Expert network and investment research platform serving institutional investors
Third Bridge operates a global expert network matching institutional investors and business leaders with domain specialists across sectors, geographies, and private markets. The hiring mix is heavily sales-focused (112 sales roles) with junior headcount accelerating, suggesting aggressive expansion of client acquisition and expert outreach. Tech stack reveals a modern ops engine—Salesforce + NetSuite for CRM and finance, plus emerging AI adoption (ChatGPT, RAG, Milvus) layered onto a TypeScript/React/Node.js application layer—indicating investment in automating expert matching and content generation at scale.
Notable leadership hires: Office Lead, Lead Generation Analyst
Third Bridge is a London-based investment research firm founded in 2007, now operating across nine countries with over 1,500 employees. The core product connects institutional clients (private equity, hedge funds, corporates) with vetted domain experts for calls, research panels, and ad-hoc intelligence on industrials, energy, materials, and private market transactions. The company maintains a library covering over 65,000 companies and generates revenue through expert call scheduling, custom research, panel access, and proprietary content products (primers, tearsheets, maps). Recent operational focus includes designing survey tooling, building expert engagement workflows, and expanding research coverage across Asia, while managing compliance risk and tightening expert call scheduling against client deadlines.
Core CRM stack: Salesforce, NetSuite, Bloomberg. Application layer: TypeScript, React, Node.js, PHP. Data: BigQuery, Milvus (vector DB). Testing: Playwright, Cypress, Selenium. AI models: ChatGPT, DeepSeek, Qwen (RAG integration). Recruitment: LinkedIn Recruiter, SmartRecruiters. Comms: Gong (call recording).
Across nine countries: United Kingdom (HQ), United States, India, Japan, China, United Arab Emirates, Germany, and South Korea. India and US appear to be secondary hubs based on hiring volume.
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