
The problem: every founder knows their company has operational bottlenecks, but finding exactly where, and what is actually automatable, takes weeks and an expensive consultant. Most tools surface firmographics and market noise, which is true but useless for deciding what to fix. What it does: you give it one company domain. A multi-step agent reads the hard-to-reach live web (reviews, forums, job posts, code, public company data, funding portals) and returns a grounded operational brief. What is in the brief: operational pain signals, where each one is an internal bottleneck paired with the AI automation that resolves it; a where-to-start recommendation; company structure (headcount, roles, customers, funding); and funding opportunities researched for the company's own country, analysed for eligibility and coverage. Every claim carries a verbatim quote and a source link, and a grounding critic removes anything it cannot cite, so there are no hallucinations by construction. Proof it generalises: we ran it on five companies across five verticals and five countries, a US dev tool, an Estonian analytics startup, a Finnish consumer-health brand. Same engine, a different playbook each time, with funding always resolving to the correct country. How we built it: Bright Data for resilient live-web access (SERP, Web Unlocker, MCP), Xiaomi MiMo V2.5 Pro for the reasoning chain, and n8n for orchestration. Who we are: RevSignal is built by ArtificialArtz. It is the free Layer 1 of our AI-transformation model: the cited brief is the lead magnet, then a paid Audit, then a delivered Managed Ops Sprint. Our moat is the bridge from diagnosis to delivery, and we will run it on our own pipeline every day. Live demo: demo.artificialartz.xyz/revsignal
31 May 2026