Ship in six days,
not six months.
Production web apps, mobile apps, and AI agents, built by engineers commanding AI agent fleets. For procurement teams that need a delivery date they can defend.
From idea to production
AI Agents & Automation
Build custom agents that read your documents, run your workflows, and operate inside the tools your team already uses. RAG retrieval, multi-agent orchestration, and the eval rigs that keep them honest enough to ship.
AI-powered SaaS Products
Ship a product where the AI sits in the middle, not at the edges. Multi-tenant architecture, subscription billing, vector search, and the prompt-caching that keeps unit economics sane at real scale.
Custom Web & Mobile Apps
Engineer full-stack web and mobile apps end to end, with AI agents writing, testing, and documenting alongside the team.
Internal Tools & Integrations
Wire dashboards, ETL pipelines, and AI extraction into your existing systems so the team stops doing the same job by hand every week.
Six days from kickoff to launch
Not a sprint forced on a team. The natural cadence of a small team using AI to its fullest. We compress what typical teams spend three months on by committing to risk before we commit to the build.
- 01 DAY 0
Brief & estimate
We size the work before we agree to do it. One call, a written scope, an honest delivery date. If it cannot ship in six days we say so upfront.
- 02 DAYS 1–2
Shape & spike
Architecture, data model, and a clickable prototype. Every dangerous assumption gets spiked in real code, not in Figma. Risk is committed to before the build is.
- 03 DAYS 3–6
Ship MVP
Every flow working end-to-end on production infrastructure. AI-generated tests, WCAG audit, and Lighthouse ≥95 are inside the cycle, not after the ship.
- 04 ONGOING
Polish in production
Real users, real data, real iteration. Monitoring, error budgets, and a changelog that writes itself as we ship. Handoff is a Loom walkthrough plus auto-generated docs.
Six days, because the AI is on the build, not bolted to it
Every engineer on the team commands a fleet of agents that read the codebase, write the tests, refactor the modules, and document the result alongside us. The ratio that matters is not engineers per feature, it is supervised-agent-hours per feature, and that ratio is what compresses the cycle without trading quality.
- RAG retrieval over the client codebase
- Multi-agent orchestration via Claude SDK
- Structured-output schemas
- Prompt caching, context pinning
- AI-driven eval rigs before ship
- Auto-generated test cases
- Docs generated alongside code
Real work, shipped recently
View all →RAG-grounded product Q&A on 1.2M SKUs
Conversion +42%, support tickets cut 28%, ground-truth answers across 12 product verticals.
Top-5 Thai retailer (NDA)
Multi-agent compliance review
Eight-week manual cycle automated to a six-day supervised-agent loop.
Regional bank
Rails monolith to Cloudflare Workers
Three months end to end, zero-downtime cutover, p99 latency cut 4x at the edge.
B2B SaaS, Asia
Six commits that make six days work
Each one is a clause we sign before kickoff. None is aspirational.
- 01
Interview the user, ignore the org chart
We sit with the people who open the app at 9am. Stakeholders see the build after we know what's broken for users.
- 02
Run agents like junior engineers
Each engineer drives 3 to 5 agents that write, review, refactor, and test in parallel. A human approves every merge.
- 03
Cut the MVP on Day 6, polish against Week 2 analytics
Day 6 hits production with real auth, real data, real users. The next 14 days polish against what they actually click.
- 04
Price the scope before we sign it
You get a 1-page estimate with day count, agent count, and what we will not build. Change requests get re-priced, never absorbed.
- 05
Generate the tests, gate the deploy
Agents write unit, integration, and E2E suites the same day we write the feature. CI blocks merge below 80 percent coverage.
- 06
Write the docs in the same commit
Every PR ships with README, API reference, and runbook updates. Reviewers reject PRs where docs lag the code.
Got something to ship?
We reply within one working day, anywhere in APAC, with a rough scope and timeline.