// AI Implementation Lab

Most teams demo AI.
We make it actually ship. scale. pay off. hold up. earn its keep.

axpri is the lab that takes agentic AI from a whiteboard idea to a system running in production — designed, built, evaluated, and handed to your team.

The agentic stack we build on

ClaudeOpenAILangGraphMCPNext.jsVercel AI SDKpgvectorTemporalPydanticTurborepo
The honest version

90% of AI pilots never leave the demo. The gap isn't the model — it's the engineering around it.

Evals, guardrails, observability, retries, human-in-the-loop, real data, real latency. The unglamorous parts. That's the part axpri exists to build.

Built for production

We measure ourselves on what ships, not what gets pitched.

wks
median time from kickoff to first agent in production
%
of builds ship with evals & observability baked in
×
faster iteration using parallel agent workflows
throwaway prototypes — everything is production-bound
What we do

Agentic systems, full stack — not a wrapper around a prompt.

Every engagement is a real software project: architecture, tooling, memory, evaluation, and guardrails, owned end to end.

01 / Architecture

We design the system, not just the prompt

Agent topology, tool boundaries, state and memory, fallbacks, and the cost/latency budget — decided before a line of glue code gets written.

  • Tool & MCP integration design
  • Memory and retrieval architecture
  • Cost, latency & reliability budgets
agent.plan()route → retrieve → act → verify
eval: passed 47 / 47 cases green
02 / Governance

Governed by default — from the first commit

Guardrails, PII handling, audit trails, and a regression eval suite ship with the build. Nothing reaches users without a safety net behind it.

  • Evaluation suites & regression gates
  • Guardrails, redaction & access control
  • Full decision tracing & observability
guardrail.checkblocked: 0 · flagged: 2
trace_id 8f2a…12 spans · 840ms · $0.004
03 / Handoff

Built to hand off — your team owns it

Clean, documented code in your repo and your cloud. We're a lab, not a lock-in. When we leave, your engineers can extend everything we shipped.

  • Production code in your stack
  • Runbooks, docs & architecture decision records
  • Pairing & enablement for your team
git push origin mainhanded off · 0 vendor locks
docs/ARCHITECTURE · RUNBOOK · EVALS
Two ways in

Meet you where the work is.

Sprint

Scoped build, fixed fee

A defined problem, a defined deliverable. We scope it, build it, ship it to production, and hand it over — typically in four to eight weeks.

Best for a first agent4–8 weeks
Embedded

We join your team

For teams going deeper into the agentic economy. We embed alongside your engineers, set the patterns, and raise the whole team's ceiling.

Best for ongoing buildMonthly
From the teams we build with

What it's like to ship with axpri.

"

They didn't hand us a slide deck — they handed us a running system and the tests to prove it worked.

VP Engineering
Series B fintech
"

The eval suite alone changed how we think about shipping AI. We finally trust what goes live.

Head of Product
Logistics platform
"

Four weeks from kickoff to an agent handling real customers. Then they taught our team to own it.

CTO
D2C marketplace
Let's build

Have an AI idea stuck in the demo phase?

Tell us what you're trying to ship. We'll tell you, honestly, whether it's ready for production — and what it takes to get there.

Field notes

All insights
Playbook

Why your AI pilot died — and the seven things that keep ours alive

Read
Engineering

Evals as a first-class citizen: how we gate every agent release

Read
Perspective

The agentic economy is an engineering problem before it's a model problem

Read