Let's build something that ships.

If it's an agentic system, document intelligence, or AI that has to hold up in production, that is the work we build. Tell us what the system has to do and where it is now: an idea, a prototype, or already in production.

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emailhello@bigcircle.aireply within 2h on weekdaysbook a callcal.com/tirth-gajjarno commitment, no pitchthe workbigcircle.ai/worksee what we ship

If you want to work on these systems rather than have Bigcircle build one, the careers page says what to send.

In short

Bigcircle replies from an engineer within two hours on weekdays, then spends thirty minutes on the first call about what you are trying to ship and what is in the way. If the work is an agentic system, document intelligence, or AI that has to hold up in production, you get a written scope within a week covering what Bigcircle would build, in what order, and what it depends on from your side. The team that wrote the scope builds the system in your repositories, and you own the code.

What happens after you send it.

  1. Within two hoursA reply from an engineer, not a form acknowledgement. Weekday business hours; overnight messages get answered first thing.
  2. The first callThirty minutes on what you are trying to ship and what is currently in the way. No deck. If we are the wrong team, we say so on that call.
  3. Within a weekA written scope: what we would build, in what order, and what it depends on from your side. Yours to keep whether or not you engage us.
  4. StartingThe team that wrote the scope starts the build in your repositories, under your IP, and you know by name who is on it.

10 systems we have built. Ask to see any of them.

Whatever you are about to describe, there is a fair chance we have shipped something close to it. Ask on the first call and we will screen-share the real thing rather than a slide about it.

SolarpunkAnyTeamSkionisBrandiligenceDocVerse AIFinSight AIProspex AIAVOXAVOX RealtyRepliCoach

Asked before people write.

The rest of them
What is the difference between production hardening, a fixed-scope build and a studio-led programme?
It is how much of the delivery we run. Production hardening takes a prototype your team built through an eval set, model routing for cost and latency, a locked-down data path and a safety net. A fixed-scope build is a working AI system delivered against a fixed scope and price, with discovery, build, evals and deployment under one point of accountability. A studio-led programme is a team of three to eight engineers and QA, led by our founder as your fractional CTO, that owns delivery on your AI roadmap.
Do you place engineers in our team?
No. Bigcircle does not do staff augmentation. We deliver the system. A core team hired and trained by the founder scopes it and keeps the critical delivery, and contractors from a pool of about 100 we have vetted and already engaged on client projects join when the build needs more people.
How is this different from prototyping with AI coding tools?
A prototype tells you whether the idea works on the inputs you tried. Production has to know how often it fails on the ones you did not: an eval set, checks in code before an agent acts, cost and latency under real traffic, and someone accountable when it is wrong. That second part is the work we sell.
Who owns the code and the IP?
You do. The work happens in your repositories under your IP and confidentiality terms.