Services
Three ways to put senior engineers on your problem.
The people, the standards, and the weekly rhythm are the same in every engagement. What changes is how much of the problem you hand over — a whole product, one hard capability, or a team that joins yours.
Build
Custom software
Most teams do not need more prototypes. They need software that holds up under real users, real data, and real money. We build the whole thing — product surface, API, data model, deployment — and we hand it over with tests, docs, and a runbook so your team can take it from there.
- Web
- Mobile
- SaaS
- APIs
What you get
- A working product in staging within the first month, not a slide deck
- TypeScript codebase on Next.js, React Native, or Node — yours, in your repo
- Schema design, migrations, and seed data on Postgres
- CI/CD pipeline, staging and production environments, and rollback you can trigger
- Test suite covering the paths that lose money when they break
- Handover docs, architecture notes, and two weeks of paired support after launch
Apply
Applied AI
AI features are easy to demo and hard to trust. We treat them like any other system: define what correct looks like, measure it, then ship behind guardrails. That means retrieval you can inspect, prompts under version control, and an eval suite that fails the build when quality drops.
- LLM apps
- RAG
- Agents
- Data
What you get
- Retrieval pipeline with chunking, embeddings, and a vector store you can query directly
- Eval suite with golden datasets, regression scoring, and results in CI
- Guardrails: input validation, output schemas, refusal handling, and cost ceilings
- Tracing and logging for every model call, so failures are debuggable
- Model and provider abstraction, so switching costs you a config change
- A written accuracy baseline and the honest list of what the system cannot do
Embed
Dedicated teams
You keep the roadmap. We supply the engineers who execute it. They join your rituals, use your tooling, and ship into your repo under your review standards — so the work looks like your team wrote it, because effectively they did.
- Staff aug
- Squads
- Long-term
What you get
- Engineers with 6+ years of shipped production work, interviewed by you before they start
- Four hours of daily overlap with your working day, every day
- Presence in your Slack, your Jira, your standups, and your Friday demos
- Pull requests into your repo, reviewed against your standards
- A named engineering lead who owns delivery and reports weekly
- 30 days' notice to scale up or down — no year-long lock-in
Not sure which one
Describe the problem. We'll tell you which of these it is.
Most conversations start with a half-formed idea and a deadline. That is enough to work with. Send it over and we'll come back with the shape of the engagement, honestly scoped.