Est. 2018
Service · AI Integration
AI ThatActually Ships.
Real AI integrations into real products — not demos. Measurable outcomes, production-ready architecture, zero hype.
If you've been told AI will fix it.
Most teams come to me after a failed pilot or a demo that looked magic in the room and broke in production.
We built an AI prototype but can't get it reliable enough to ship.
Our team is spending hours doing work an LLM could handle.
I don't know where AI actually fits in our product.
We need agents but nobody on our team has built one at scale.
AI, delivered like software.
LLM + RAG Integration
Chat interfaces, document Q&A, intelligent search — grounded in your data, with citations, guardrails, and evaluation pipelines.
Workflow Automation
Pipelines that replace repetitive human work: ticket triage, content operations, report generation. Reliable enough to trust in production.
Agents + Tool Use
Purpose-built agents that take action — not just generate text. With proper scoping, logging, and human-in-the-loop checkpoints.
Prompt + Eval Infra
Versioned prompts, automated evals, regression tests. So your AI feature doesn't silently degrade as models update.
From 'AI idea' to shipped feature.
Scope
Most AI projects fail because they're scoped like magic. I scope them like software: one task, one success metric, one user.
- —Task definition
- —Success metrics
- —Risk + guardrail design
- —Model selection
Prototype
A thin vertical slice that proves or disproves the hypothesis. No UI polish — just: does this work?
- —Initial prompt engineering
- —Grounding strategy (RAG, fine-tune, etc.)
- —Minimal UI
- —First eval set
Harden
This is where most projects fail. I build the eval pipeline, the guardrails, and the observability before the feature ships.
- —Automated evals
- —Safety + guardrails
- —Cost + latency monitoring
- —Human-in-the-loop design
Ship + Iterate
Deploy to production, watch the metrics, iterate on prompts and retrieval weekly.
- —Production deploy
- —Analytics + logging
- —Weekly prompt iterations
- —Quarterly model review
AI in production, not slides.
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Ship AI your
users actually use.
Book a call and we'll scope your AI feature properly — with a plan to ship it, not a slide to admire it.