Bridge is an AI‑powered business intelligence platform that matches verified software professionals with product, go‑to‑market, and research opportunities, eliminating cold outreach. Experts receive a 70% revenue share for brief sessions, with payments processed automatically via Stripe within two business days, and can opt‑in to recurring rev‑share on reused insights. The service ensures high‑quality input by vetting participants’ roles, tech stacks, and sample reviews, maintaining an acceptance rate under 5%.
Funding
Funding not disclosed
Founders
Product
Problem
Product and go‑to‑market teams often rely on legacy expert networks that are expensive, have long matching times, and provide low‑signal feedback from unverified respondents. This slows product discovery, inflates research budgets, and yields biased insights that hinder timely decision‑making.
Solution
Bridge is an AI‑driven business intelligence platform that connects verified software professionals directly with product, GTM, and research teams. The system uses proprietary AI matching based on role, technology stack, and sample reviews to surface high‑signal experts within 48 hours, eliminating cold outreach. Experts are compensated with a 70 % revenue share paid automatically via Stripe, and can opt‑in to recurring royalties when their insights contribute to closed deals. Companies receive deliverables only after approval, with a satisfaction guarantee and transparent pricing that is 70–80 % lower than traditional expert networks. The platform’s anti‑spam design ensures privacy‑by‑default and unbiased feedback, accelerating discovery and improving the quality of product decisions.
Target Audience
Primary customers are SaaS product, marketing, and research teams that need rapid, high‑quality expert insights, as well as verified software professionals seeking compensated, on‑demand advisory work.
Features
- AI‑powered matching engine that filters thousands of verified experts by role, tech stack, and competitor tags to deliver the right operator in ≤48 hours
- High‑signal session formats including discovery calls, deep‑dive interviews, UX walk‑throughs, competitive tear‑downs, advisory workshops, and async surveys
- Automatic payout workflow: 70 % expert share processed through Stripe within two business days, with optional recurring rev‑share on deal closures
- Quality control pipeline accepting <5 % of applicants after role, stack, and sample review verification
- Transparent, usage‑based pricing model with no minimum commitment and a pay‑on‑acceptance guarantee
- Privacy‑first data handling: no resale of personally identifiable information and permission‑based outreach only