputs that matter.
- 04
Audit.
A complete record of what happened, when, and with what impact.
Catch silent model drift before it reaches a single customer.
Matroide watches every model, agent and LLM call in production. The moment behavior shifts, the right team knows — with the context they need to act.
Not just observability.
Reliability infrastructure
for high-stakes AI.
— Matroide thesis · 2026
From observability
to critical AI.
- Phase 01 · NowObservability
- Phase 02Reliability
- Phase 03Safety
- Phase 04Critical AI
- Phase 05Health AI
I have spent years building production AI systems — and watching the same failure modes play out, quietly, across companies that deserved better.
Matroide is the layer I always wished existed: the one that makes AI feel less like a black box and more like infrastructure you can actually run.