From Idea to Launch-Ready AI Product in Six Weeks
Built by senior AI engineers. Delivered through a proprietary framework. Priced and scoped like a product — not billed like a staffing contract.
You need an AI product shipped. You don't need another staffing vendor.
Early-stage founders everywhere — not just in Silicon Valley — are building AI-native products. Most can't yet hire or afford a senior in-house AI team, and the alternative is usually a generalist dev shop: open-ended hours, unpredictable timelines, and a build that resets to zero the day the contract ends.
DaStrata is built for the gap in between.
A fixed-scope, fixed-price studio — not an hourly staffing contract
DaStrata takes global, early-stage startups from idea to a launch-ready AI product in six weeks, using DaStrata Forge — our proprietary framework for building, evaluating, and shipping production AI agents and applications. Every engagement is fixed scope and fixed price, and every build makes the next one faster.
Senior AI Engineers
Not junior staff-augmentation labor — a dedicated bench of senior AI/ML engineers behind every build.
Proprietary Framework
DaStrata Forge — reusable agent architectures, evaluation harnesses, and deployment templates, refined with every client engagement.
Fixed Price, Fixed Scope
You know the cost and the ship date before you sign — no open-ended hourly billing.
Three ways to work with us — start small, or go all in
Validate
1–2 weeksAI feasibility & architecture sprint — de-risk before you build. You get a technical feasibility report, an architecture blueprint, and a cost/timeline estimate for Launch.
Launch
6–8 weeksProduction-grade AI MVP, deployed and demo-ready, built on the DaStrata Forge framework. This is the core offer — fixed scope, fixed price.
Scale
MonthlyOngoing AI Ops retainer — model monitoring, prompt/agent iteration, evaluation upkeep, and incident response after launch.
Right now, we go deep on fintech and insurtech AI agents
We work with pre-seed to Series A startups building underwriting copilots, fraud and risk agents, compliance-document automation, and customer-operations agents — anywhere in the world. Going deep in one vertical means every engagement makes us better at the next one in the same space: sharper evaluation benchmarks, faster builds, and a working understanding of the compliance bar your investors will hold you to.
If your product doesn't fit this wedge yet, reach out anyway — we take a limited number of engagements outside it each quarter.
We publish our method, because we're early — and because it works
DaStrata is a young studio. Rather than lean on client logos we don't have yet, we're publishing the actual framework we use to ship AI products in six weeks, and a set of AI products we've built ourselves to prove it out.
Founded as a Team, With a Senior AI Engineering Bench Across Two Continents
DaStrata wasn't built by a solo technical founder — it's a founding team that deliberately split go-to-market and client delivery from hands-on AI engineering, so both are a first-class discipline from day one rather than one person's side focus.
Our Chicago team leads go-to-market and client delivery; our Kerala team is the senior AI/ML engineering bench behind every Launch sprint.
Chicago, USA
Go-to-market & founder-facing delivery.
Kerala, India
Senior AI/ML engineering bench.
Ready to see if your idea is a fit?
Start with a two-week Validate sprint — a fixed-price feasibility report and architecture blueprint, with no obligation to continue.