1 week
Outcome → Go / no-go decision
Discovery
Use-case validation, system architecture, eval strategy, and a clear build estimate. The cheapest way to find out if your idea ships.
Get a quoteHow we engage · 04 ways
Four ways to
ship an AI product.
Productized engagements with explicit scope and timelines. Pick the one that matches where you are. Every quote returns within 24 hours.
How we engage · 04 ways
Four ways to ship
an AI product.
Productized engagements with explicit scope and timelines. Pricing on request — every quote returns within 24 hours.
2–3 weeks
Outcome → Working prototype
Spark
A working AI prototype delivered to your stakeholders — with eval harness, architecture diagram, and a go-to-production roadmap.
Get a quote8–12 weeks
Outcome → Production product shipped
Build
Custom AI product — application, agent, copilot, or internal tool — fully integrated, with eval suite, observability, and guardrails. Launched to real users.
Get a quoteMonthly retainer
Outcome → AI engineering on tap
Embed
We become your AI team. Eval & incident monitoring, continuous capability shipping, quarterly architecture reviews.
Get a quoteCompare engagements
Side by side.
Each engagement is a clear contract. Same disciplines applied; different scope and depth.
Attribute
01 / 04
Discovery
02 / 04
Spark
03 / 04
Build
04 / 04
Embed
Timeline
1 week
2–3 weeks
8–12 weeks
Ongoing
Outcome
Go / no-go
Working prototype
Shipped product
AI team on tap
Eval suite
Strategy only
Initial harness
Full coverage
Continuous
Observability
—
Light
Production
Production + alerting
Guardrails
Designed
Initial
Production
Iterating
Stakeholder demos
1 readout
1 working demo
Weekly
Bi-weekly
Best for
Validating an idea
De-risking a build
Shipping the real thing
Scaling what works
Always included · 06
What every engagement
ships with.
Whichever tier you pick, these are the disciplines we hold ourselves to. Not optional. Not extra cost.
01
Architecture documentation
Diagrams, decision logs, and a runbook your team can operate without us.
02
Eval scorecards
Frozen test sets, scoring rubrics, and pass/fail thresholds — handed over with the code.
03
Guardrail design
Input validation, output checks, escape hatches, and human handoff paths.
04
Security review
Auth, secrets, data classification, RBAC, and audit logs by default — not as add-ons.
05
Honest weekly writeups
What shipped, what didn't, what we learned, what's next. No corporate fluff.
06
Post-launch handoff
Code, infra, dashboards, and the full operating mental model — transferred to your team.
Principles · 04
How we build,
ship, and operate.
Four engineering disciplines we apply to every product we ship — independent of model, framework, or industry.
01 /04
Evals before launch.
Every AI product ships with a graded eval suite — unit tests on key behaviors, LLM-as-judge regression scoring, and human review samples. If it can't pass eval, it doesn't ship.
02 /04
Telemetry from day one.
Traces, latency budgets, token costs, error rates — wired up before the first user touches the product. You can't fix what you can't see.
03 /04
Guardrails as architecture.
Input validation, output verification, escape hatches, and human handoff paths designed in — not bolted on after the first incident.
04 /04
Boring stack on the edges.
Cutting-edge model in the middle. Reliable, well-understood infrastructure around it. Novelty where it earns its place; stability everywhere else.
Start a project
Have an AI product
that needs to ship?
Tell us where you are — early concept, broken prototype, or scaling something that already works. We'll come back within 24 hours with a take and a quote.