Services.
AI consulting built by operators who ship. We run a live AI analytics product on Shopify - Sentinel - and we'll build yours the same way. No 40-page strategy decks. No innovation theatre. The work, scoped honestly, priced openly.
Core practices.
Eight services that cover the spine of an AI engagement - from first-principles strategy through production deployment.
AI Development
End-to-end product development with AI at the core. Custom agents, RAG systems, workflow tools - built to ship in weeks, not quarters.
Read more →AI Consulting Services
Operator-led advisory for teams past the PoC stage. Use-case triage, roadmap, build-vs-buy. Direct access to founders, no junior layer.
Read more →Machine Learning Consulting
Custom ML systems that earn their keep. Model selection, training pipelines, MLOps, monitoring. From notebook to production.
Read more →AI Strategy & Roadmap
A two-week engagement that produces a prioritized use-case list, cost/ROI model, and build-vs-buy decisions you can defend in a board meeting.
Read more →AI Integration Services
GenAI into your existing stack - CRM, support, ops, marketing. Production-grade integration with evals, monitoring, and a runbook your team owns.
Read more →Generative AI Consulting
From prompt rig to production. We build the eval harness first, the prompts second, and the dashboard before either is interesting.
Read more →AI Automation Services
Autonomous workflows that replace meetings, spreadsheets, and the manual reconciliation the team hates. Audited and instrumented from day one.
Read more →AI Solutions Provider
Full-stack engagement: strategy, build, deploy, run. For teams that want one accountable partner end-to-end, not a handoff at every phase boundary.
Read more →By LLM provider.
Same methodology, lensed through the model your team is already standardized on.
OpenAI Consulting
GPT-4 and o-series implementations. Function calling, structured outputs, Assistants API. Where OpenAI wins, where it doesn't.
Read more →Anthropic Consulting
Enterprise Claude deployments. Computer use, MCP, agent SDK, Bedrock. Anthropic is now 40% of enterprise LLM spend - here's how to use that.
Read more →Claude Consulting
Claude Opus, Sonnet, Haiku - picking the right model for the right job, prompt rig design, and the two evals that catch hallucinations before clients do.
Read more →By specialty.
Where vertical context matters more than horizontal AI capability.
Healthcare AI Consulting
HIPAA, PHI handling, clinical workflow integration. AI that survives the compliance review and actually moves a metric your CMO cares about.
Available - talk to usMLOps Consulting
The platform layer that turns ML projects into ML products. Feature stores, model registries, evals, drift detection, retraining.
Read more →Conversational AI Consulting
Voice and chat agents that hold context across long sessions, escalate when they should, and don't embarrass the brand.
Read more →We built and run Sentinel. We'll build yours the same way.
Sentinel is JAAX's live Shopify analytics product. Real merchants, real revenue, real bugs we've fixed at 2am. Every consulting engagement we run is shaped by what we've learned shipping it. That's the whole pitch.
See SentinelHow we work.
A four-step rhythm that holds across every service. Read it once; you'll see it everywhere on the site.
Use-case triage
Which AI projects actually pay off. We kill the ones that don't before you spend on them.
Minimum viable AI
Ship the smallest useful thing first. The eval is the spec. Production from week one.
Production hardening
MLOps, monitoring, cost controls, drift detection. The dashboard ships before the agent is interesting.
Team enablement
We leave you self-sufficient. Runbooks, evals, training. You own the system when we walk away.
Recent thinking.
Field notes and playbooks from inside live engagements. Read all posts →
The AI development company guide.
What "AI development company" actually means in 2026, how to evaluate one, and the four signals that separate operators from deck-writers.
Read →Why 95% of GenAI pilots fail.
A trillion-dollar implementation gap, three named reasons it widened in 2026, and the pilot-to-production playbook that fixes it.
Read →What we learned shipping 12 AI agents in 90 days.
Two founders, twelve agents, ninety days. The messy version of what worked, what we'd burn down, and four things we'd tell our 90-days-ago selves.
Read →If the work fits two weeks, it fits us.
Send a one-paragraph description of what you want shipped and a number you want moved. We'll come back the same day with a yes, a no, or a sharper question.
Book a 30-min fit call