We build AI systems that run in production — not demos that look impressive in a pitch deck. From voice-first concierges to autonomous trading engines to multi-agent operating systems, we've shipped AI that handles real data, real decisions, and real money.
We don't treat AI as a feature to bolt on. We design systems where intelligence is structural — the AI isn't doing one trick, it's woven into how the product thinks. That means we care as much about the data pipeline, the feedback loop, and the failure modes as we do about the model itself.
We've deployed AI in domains where mistakes are expensive: automated trading in live financial markets, environmental control in commercial cultivation, and real-time planning for families navigating crowded theme parks. That experience shapes how we think about reliability, explainability, and graceful degradation.
AI capabilities we've shipped to production.
Multi-agent systems with task orchestration, self-healing, and skill registries. Docker-isolated workers with local LLM inference.
Real-time voice concierges with WebRTC, tool-calling workflows, and location-aware context. Built for natural, low-latency conversation.
Yield prediction, anomaly detection, regime classification, and demand forecasting trained on your domain data.
Trading engines, strategy routers, and control systems that make real decisions autonomously with built-in risk management.
Writing assistance with narrative consistency checking, content generation with guardrails, and hybrid memory layers for long-context tasks.
On-premise LLM deployment with llama.cpp and vLLM. Multi-GPU inference routing, cloud escalation fallback, and zero cloud dependency when needed.
Every project in our portfolio uses AI in a meaningful way:
We're model-agnostic and infrastructure-flexible. We pick the right tool for the problem:
Tell us what you're trying to automate, predict, or understand. We'll tell you what's realistic.
Book a Free ConsultNo pitch decks. No pressure. Just a real conversation.