Build

Senior engineers who ship agentic systems.

Production in weeks. Not promises in quarters.

Scoped build or ongoing engineering partner — we design, build, and harden AI systems inside your real environment: your data, your permissions, your compliance constraints. Working software early, production-grade always.

What we build

From document piles to working agents.

Internal AI systems

Tools that change how your team works.

  • Document classification & extraction at scale
  • Conversational access to operational data (MCP)
  • Workflow automation agents
  • Reporting & analysis copilots

Product AI features

Agentic capability inside your software.

  • RAG & retrieval systems
  • Conversational interfaces
  • Generative features with guardrails
  • Usage-based cost architecture

Data & agent infrastructure

The plumbing that makes it dependable.

  • Pipelines & ingestion (documents, ERP, field data)
  • MCP servers over enterprise systems
  • Evaluation harnesses & regression suites
  • Observability, logging, and audit trails

Engagement models

Two ways to work with us.

Fixed deliverable

Scoped Build

Best for

  • A specific system or feature
  • Document intelligence & automation builds
  • A first AI project with contained risk

Ongoing retainer

Embedded Partner

Best for

  • Sustained AI roadmap execution
  • Product teams adding AI capability
  • Operators compounding workflow automation

Fixed quotes on the intro call — no discovery-phase toll booth.

How we're different

Why our builds make it to production.

01

AI-native

We build with agents, not just for them — our own delivery pipeline is an agentic system.

02

Engineers multiplied by agents

Small senior teams that move like big ones, because agents do the repetitive work.

03

Operating context built in

Every line of code carries the operational context from the survey — we design for your real environment.

Let's build the thing.

Bring the workflow that's eating your team. We'll tell you in 30 minutes whether it's automatable — and what it would take.