Clarovo offers a strategic advisory platform that lets lean founder teams run structured analysis sessions and receive board‑ready deliverables—consequence maps, risk registers, and PDFs—in under 20 minutes. The system ingests client data, grounds every claim in the source material, and uses an AI‑driven consequence engine to map outcomes and assign risk scores, reducing a typical 15‑person engagement to a three‑person effort. An API also lets autonomous AI agents query the platform for structured verdicts and escalation messages.
Funding
Funding not disclosed
Founders
Product
Problem
Founders and lean consulting teams often need rigorous strategic analysis—such as consequence maps, risk registers, and board‑ready documentation—but traditional advisory engagements require large, multi‑person teams and extensive time, making the process costly and slow.
Solution
Clarovo delivers a structured advisory platform that automates the creation of consequence maps, risk registers, and board‑ready PDFs in under 20 minutes. Users upload unstructured data (financials, contracts, CRM exports) which the system subjects to an epistemic audit, classifying each piece of information as verified, assumed, or inferred. The platform’s consequence engine then maps first‑, second‑, and third‑order effects, calculates regret scores, and flags blind spots, producing a comprehensive, citation‑backed output. The resulting deliverables—including decision memos, execution plans, and risk registers—are ready for board presentation without manual synthesis. An API also lets autonomous AI agents request structured verdicts and risk scores before executing consequential actions, ensuring AI‑driven decisions are grounded in the same rigorous analysis.
Target Audience
Primary users are founders of growth‑stage companies and small consulting teams that need high‑rigor strategic advisory without the overhead of large consulting firms.
Features
- Upload of unstructured client data with automatic epistemic audit that tags verified, assumed, and inferred information
- Consequence engine that maps multi‑order effects, calculates regret scores, and identifies blind spots
- Generation of board‑ready PDFs containing consequence maps, risk registers, decision memos, and 90‑day execution plans in under 20 minutes
- Zero‑hallucination architecture ensuring all claims are data‑grounded and explicitly cited
- API (JSON‑RPC 2.0) for AI agents to receive structured verdicts, risk scores, and escalation messages before action
- Support for 16 predefined session types covering M&A diligence, market entry, competitive war games, and more
- Outcome tracking modules for 30/60/90‑day post‑engagement monitoring