We design and build autonomous AI workforces — multi-agent systems that hold real roles, carry real KPIs, and run around the clock. The same engineering discipline behind our trading infrastructure, applied to your operation. And we don't describe it; we let you watch it run.
Everything below is a live production system, running right now. Not a mockup, not a screen recording. Open a demo, read the meeting transcripts, watch the numbers move. Public access is strictly read-only.
Eight AI agents run a trading desk end-to-end: hourly strategy committees, a general manager, trade-by-trade attribution rulings, daily KPI reviews — every conversation permanently recorded. Paper capital, real discipline.
OPEN LIVE DESK ↗
Built for Clover Tab: a thirteen-agent workforce running a company's daily operations — finance, inventory, quality control, standups — surfaced in a live internal ERP its owner reviews by exception, not by hand.
OPEN LIVE ERP ↗
The same client's public storefront — catalog, copy, pricing and payment rails composed and maintained end-to-end by the agent workforce that runs the back office. Commerce as an output of automation.
OPEN LIVE STORE ↗
Six AI agents trade one instrument: a machine market-regime radar. Trend classified hourly, reversal signals scored against a full year of history, and a desk — analyst, risk, head trader, GM — that meets every hour to time its entries. Paper capital, hard-coded limits.
OPEN LIVE DESK ↗
Each agent holds a named seat with a mandate, memory, and accountability — an analyst, a manager, an auditor — not a prompt in a loop.
Agents meet, delegate, escalate, and review each other. The system produces decisions with reasoning attached, not just output.
Agents decide; code enforces. Budgets, permissions, and risk limits live in deterministic systems — never in a model's goodwill.
Every conversation, ruling, and action is permanently recorded. You can replay exactly why the system did what it did.
We sit with your operation and identify the roles — decisions made, reports written, checks performed — that can be held by agents.
We architect the agent organization: seats, mandates, meeting cadence, escalation paths, and the hard limits code will enforce.
Agents go live in a sandboxed environment first. We test them against real workloads until behaviour is boring — the highest compliment.
The workforce runs continuously; you supervise by exception through dashboards like the ones above, with alerts to your own channels.
Most "AI automation" is a chat window bolted onto a workflow. We build something different: persistent, multi-agent systems that hold jobs the way employees do — and leave an audit trail no employee ever could. The demos above are not marketing assets; they are our own operations, exposed.
We make no promises about magic. Our commitment is engineering: agents that decide, code that enforces, and records you can verify.