An engineering studio for funded startups and modern operators. We design, build and ship MVPs, SaaS platforms, AI products and operational software — for teams who want it done seriously.
We pick technology like senior engineers — boring where it matters, ambitious where it counts. Typed end-to-end, observable by default, ready to scale.
TypeScript, tRPC, Zod — typed contracts from API to UI.
Every product ships with relevant LLM, RAG and automation layers.
OpenTelemetry, audit trails, SOC 2-ready architecture.
Senior product engineers, designers and AI specialists embedded into your team — moving like a startup, shipping like one too.
A curated look at the platforms our team designs and engineers — composed concept previews of what we ship for the startups we partner with.
More projects and reference implementations available on request under NDA.
Request the deckFive stages, calibrated for funded startups. Built to compress timelines without compromising the systems we leave behind.
We embed with founders to understand the product, the user, the market and the constraints. We leave with a sharp engineering thesis.
We pressure-test scope, scope down to the smallest credible release, and design the architecture that won't need to be rewritten.
Embedded pod ships in two-week increments. Design, frontend, backend, AI and infra move as a single team — not handoffs.
Hardening, observability, security review and launch. We don't believe in soft launches that ship broken software in disguise.
Optional retainer where we keep the product compounding — performance, AI iteration, new features, and on-call confidence.
A small, deliberately senior team. Founders working directly with founders — no layered handoffs, no junior accounts.
Founded Nyravon and leads engineering — architecting and writing the code behind every project we ship.
Works directly with founders and operators — scoping projects, owning partnerships and keeping every client engagement on track.
Straight answers on timelines, collaboration model, and how we build production-grade systems with startups.
Typical Engagement
6-10 weeks
for MVP launch with weekly checkpoints and sprint demos.
Most MVPs launch in 6 to 10 weeks depending on scope, integrations, and data complexity. We define a smallest-credible release in week one and ship in sprint increments.
Whether you need an MVP shipped in eight weeks, an AI layer rebuilt for production, or an engineering pod for the next phase — we should talk.