WHAT WE BUILD · AI & MACHINE LEARNING

AI that does real work.

We build AI into applications that people can use: assistants, document workflows, sensor monitoring, and controlled actions on live data. We design the surrounding software too: permissions, evaluation, human review, and recovery when something goes wrong. Our portfolio distinguishes deployed work from products in development and internal research.

End to end

application engineering, AI, and operational controls

Bounded

automated actions with human oversight

Local

on-premise when data can't leave

Where AI earns its keep.

Six areas of AI engineering we can scope around your application. The linked projects show what is implemented and what remains in development.

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 where your data supports useful, testable predictions. 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.

Working software. Clear proof.

Selected projects and internal research demonstrate different capabilities. Each case study identifies its status; a working interface is not a claim of customer adoption or financial results.

Harvestry Live cultivation platform with anomaly detection, yield prediction, and closed-loop crop steering →

Rope Drop Hero A mobile product combining contextual AI, eligible Lightning Lane automation, and guest-controlled dining handoffs; early access for iOS and Android →

ArcSuite Writing assistance with narrative consistency checking and hybrid memory for long-context work → Quantum Analytics Internal market-analysis and execution platform that has executed live trades; no profitability claim → Osric Labs Internal multi-agent system with local inference and supervised task coordination; self-improving playbooks remain experimental →

OUR APPROACH

Intelligence is structural, not a feature.

WHERE RELIABILITY MATTERS

Live financial markets real money

Commercial growing environments live crops

Once-a-year family trips time-sensitive decisions

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.