Most portfolio analytics fail not because the charts are wrong, but because the inputs are. Ownership lives in cap table software, holdings in fund accounting, KPIs in inboxes — and the truth is somewhere in between. Foresight reconciles those sources first, then puts analytics on top. Your team can't make decisions from ten versions of the truth; neither can your AI.
TVPI, DPI, Net IRR, and MOIC across every fund and vintage, in real time — gross and net
revenue growth, burn, runway, and custom KPIs, ranked and compared across the portfolio
fully diluted positions, unrealized value drivers, and which companies can return the fund
company-level exit scenarios composed into fund-level forecasts — IRR, MOIC, DPI, TVPI, and waterfall outcomes
portfolio construction, capital pacing, reserve and carry modeling
run new portfolio cuts instantly — by sector, stage, fund, or any dimension — without exports or spreadsheets
Foresight AI answers portfolio questions conversationally: "Which companies are on track to return Fund III?" "How much capital has been deployed out of Fund V?" "Rank our fastest-growing companies by ARR." Answers come from your verified data, with lineage back to source documents — in the Foresight platform, or in Claude, ChatGPT, and Glean through Foresight's MCP server.
Beyond the interface, Foresight provides unlimited API access and a hosted Snowflake warehouse, so data teams can run their own models on clean, unified portfolio data instead of maintaining ingestion pipelines.
