Most "AI" pitches end at a slide deck. Ours ship to a server, log every decision, alert you when something looks wrong, and keep running.
Multi-step agents that watch, decide, and act 24/7 — not chat demos. We've shipped autonomous trading systems that run on cloud servers without human intervention, with proper risk management, monitoring, and graceful failure modes.
XGBoost classifiers, regime-detection models, reinforcement learning for parameter tuning, and LLM post-mortem analysis. We don't pick the trendy library — we pick what survives walk-forward validation.
Replace brittle manual workflows with LLM-augmented automation. We retrofit AI into the systems your team already runs — CRMs, internal tools, data pipelines — instead of asking you to throw them out.
Code that ships to a server, runs as a managed service, sends alerts to your phone, and survives reboots. We treat "deployed and stable for 30 days" as the bar, not "works on my laptop."
A fully autonomous Python trading system deployed to a cloud server, running 24/7. Multi-layer signal scoring, ML-filtered entries, regime-aware position sizing, RL-tuned thresholds, and an LLM-powered post-mortem analyst that reviews trades automatically.
Build something similar+397%
2021 — 2026
+74%
out-of-sample
0.87 — 2.03
ranges
Backtest and walk-forward percentages refer to model methodology results. Past performance is not indicative of future results.
Real AI is what's running on the server right now. Everything else is a slide.
Have a workflow that should be automated, or an AI agent you want shipped?
We work directly with founders and operations leads. Same engineer from spec to production — no project-management layers, no farmed-out work.
