AI-native operating software your business actually owns.

Our model is built for that exact anxiety. Discovery is fixed-scope and you exit with an architecture doc whether or not we continue. Build phases are milestone-gated — two-to-four weeks each, working software at every milestone, stop whenever. You're never six months into a vendor lock with a half-built thing.

Three things. Senior-only — every engineer on your project has shipped this kind of work before. Outcome-owned, not hourly — fixed scope per phase, not invoice-by-the-hour. And we ship the thing — production deploy, monitoring, handoff — we don't just write code and email you a zip. If those three don't matter for your project, staff-aug is cheaper and that's fine.

Two reasons people do it. One: unblock work your team can't get to this quarter — internal tools, AI integrations, the things the product roadmap never makes room for. Two: plug a gap while you hire — we hand off cleanly when your team has capacity. We don't compete with your engineers; we work next to them.

The integrations and tools we ship keep working regardless of which model wins. Every AI step is instrumented so you can swap providers without rewriting the system. The deliverable isn't "we used Claude" — it's "we built a classifier that processes your tickets, with eval coverage and observability, that you can route through any frontier or open-source model without changing the consumer code."

Discovery phase. Fixed scope, two weeks, fixed price. You see how we work — the questions we ask, the architecture we propose, the team we put on it. You exit with an architecture doc and a build plan that any team could execute against. If we're not the right fit you walk with a usable document and no further commitment.

When the workflow is simple, the volume is low, and the integration depth is shallow — no-code is genuinely the right choice and we'll tell you. We build the 20% no-code can't reach: AI-heavy workflows, high-volume processing, custom business logic, multi-tenant SaaS, deep integrations with private APIs. If your problem fits no-code, save the budget.

Yes, if you want it to. The dhaba build is a complete POS plus kitchen display, billing, owner dashboard, cash shifts, and inventory — replacing the incumbent end-to-end. For overseas operators where the incumbent POS is genuinely working, we can also build the AI layer (ordering, reservations, review automation, dynamic pricing) on top of what you already have. We'll tell you which approach fits inside the first 15 minutes.

Two patterns. One: direct integration where the aggregator publishes a usable API — orders flow into your POS and back, no tablet-juggling. Two: AI-driven menu pricing layered above the aggregators so peak-time price lifts happen automatically. We don't pretend to remove the aggregator tax (that's a business decision), but we make sure their orders run through your system, not a separate iPad.

Yes. The concierge handles inbound from WhatsApp, voice, and direct web — the channels OpenTable / Resy don't cover — and writes confirmed reservations back into your existing system so the host stand stays the single source of truth. You keep your incumbent for outbound discovery; we cover the inbound the incumbent can't see.