Four things we do well.
AI and ML, data platforms, full-stack, mobile. Same senior team, same production standard, whichever one you pick.
Book a 30-min callThree reasons clients stay.
No juniors on your repo
The engineer writing your code has done this for at least five years. We don’t farm out, we don’t staff up to win a bid, we don’t sub-contract at 2am.
Production from week one
Monitoring, tests, access controls, cost dashboards — in the repo before the first feature lands. We hate the phrase “we’ll add that later”.
Boring, predictable delivery
Weekly demo, written update every Friday, one Slack channel you can ping. If we’re going to miss a date you hear it early — the deck doesn’t change the day before review.
Four ways to work with us.
All four end whenever you
say.
Milestone-based, monthly, or by the diagnostic. We don't do quarter-long retainers nobody can exit, and we don't ask for an annual prepay. If we are not earning the next milestone, you should not pay for it.
Fixed-scope MVP
A milestone-based statement of work tied to concrete deliverables. You know exactly what each payment buys; you can stop after any milestone.
- Discovery doc + architecture call
- Weekly demo, written Friday update
- Exit any milestone with the code, the runbook and the keys
Embedded senior engineer(s)
One to four of our engineers sit inside your team — your standups, your PRs, your roadmap. Month-to-month; exit any month, no prepay.
- Your tools, your repo, your release cadence
- Pair-programming with your in-house team
- Knowledge transfer is the deliverable, not a side effect
Advisory retainer
A small monthly retainer for architecture spot-checks, code review, hiring help and escalation calls. We are the senior voice on the call when one is needed.
- Quarterly architecture review
- Async PR review on the high-stakes branches
- Escalation Slack — replies within a working day
Legacy rescue
A one-week diagnostic first, with a written report and a refactor plan. Then milestone-based execution. We refactor in place; we do not ask for a feature freeze.
- Honest readiness assessment by Friday of week one
- Strangler-fig refactor with no feature freeze
- Test coverage and observability backfilled in the same PRs
AI & Machine Learning Engineering
Most AI projects we inherit died the same way — a great demo, a vague eval, no rollback. We don't ship anything we can't measure, can't roll back, and can't explain to your support lead at 11pm on a Sunday. The model is the easy part; the seatbelt is the work.
For the deep tech list — vLLM / SGLang serving, GraphRAG grounding, MCP agents, Ragas evals, Llama Guard 4 — see the AI & ML page. Here, what you actually get:
Example Hallucination-detection pipeline — 92.4% F1 across 30K+ content pieces a day. view case study
- Hallucinations caged with grounded retrieval and a verifier on every claim
- A held-out eval set running on every prompt change, not just on launch day
- Cost-per-call visible on a dashboard the day after launch, not the next billing cycle
- Guardrails on input and output before a single user sees the model
- A rehearsed failure mode for the day the provider goes sideways
Data Science & Data Engineering
Half the data work we walk into is a graveyard of dashboards nobody trusts and pipelines nobody owns. We start by writing down what each KPI actually means and who breaks if it lies — then we build backwards from the number on the board deck to the row that produced it.
For the stack — Iceberg lakehouse, Dagster / Prefect, dbt or SQLMesh, Chronos / TimesFM forecasting, OpenLineage — see the Data page. Here, what you actually get:
Example IoT predictive maintenance — 12,000+ sensors, 72-hour failure warning, $8.6M/yr saved. view case study
- Every dashboard number traceable to its source row within a week
- Freshness, volume and column-level contracts that page the team before finance does
- A foundation-model forecasting baseline before anyone trains a bespoke one
- A reconciliation query against the source of truth that finance signs off on
- A dual-run cutover with a rollback that has actually been tested
Full-Stack Web Development
If a deploy is tense, we've already done something wrong. We refuse to ship a feature without the test, the trace, the flag and the rollback in the same PR — because the version of this work without those four is exactly what got the previous team fired.
For the stack — Next.js 15 / React 19, tRPC / Hono, Postgres on Neon, Stripe Connect, Pulumi / SST IaC — see the Web page. Here, what you actually get:
Example SaaS marketplace on Stripe Connect — zero to $4.2M GMV in six months, 200+ vendors live. view case study
- A rename in the backend breaks the build, not a live page
- Every release behind a flag, rolled back with one toggle and no redeploy
- p99, error budget and cost-per-route on a dashboard the on-call already reads
- Strangler-fig refactors that ship features the same week they refactor
- An exit doc your team can read on Monday and run the system by Tuesday
Mobile App Development — iOS & Android
Mobile is not a smaller web. It's one-handed, often offline, and reviewed by a stranger at Apple before anyone else uses it. We build for the subway tunnel and the two-year-old mid-tier Android, not the M-series simulator on the office desk.
