AI Engineering

AI systems that actually ship.

From agents and RAG pipelines to document AI and custom LLM tools — engineered with evals, traces, and guardrails from day one.

The problem

Most "AI projects" never ship.

Everyone wants AI in their business. Few teams know how to actually build it. The result is the same playbook everywhere:

  • → A flashy demo on a curated dataset — that breaks on the real one.
  • → A consulting deck full of frameworks — and no production code.
  • → A 6-month "pilot" that lives forever in pilot purgatory.
  • → Generic ChatGPT wrappers that don't understand your data, workflow, or domain.

The solution

Senior engineers. Production-grade AI.

We build custom AI systems the same way we'd build any production software — with proper evals, observability, error handling, and a deployment story. The difference: we know the LLM stack cold, and we've shipped real systems against it. Regulatory copilots. Document-AI pipelines. Agentic workflows. Integrated into your actual data, your actual tools.

Capabilities

What we build.

RAG & vector search

Hybrid retrieval over your own corpus — proprietary docs, knowledge bases, regulatory text. With re-rankers, HyDE seeds, and rigorous P@K evaluation.

Agentic workflows

Multi-step agents that read, decide, call tools, and produce structured output. Built on the modern LLM stack, with traces you can debug.

Document AI

OCR + VLM pipelines for parsing real-world documents — PDFs, scans, mixed-layout forms — with selective fallback and entity extraction.

Custom LLM tooling

Internal copilots, customer-facing assistants, batch enrichment pipelines — integrated with your existing systems via APIs and event streams.

Engagement options

Choose your tier.

Early adopter

AI Quick Start

$2,500 $1,800
  • 1-hour discovery call
  • 3 custom AI workflows
  • 1-hour training session
  • Written playbook
  • 2 weeks email support
  • 2-week delivery
Get started
Most popular

AI Accelerator

$3,500 $2,500
+ $1,200/mo + $900/mo retainer
  • Deep workflow audit
  • AI Opportunity Map report
  • 5-7 custom workflows
  • 2-hour training workshop
  • 30-day unlimited support
  • Monthly optimization calls
  • 2 new workflows/month
  • Quarterly ROI analysis
Get started

Transformation Partner

$6,000
+ $2,000/mo retainer
  • Everything in Accelerator
  • Custom-built applications
  • API integrations
  • Cross-system automation
  • Priority 4-hr support
  • Quarterly strategy session
  • New hire AI onboarding
  • Ongoing training
Get started

Process

How we work.

🔍
Step 01

Discover

We dig into your data, your workflow, and the specific shape of the problem.

🛠️
Step 02

Build

We engineer the system — evals, traces, guardrails, the lot.

🚀
Step 03

Ship

Deploy to production. Train your team. Hand over working software.

📈
Step 04

Iterate

Monitor real usage. Refine. Add capabilities as the team gets comfortable.

FAQ

Common questions.

How do you handle our proprietary data?
Your data stays in your infrastructure. We deploy into your cloud accounts (AWS, Cloudflare, Modal) and choose model providers based on your data policies — including private endpoints and enterprise contracts where needed.
What models do you build on?
We pick the right model for the job — Anthropic, OpenAI, open-weight on Modal/vLLM/SGLang. We architect for portability where it matters so you're not locked in.
What does "with evals" actually mean?
Every system ships with a test suite that measures retrieval precision, classification accuracy, and end-to-end quality on your real data. We publish numbers (e.g. P@1, top-1 accuracy), not vibes.
Who owns the code?
You do. Your repo, your cloud accounts, your data. No vendor lock-in. We're engineers, not a SaaS in disguise.

Have a problem worth solving?

Tell us about it. A 30-minute call is enough to see if there's a real fit.

Schedule a call