We're building backends that understand the product.
Backend complexity has been compounding for years. Vadyl is our answer: define the product model once, then let data, APIs, logic, rules, migrations, integrations, observability, and operations move with it.
Vadyl exists because we kept finding ourselves rebuilding the same backend shape on every project: customers, orders, teams, permissions, workflows, APIs, migrations, integrations, observability, agents. Each concern starts reasonable, then drifts away from the product it is supposed to serve. That drift is where change becomes slow and risky.
We started prototyping a system that would treat the product model as primary: the things the product is built around, the rules around them, the actions they can take, and the agents allowed to operate on them. The more we built, the more pieces we realized had to converge: APIs and SDKs compiled from the same descriptor, branching applied to the entire backend graph, capability-aware execution across providers, an AI plane that operated on the same canonical state.
Vadyl is the result. It is not a BaaS, not an ORM, not an API generator, and not a database. It is a backend operating plane where product model, runtime behavior, infrastructure bindings, observability, and operations stay connected as one system.
Engineering values
Coherence over convenience
Every primitive in Vadyl reuses the same product model and platform building blocks. We will rewrite a subsystem rather than introduce a parallel authority.
Fail closed by default
Capability mismatches, missing grants, malformed inputs — all fail closed. There is no permissive degradation path. The cost of being wrong is too high.
Truth over telemetry
Observability records what happened. Explainability projects why decisions were made — directly from canonical authorities. We never reconstruct from logs.
Author once, anywhere
Authoring languages are peer projections of one product model and canonical contract backbone. TypeScript shipped first. Python and Go are not downstream ports — they're peers.
Built around the hard parts of backend work
Deep systems work
We spend our time on the parts that usually leak between tools: authority, runtime behavior, schema change, observability, and operations.
Product-model first
Every surface starts from the same product model, so APIs, SDKs, automation, access, and infrastructure stay aligned as the product evolves.
Long-horizon craft
Vadyl is designed for teams that expect their backend to keep its shape through years of product change, scale, and integration pressure.
Want to join?
We're hiring across the platform team — distributed systems, language design, applied ML, security, compliance.