Tendril

Tendril is a live go-to-market (GTM) intelligence platform that converts scattered public web data, and spoken conversations, into evidence-backed, scored sales signals for B2B revenue teams. The core is a durable, multi-stage pipeline (discover, scrape, extract, graph, score, brief, outreach), where every stage commits state before yielding, so scans survive restarts. Bright Data powers live web acquisition: the SERP API runs targeted per-account queries, the Web Unlocker fetches bot-protected pages, and a Scraping Browser handles JavaScript-heavy fallbacks. AI/ML API acts as an OpenAI-compatible model gateway with routing: a cheap model for strict-JSON signal extraction, a stronger model (GPT-4o) for briefs, and a fast model for drafts. A parallel multimodal branch is the differentiator. Bright Data discovers public spoken sources, Tendril extracts the audio (yt-dlp and ffmpeg), and Speechmatics transcribes it live with speaker diarization and word-level timestamps. A cheap Featherless relevance filter gates the expensive extraction, and content-addressable hashing (SHA-256 over audio) guarantees the same media is never transcribed, or paid for, twice. Both branches converge into Cognee Cloud, a per-account knowledge graph that is written to and recalled from, grounding each brief in how the account changes over time. Engineering for trust and reliability is first-class. A transparent 0 to 100 rubric (fit, timing, relationship, evidence) gates "sales-ready", PII is scrubbed before any memory write, and per-scan budget caps plus a full provider-call audit trail keep cost and behavior accountable. Mock, live, and cached modes plus graceful fallbacks (Cognee to local, AI/ML to deterministic) mean a demo never breaks. Outreach is human-in-the-loop with ethical guardrails and switchable tone, never auto-sent. Tendril tells GTM teams who is ready now, why it matters, and what to say next, with every claim tied to a live, verifiable source.