Services

Two ways we ship production AI

Most teams can stand up an AI prototype. Very few ship production-grade systems that hold up under real users, real data, and real load. We build that production layer — either the AI application itself, or the platform that keeps your models reliable, observable, and governable. We focus on exactly two services so we can do both at a senior level.

[ ▸ ] Enterprise spend on generative AI hit $37B in 2025 — 3.2x year over year (Menlo Ventures, State of Generative AI in the Enterprise 2025)

01 / Applied GenAI

AI Agents & GenAI Systems

Applied generative AI that does real work inside your product and operations: LLM features grounded in your own data, autonomous and assisted agents, and the evaluation harness that keeps them trustworthy once they’re live.

Capabilities

LLM integration & GenAI features embedded into your existing product and workflows
RAG over proprietary data — retrieval pipelines grounded in your documents, knowledge bases, and systems of record
Agentic workflow automation — multi-step agents that take action, not just chat
Evals & guardrails to measure quality, catch regressions, and constrain unsafe behavior
Human-in-the-loop orchestration for review, escalation, and safe rollout

Learn more about AI Agents & GenAI

02 / AI Infrastructure

AI Platform & MLOps Engineering

The production layer underneath your models: deployment pipelines, observability, and governance so AI moves from notebook to dependable service — and stays reliable as usage and model count grow.

Capabilities

MLOps & LLMOps platforms — the tooling and pipelines your team operates day to day
Model deployment pipelines with versioning, staged rollout, and rollback
Eval & observability for quality, drift, latency, and cost in production
Data & feature infrastructure to feed models consistently and reproducibly
Inference scaling & model governance for performance, access control, and auditability

Learn more about AI Platform & MLOps

How we work

Senior-led delivery, priced on outcomes

A hybrid model: senior, US-facing engineers own the strategy and the hard parts, backed by leveraged delivery. You pay for the result we ship, not the hours we log.

Senior-led, no handoffs

The engineers who scope your work are the ones who build it. You talk directly to the people shipping the system.

Leveraged delivery

Senior strategy paired with focused delivery capacity, so you get production quality without the cost of a full in-house team.

Priced on outcomes

We scope engagements around the result we’re accountable for, not a timesheet. Clear deliverables, defined before we start.

You own the IP

You own all code and IP. NDA on request. Security-conscious engineering throughout the build.

[ ▸ ] Engagements start at $100K — priced on the outcomes we deliver, not hours.

Not sure which service fits? Bring us the problem and we’ll tell you honestly whether you need the AI application, the platform underneath it, or both.

Have a production AI problem worth solving?

Book a 30-minute call. We'll tell you what it takes to ship it for real — and whether we're the right team to do it.

Schedule Your Free Consultation

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