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StatistiqAI
Service · Build & Engineering

Design and ship the systems. Production-grade.

We build the AI systems that survive contact with your data, your regulators, and your P&L — in your cloud, in your codebase, alongside your team. Every Build engagement is sponsored, scoped, designed, and shipped by senior practitioners with prior production credit. We work in modern stacks and we leave behind code, tests, evaluations, runbooks — not handoff debt.

When clients reach us

Five common moments.

  • 01A previous AI pilot got built but never shipped.
  • 02The internal data science team has the math but not the engineering bandwidth.
  • 03An AI startup or scaleup has product-market fit and needs to ship faster than its hiring pipeline allows.
  • 04A regulatory or governance bar — model risk management, AI Act, FDA “context of use” — needs to be cleared in the build itself.
  • 05A GenAI or agentic system needs to leave the sandbox and become a real product.
What we offer

5 build tracks.

Each can stand alone or compose into a larger system. Senior practitioners staff every engagement end-to-end — the architect is the engineer is the operator.

BUILD.0110–16 wk

Data Foundation & Feature Platform

The substrate before any model is trained. Pipelines, feature stores, governance, lineage, evaluation harness. We build what the next 24 months of AI work will stand on.

DELIVERS · Production data + feature platform

BUILD.028–14 wk

ML System Build

End-to-end ML system per use case — from training pipeline to deployment to monitoring. We deliver the model, the serving infrastructure, the evaluation suite, and the runbook the team will operate it with.

DELIVERS · One production ML system

BUILD.0310–16 wk

GenAI & RAG System Build

Retrieval-augmented generation, prompt orchestration, and evaluation infrastructure for a specific workflow. Carrier-grade evals. Human-in-the-loop scaffolding. Cost discipline from day one.

DELIVERS · Production GenAI/RAG system

BUILD.0412–20 wk

Agentic Systems & Multi-Agent Orchestration

Agents that execute, not just predict. Tool-use, deterministic policy layers, escalation paths, audit trails. We build agentic systems that survive an audit committee, not autonomous fragility.

DELIVERS · Governed multi-agent system

BUILD.05custom

AI Product Engineering

Embedded build alongside your product team for AI startups and scaleups. We ship features, not consult on them. Senior engineers shipping to your repo, your customers, your SLA.

DELIVERS · Product features in production

How we build

Three pillars.

— PILLAR 01

In your cloud, in your codebase.

We work where you work. We don't deliver into a black-box sandbox. Your DevOps, security, and compliance teams see the work as it's built.

— PILLAR 02

Production is part of scope.

We commit to deploying to production as part of the engagement — not as a separate Phase 2. The system is real, monitored, and owned at handover.

— PILLAR 03

Senior practitioners only.

Two-to-five-person teams. No offshore handoff. No junior pyramid. Weekly demos. Two-week sprint cadence. Written engagement charter that defines done.

What we won’t do

Anti-patterns we name out loud.

  • We will not deliver a Jupyter notebook and call it a model.
  • We will not deliver a Figma mock of a dashboard and call it a system.
  • We will not staff a project with one senior and three juniors and call it senior-led.
  • Every Build engagement ships to production or we don't take it.

Have a build problem you need shipped?

Most first conversations are 30 minutes with a senior partner. We don't run sales development outreach — if you talk to us, you're talking to a practitioner.