Investors · v0.7 · Raise Summit · Paris 2026
The runtime layer
for production AI.
Governance, observability, and cost control for the AI systems that are already running in production — not the ones in the demo.
One-pager · Flagship workload
What the modelled run looks like
Inventory Object — a French regulated coffre patrimonial numérique — is the flagship workload running on Azoth OS. One inventory scan fans out into dozens of model calls across identify, value, verify and dossier-composition steps. Numbers below are modelled on that real workload and reproducible from the repo.
41% modelled cost reduction across four routes and three providers, auto-balanced for cost vs running every call on the premium model. See methodology for what “modelled” means here.
Problem · Three missing layers
Production AI is missing three layers it can't ship without.
These aren't three products. They're three faces of one missing system: a runtime that sits between the app and the models.
Solution · One runtime
Observe every call. Route every request.
Azoth OS sits between your application and every model it uses. It watches each LLM call across the stack, routes it to the optimal model, enforces policy, and settles the bill — keeping latency, quality and cost in equilibrium.
Market
Every production AI system needs a runtime. None of them have one yet.
Figures are directional estimates by 2030. Bottom-up from per-call routed spend across the major model providers.
Why this position is defensible
The moat is the runtime position.
Sitting in the request path, Azoth OS sees what nobody else does — and that data compounds into routing no competitor can match.
Team · Founders
Builders who have run AI in production — and felt this gap first-hand.
Sets the runtime architecture and the company direction — bridging deep systems engineering with the commercial story investors and enterprises need to hear.
LinkedIn →Owns the operator experience — turning traces, routes and reconciliation into a console teams trust to run regulated AI every day.
Roadmap · 18-month horizon
From invite-only alpha to default European runtime.
The ask · Seed
Raising €1.5M–2.5M.
Inventory Object proved the value in a real, regulated workload. This round takes Azoth OS from invite-only alpha to the default runtime for multi-model AI — starting in Europe.
Contact
Two ways to reach us.
Beweird SAS · 128 rue de la Boétie, 75008 Paris, France
All figures on this page are modelled on the Inventory Object regulated workload and reproducible from the repo. See methodology for the definition of “modelled”.