For the stack — React Native (New Architecture), Compose Multiplatform, Apple Intelligence, Gemini Nano, BLE GATT, Yjs / Automerge — see the Mobile page. Here, what you actually get:
Example BLE contactless payment SDKs — 99.8% success across 850+ terminals in three countries, PCI DSS Level 1 + EMV / PCI P2PE. view case study
- Cold start under two seconds on a mid-tier device, not the flagship in the drawer
- Offline-first state that survives a tunnel and syncs without a manual conflict screen
- 60 fps scroll on a list of a thousand rows, profiled per PR
- On-device AI where the latency, privacy and cost actually warrant it
- Staged TestFlight / Play rollout with crash-free rate gating each ramp
- Apple and Google review submissions written for the reviewer, not the marketer
Five things we will push you on.
Even if you didn't ask.
Two are about technology choices most teams get wrong, three are delivery practices we insist on regardless of which service you bought. If we are right about these, you save a year and a few million dollars. If we are wrong, the worst case is a slightly-better-defended architecture. The bet is asymmetric.
On-device AI is the most undervalued shift of 2026.
Apple Foundation Models and Gemini Nano via AICore are free latency, free privacy, free cost — and most apps still haven't moved a single inference off the API. The first team in your category that does will quietly out-pace the rest on retention and unit economics.
An AI gateway belongs between you and any provider.
Portkey, LiteLLM, Cloudflare AI Gateway, Bedrock Gateway. Provider lock-in is a 2024 mistake nobody has to make again, and the gateway pays for itself the first time GPT-class pricing moves or a model is deprecated mid-quarter.
Every release goes out behind a flag. Every time.
LaunchDarkly, Statsig or OpenFeature on every release. Rollback becomes one toggle, not a redeploy at 2am, and a bad ramp dies in the 5% cohort instead of on Twitter. The flag is always cheaper than the postmortem — and we will not ship without one.
Durable workflows belong on every retry path. Custom queues do not.
Inngest, Trigger.dev, Hatchet and DBOS exist precisely so the next engineer doesn't inherit your bespoke job system. Webhooks, ETL, agent runs, scheduled jobs — all of them belong here. The custom version is six months of maintenance and a ticket nobody owns.
If an alert exists, a runbook exists. In the repo.
Every PagerDuty or Opsgenie page links to a markdown file in the same repo as the code. The on-call reads a runbook at 3am, not Stack Overflow — and the difference between a four-minute incident and a forty-minute one is exactly the runbook you didn't write yet.
What the first ninety days
actually look like.
Whichever service you bought and whichever engagement you picked, the first ninety days have the same shape. Demos every Friday, written update before the weekend, and one decision-doc at the end of each window.
Make it legible
- Discovery doc, architecture call, written non-functional requirements
- OpenTelemetry + Sentry / Datadog scaffolding live in staging
- First vertical slice on staging by week three, demoed end of week four
- Weekly demo cadence locked in; one Slack channel; Friday written update
Production shape behind a flag
- The real feature behind a flag, shadowed against existing traffic
- Eval / test / contract harness running on every PR
- Security review pass — STRIDE doc, secrets audit, dependency review
- Performance budget locked: cold start, p99, error budget, cost per route
Launch, rehearse, hand over
- Staged rollout — 5% / 25% / 100% with crash-free or eval-floor gating
- First SEV-1 rehearsed on a Friday before a real one happens
- Postmortem template + runbook index committed to the repo
- Exit doc draft; retainer-or-handover decision made together
Boring on purpose.
Auditable on day one.
Eight commitments we ship by default and one we will not pretend to. We do not run pen-tests; we hand off cleanly to your auditor, then remediate the findings.
SOC 2 Type II friendly
Audit-ready logs, RBAC, change tracking and access reviews from week one. Documented for your Vanta / Drata workflow, not retrofitted before audit week.
HIPAA on healthcare engagements
BAA in place, encryption at rest and in transit, immutable audit trail, PHI tagged and masked. Shipped on the medical-claims and mental-health builds.
PCI DSS Level 1 + EMV / P2PE
Real, not aspirational. The BLE contactless payment platform is in production at PCI DSS Level 1 across 850+ terminals in three countries.
GDPR + CCPA, end-to-end
DSAR-ready data flows, regional storage where required, deletion that actually deletes — not soft-flagged-and-hidden. DPIA documents your privacy team can hand to a regulator.
PII classified, tokenised, masked
PII tagged before it moves, tokenised or masked on the way in, surfaced only to the roles that need it. Vector stores and prompts get the same treatment as warehouses.
Threat model on every money path
STRIDE on every system handling money or PHI, plus an OWASP ASVS pass before launch. The threat model lives in the repo and gets updated with each major feature.
SBOM + signed builds
CycloneDX SBOM via Syft on every build, Sigstore / Cosign signing, Renovate / Dependabot auto-PRs. Supply-chain risk is not somebody else's problem.
Clean handoff to your auditor
We do not run pen-tests; we hand a clean target to your auditor, then remediate the findings inside one sprint. The honest version is more useful than the marketed one.