Labs is our internal R&D arm. We use it to keep practical knowledge ahead of client work, and the work occasionally ships as standalone systems we run ourselves.
Not demos. Running systems on our own infrastructure, under the same standard we sell to clients.
Agent-driven trading platform. Walk-forward strategy research, paper trading, a live cockpit, and daily published leads with results. ProxiAlpha folded in.
AI Development Engine: a terminal coding agent on a provider-agnostic LLM gateway that routes work across Anthropic, OpenAI, Azure, Google, DeepSeek, and self-hosted GPU models, with automatic fallback when a provider throttles. Runs as a CLI, or as a server with a cross-platform desktop client.
Tool design, planning, multi-step reasoning, long-horizon tasks. The hard parts of agent reliability.
Eval harnesses, regression tests, drift detection. The instrumentation that keeps systems honest in production.
Walk-forward research, regime detection, ensemble strategies. ProxiTrades is our test bed.
Chunking, embeddings, hybrid search, and the failure modes that show up at scale.
Adversarial probes, prompt injection, jailbreak defenses, and a working protocol that ops teams can run.
UIs for the people running AI in production. Dense, fast, opinionated, built for operators.
A consulting team that doesn't build will eventually start advising from secondhand knowledge. Once that happens, you start hearing things that sound right and don't survive contact with production.
Labs is how we keep that from happening. We run our own systems, on our own infrastructure, under the same operating standard we sell to clients. The lessons from those systems show up in client engagements directly.
The training practice draws from the same well — the curriculum is built on what we've actually shipped, not on what's currently trending.
Labs occasionally takes on research collaborations and partnerships when the work is a fit. Tell us what you have in mind.