02 Build

Ship production AI in weeks.

Senior engineers, fixed scope, weekly demos. We build custom AI features, voice agents, RAG pipelines, and internal tools to production grade — security, monitoring, and handoff documentation included. If we miss a milestone, that's our problem.

4–12weeks
Typical timeline
$25K+
Starting investment
Weekly
Working demos
100%
Fixed scope & price
— What you get

Working software in your environment. Not a slide deck.

Every Build engagement ships the same set of artifacts to production. No half-working demos. No "we'll wire up monitoring later." Production-grade means production-grade — running on day one of handoff.

Production AI feature(s)

Running in your infrastructure or ours. Tested, instrumented, and reviewed by a senior engineer outside the build team.

Day-one operational

All source code + IP

You own everything. Codebases live in your git, models live in your accounts, no vendor lock-in. We're builders, not landlords.

Yours forever

Weekly demos in your Slack

Every Friday. Working software, not status updates. You see progress in real time and steer before it's too late to steer.

Slack-first cadence

Monitoring + alerting

LLM call tracing, error rates, latency, cost dashboards, on-call alerts. Wired up before handoff — not as a "phase 2."

Datadog · Langfuse · Sentry

Security review

Prompt injection testing, PII handling audit, role-based access, secrets management, rate limiting. Documented threat model.

Threat model + remediation

Handoff documentation

Architecture diagrams, runbook for every failure mode, prompt library with rationale, evals you can keep running. Your team owns this on day one.

Runbook + evals
— How it works

A 6-week rhythm. Demos every Friday.

Most Build engagements run 4–12 weeks. Here's the rhythm of a typical 6-week sprint — the cadence holds whether you're building one feature or three.

Week 01 — Foundation
Architecture lock + technical spike

We finalize the architecture, scaffold the repo, set up CI/CD, and de-risk the highest-uncertainty component first. By Friday demo, you see the riskiest part already working.

Repo + CI Architecture lock Risk spike Friday demo
Weeks 02–03 — Core build
Feature implementation, end-to-end

The main feature gets built and wired through every layer — UI, API, model layer, data layer, integrations. By Friday of week 3, you have something a real user can actually use.

UI + API Model integration RAG pipeline Integration tests
Weeks 04–05 — Polish + harden
Eval suite, edge cases, security review

We build the eval suite (golden examples, regression tests, cost tracking), grind through edge cases, and run a security review. UX gets sharpened. Performance gets tuned. Real-world data gets thrown at it.

Eval suite Edge cases Security audit Performance tuning
Week 06 — Production handoff
Deployment, monitoring, runbook, training

Production deployment, monitoring + alerting wired up, runbook written, two training sessions with your team. Final demo. Code transfer. By Friday, your team is operating it without us.

Production deploy Monitoring Runbook Training Code transfer
— What we build with

Modern stack. No hammer in search of a nail.

We pick stack based on what ships best for your use case. Here's our default toolkit — but every choice is a real decision, not a habit.

Models
Claude (default for reasoning)
GPT-4 / GPT-4o
Gemini (long context)
Open-source (when self-hosting wins)
Voice
Vapi
Retell
Bland
Deepgram (STT)
Retrieval
Pinecone
pgvector
Turbopuffer
Weaviate
Frontend
Next.js 15
React 19
v0 (prototyping)
shadcn/ui
Backend
TypeScript / Node
Python / FastAPI
Go (perf-critical)
Postgres + Redis
Infra
Vercel
AWS / GCP
Cloudflare Workers
Modal (GPU)
Observability
Langfuse
Datadog
Sentry
Braintrust (evals)
Dev tooling
Cursor
Claude Code
Linear
GitHub Actions
— What it costs

Fixed price. Fixed scope. No hourly billing.

Every Build engagement is priced before kickoff. You know exactly what you're paying — no scope creep, no rate sheet surprises. Three engagement sizes; pick the one that matches the work.

Sprint
from$25K

4–6 weeks · single feature · one workflow. Best for shipping a focused AI feature into existing software.

Programme
from$175K

12+ weeks · multi-team · staged rollout. Best for replacing a core system or building a platform internal teams will use.

Milestone-based billing — pay as we ship
Miss a milestone, we eat the difference
You own all source code + IP
— Recent Build engagements

Real shipped AI. Real results.

Three recent Builds across three industries — same playbook every time.

Legal · 24-attorney firm

AI contract review trained on 10 years of precedent.

Custom RAG over historical contracts + redlines. Surfaces risk clauses with citations, drafts negotiation suggestions, exports back to Word.

75%
Review time cut
6 weeks
From kickoff to prod
Insurance · Commercial broker

AI quote engine: risk analysis to bound quote.

Automated submission ingestion, risk scoring, carrier matching, and quote drafting. Underwriters review and approve — they don't draft from scratch anymore.

Faster turnaround
16 weeks
Build duration
Industrial Distribution · 200+ suppliers

Zero-touch order pipeline across 200+ supplier portals.

Django platform with five integrated systems: real-time order management, supplier scrapers with vendor-specific parsers, instant failure detection with auto-rerouting to alternates, milestone customer notifications, and automated payment reconciliation. Failed orders self-heal before customers ever see them.

2.5×
Throughput unlocked
16 weeks
Build duration
Read the full case →
— Common questions

Things people actually ask.

What does "production-grade" actually include?
Eval suite (golden examples + regression tests), monitoring (LLM tracing, error rates, latency, cost), alerting on the things that should never silently break, security review (prompt injection, PII, access control, rate limiting), runbook for every failure mode, and full handoff docs your team can operate from. We don't ship something that "works on Tuesday" and call it done.
What if requirements change mid-build?
Small changes within scope are absorbed without re-pricing — we plan for normal evolution. Bigger changes get a written change order that adjusts scope, timeline, or both. We'd rather pause for a 30-min conversation than ship the wrong thing on schedule.
Who owns the code, models, and data?
You do. Code lives in your git from week one. Model API keys live in your accounts. We don't take exports. We don't keep "our copy" of anything. When the engagement ends, you don't lose anything by us walking away.
Can you work alongside our existing engineering team?
Yes — about half our Build engagements run that way. Your engineers get pulled into design reviews, code reviews, and the eval suite. By handoff, they're not learning the system from a doc — they helped build it.
What if AI isn't actually the right answer?
We'll tell you. If the cleaner solution is deterministic code, a 30-line workflow automation, or a cheaper SaaS that already exists, we say so. We've turned away Build engagements that should have been a 2-day script. Long-term reputation beats short-term revenue.
Do we need to do Discover first?
No. If you already know what you want to build, we'll scope it and start. Discover is for choosing between options — not a prerequisite.

Ready to ship in weeks?

Book a 30-min call. We'll talk about what you want to build, scope it, give you a fixed price, and start the week after if it's a fit.

No pitch deck. No sales pressure. Just a real conversation.