AI that does real work.

We build AI systems that run in production, not demos that look impressive in a pitch deck. Our AI answers phones, watches sensor networks, drafts follow-ups, and makes decisions with real money on the line. It works because we design the whole system around it: the data, the feedback loops, and what happens when something goes wrong.

100%

of the AI we ship runs in production, not demos

24/7

systems running unattended

Local

on-premise when data can't leave

Where AI earns its keep.

Six kinds of AI we have shipped to production. Every one is running for a real client or inside one of our own products today.

01 Autonomous agentsSystems that plan, execute, and check their own work. Task orchestration, self-healing, and isolated workers that keep running when one thing breaks. 02 Voice & conversational AIReal-time voice assistants that answer, look things up, and take action mid-conversation. Built for natural, low-latency exchange. 03 Predictive analyticsYield prediction, anomaly detection, and demand forecasting trained on your own data, so you see problems before they cost anything. 04 Automated decision systemsEngines that act on live data with built-in risk limits. We have run these in domains where a wrong decision costs real money. 05 AI-assisted creationDrafting and content generation with guardrails and consistency checking, so the output holds up over long projects. 06 Local & edge inferenceOn-premise AI for when your data can't leave the building. No cloud dependency, with cloud escalation only when you allow it.

Shipped, not theoretical.

Every capability on this page is already running in production, in systems we designed and built. A few from the portfolio:

Harvestry Anomaly detection, yield prediction, and closed-loop crop steering for controlled-environment agriculture →

Rope Drop Hero A Disney-trained assistant that tracks ride waits, books Lightning Lanes, finds dining, and guides families through the parks in real time →

ArcSuite Writing assistance with narrative consistency checking and hybrid memory for long-context work → Quantum Analytics Regime detection, strategy routing, and autonomous execution in live financial markets → Osric Labs A multi-agent operating system with local inference and a self-improving skill registry →

OUR APPROACH

Intelligence is structural, not a feature.

DEPLOYED WHERE MISTAKES ARE EXPENSIVE

Live financial markets real money

Commercial growing environments live crops

Once-a-year family trips no second chances

We don't bolt AI onto a product and call it smart. We design systems where the AI is woven into how the product thinks, and we care as much about the data pipeline, the feedback loop, and the failure modes as we do about the model.

Working in domains where a wrong answer costs real money shapes how we think about reliability, explainability, and what happens when the model is wrong.

Model-agnostic, infrastructure-flexible

We pick the right tool for the problem, not the one we're locked into, and we re-evaluate as models improve. Whatever is best for the job today: frontier models where quality matters, local models where privacy or cost matters, classical ML where a neural net is overkill.

Claude ChatGPT Open-weight local models Classical ML PyTorch vLLM llama.cpp PostgreSQL TimescaleDB ClickHouse Docker

Let's put AI to work on your problem.

Start with a free conversation. The free fit call can lead directly to a quote when the first project is clear. When there are several opportunities or the first project is unclear, the $999 AI Opportunity Assessment ranks the opportunities, estimates impact, and delivers a 90-day roadmap.

Request a free consult

No pitch decks. No pressure. Just a real conversation.