A venture capital fund running 20–30 company evaluations per week was drowning in fragmented deal intelligence, transcripts, emails, investment memos, and external research spread across dozens of stakeholders with no central system.
Associates spent hours each day manually collecting and synthesizing information that should have been instantly accessible, leaving zero time for the sourcing work that actually drives fund performance.
Lazer Technologies built a custom internal dashboard that automatically ingests all deal-related data, transcripts, emails, investment memos, stakeholder messages, and proprietary industry data, into a single filterable view, with an OpenAI-powered LLM summarizing long transcripts using VC-specific framing.
Associates recovered an estimated 1–2 hours per day previously lost to manual note collection and memo synthesis, time reallocated directly to founder meetings and deal sourcing.
The fund went from fragmented, siloed data across emails and transcripts to instant visibility into all active deals, filterable by stage, vertical, and revenue.
Call transcripts summarized through an OpenAI-based LLM with VC-specific framing, not just what was said, but what matters to a fund with this thesis, making intelligence immediately actionable.
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