We build a system that reads your investment thesis in plain English and evaluates every company in your universe the way a senior analyst would, scoring and ranking millions of opportunities at scale. Re-score your entire dataset instantly when your thesis evolves, without rebuilding anything.

We build a live dashboard that monitors every deal under active evaluation and synthesizes all available data into a thesis-aware signal summary. Missing data flags surface before your partners meeting, not during it. One clear answer to: "What does the data say about this company right now?"

We deploy a fully private, self-hosted LLM environment for your firm. Analysts upload deal documents and automatically receive four structured outputs: company snapshot, risk report, key metrics extract, and first-draft IC memo every claim cited back to its source. Your documents never leave your environment.

We build tools that auto-detect upcoming meetings with portfolio companies or founders, and generate contextualized preparation notes. Sections, length, and depth are all configured around each deal. Teams arrive informed without spending hours reading reports.

We build pipelines that ingest every input format docx, PDF, images, spreadsheets convert them into a unified structure, extract portfolio events, organize them into timelines, and produce polished quarterly LP reports. Exhaustive, automated, and traceable.

We build a continuous intelligence layer that aggregates internal and external signals across your portfolio, structures company knowledge, and surfaces anomalies between reporting cycles. Identify problems before they happen and know which companies need attention.