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🤝 Top Collaborators
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🤓 Latest Submissions
Quorum — a Self-Assembling AI Investment Committee
Quorum turns the slow, manual investment-committee process into a team of specialist AI agents that collaborate — and govern themselves — entirely through Band. Every asset manager makes high-stakes calls the same way: analysts compile research, a bull and a bear argue, risk and compliance weigh in, a portfolio manager decides, and someone documents the decision for regulators. It's slow, inconsistent, and — under the EU AI Act and SEC recordkeeping rules — that audit trail is legally required. Quorum runs the whole committee as ten specialist agents, each on its own model across five vendors (OpenAI, DeepSeek, xAI, and Google via the AI/ML API; open-weight Qwen via Featherless). A Portfolio Manager convenes the meeting and routes a live case file — built from real-time Yahoo Finance data — to a Research Analyst, then to Bull and Bear analysts who must rebut each other. A Risk Officer holds an enforceable compliance gate. Crucially, the committee isn't a fixed pipeline: when risk findings demand it, the PM uses Band's peer discovery to recruit the right specialist — forensic accounting, valuation, or export controls — into the room mid-meeting. Deadlocks escalate to a Chief Risk Officer, and a standing Independent Auditor attests the decision before a human signs off. Band is the only channel between agents: every handoff is a real, mention-routed agent-to-agent message — there's no shared database, so the case file travels inside the messages. The result is a faster, consistent, fully auditable BUY/HOLD/SELL decision with a complete, replayable trail. An interactive Streamlit demo lets anyone replay real committee runs on NVDA, EA, and AAPL.
19 Jun 2026
CORE AI: Multi-Agent ESG Evaluator for Mining
The Problem Mining due diligence is dangerously siloed, expensive, and slow. Geological, environmental (ESG), and financial teams evaluate projects independently. Because of this, a fatal ESG flaw—such as unresolvable acid rock drainage or impossible indigenous consent pathways—is often discovered only after millions of dollars are wasted on early-stage drilling. Investors need a way to instantly cross-validate the physical, environmental, and economic realities of a prospect before deploying capital. The Solution C.O.R.E. AI (Collaborative Operational Risk Evaluator) is a multi-agent AI pipeline that simulates an expert mining C-suite. Powered by CrewAI, it ingests raw prospect data and runs parallel evaluations via a Geologist, an Environmental Engineer, and an Economist. Finally, a Chief Operating Officer (COO) agent synthesizes these reports, checking for contradictions, to issue a definitive, institutional-grade "PROCEED" or "REJECT" stage-gate verdict in seconds. Target Audience Mining executives, institutional investors, project financiers, and private equity firms who require rapid, rigorous risk assessment to make early-stage capital allocation decisions. Unique Features & Benefits • Genuine "REJECT" Capability: Standard AI defaults to optimism. Our COO agent applies a strict six-point fatal-flaw test. If the geology doesn't support the capital plan, or an ESG risk is unresolvable, the AI actively kills the project to preserve capital. • Cognitive Routing: Tasks are routed to optimal models via cloud inference. Mixtral manages complex ESG regulatory frameworks, Qwen handles numeric financial modeling, and Llama 3.3 drives executive synthesis. • Quantified ESG Risk: Environmental hazards aren't just flagged; they are converted into explicit CAPEX/OPEX penalties within the economic model. • Executive Dashboard: A premium UI featuring interactive ESG Risk Radars and downloadable JORC-aligned reports.
10 May 2026
