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Lighthouse is an AI-native CRM that sources deals and finds your warmest path to a founder.
Grounded in available product and source data
A typical CRM is a static list someone has to keep updating by hand — Lighthouse is an AI-native CRM for venture capital instead, sourcing, enriching, and re-ranking a firm's pipeline continuously rather than sitting still between manual updates.
Sourcing itself runs around the clock: accelerator batches, registries, and product launches get scanned automatically, forwarded pitch decks and intro emails parse straight into structured records, and a fund's own thesis gets encoded as filters so only genuinely fitting companies surface. Hiring spikes, GitHub traction, and funding chatter flag a company heating up often before it starts actively raising, with the whole pipeline re-ranking itself as fresh signals arrive.
Once a company enters the system, enrichment keeps it current without anyone manually researching it again — founder backgrounds resolve automatically, funding rounds assemble into a clean timeline with a projected next-raise window, and an AI-generated summary with citations refreshes continuously rather than going stale between conversations.
What sets the relationship layer apart from a typical contacts list is that it maps the whole firm's combined network, not just one partner's Rolodex: importing each team member's email and LinkedIn lets Lighthouse trace the warmest multi-hop path to any target founder and score each connection by actual interaction frequency, distinguishing a real relationship from a nominal one before anyone asks for an intro.
Built-in AI agents handle the repetitive operational load — inbound triage, auto-enrichment, meeting notetaking — with nothing outbound ever sent without human approval, and a workflow builder available for firms that want a custom agent tailored to their own process. Institutional memory compounds on top of all of it: every touchpoint a firm has ever logged with a company survives staff turnover, so relationships and history don't walk out the door when a team member leaves. A 7-day free trial gives full platform access with no credit card required. The page reviewed does not specify how enrichment data is sourced or how frequently a stale profile gets re-checked, worth confirming directly for time-sensitive diligence.
It's built to find new ones proactively — sourcing continuously scans accelerator batches, registries, and product launches against a fund's encoded thesis, rather than relying on a partner to manually search and add companies.
No — connections are scored by actual interaction frequency and recency rather than treated as equally strong, so the person with a genuinely warm, recent relationship surfaces ahead of someone who's only nominally connected.
No — the site states nothing outbound is ever sent without human approval; built-in agents handle drafting and triage, but a person stays in the loop before anything actually leaves the firm.
It stays with the firm — institutional memory retains every touchpoint a firm has logged with a company or founder, specifically so relationships and history survive staff turnover instead of leaving with the person who built them.
Yes — the platform is built API- and MCP-first, so the same actions available in the dashboard, like searching for companies and adding them to a pipeline, are callable directly through an SDK or from within an AI agent.
No — the site names angel syndicates, early-stage VCs, growth-stage VCs, corporate venture capital, and family offices as fits, adapting to firm size and check stage rather than being built for one type of investor only.
