Starlit offers an AI‑powered investment research copilot that digitizes a firm’s proprietary investment logic and merges it with real‑time, multi‑source data to generate structured, auditable insights at machine speed. The platform produces over 60 signals per company and delivers outputs that can be traced back to the firm’s own heuristics, enabling faster, repeatable decision‑making.
Funding
Funding not disclosed
Founders
Product
Problem
Investment teams rely on fragmented data sources, generic external research, and manual aggregation, leading to slow, biased, and non‑repeatable decision processes. Off‑the‑shelf AI tools cannot incorporate a firm’s proprietary heuristics, deal‑breakers, or conviction thresholds, resulting in undifferentiated insights that lag behind market movements.
Solution
Starlit digitizes a firm’s proprietary investment logic and continuously merges it with real‑time data from dozens of premium sources. The platform generates structured, auditable outputs that emulate the reasoning of senior partners at machine speed, delivering over 60 signals per company refreshed every two minutes. By encoding sector preferences, threshold criteria, and pattern‑recognition rules, Starlit applies consistent logic across all analyses, eliminating manual bias and ensuring repeatability. AI‑driven insights include actionable recommendations such as “Invest” or “Monitor,” as well as risk alerts and performance trends for each portfolio company. Users access these insights through a unified dashboard that supports due‑diligence, ongoing monitoring, and reporting for various investment strategies.
Target Audience
Starlit serves investment professionals at venture capital, private equity, hedge fund, family office, and pension fund firms who need consistent, data‑driven analysis and real‑time portfolio monitoring. The platform is designed for analysts, partners, and portfolio managers seeking to embed proprietary logic into scalable AI insights.
Features
- Encoding of firm‑specific investment logic (sectors, thresholds, deal‑breakers) into a reusable AI model
- Real‑time ingestion and normalization of data from 12+ external sources, including market data, filings, news, and alternative signals
- Generation of 60+ AI‑derived signals per company with updates every two minutes
- Auditable output with transparent reasoning chains that can be reviewed and challenged
- Continuous portfolio monitoring with automated risk alerts and performance dashboards
- Customizable use‑case templates for venture capital, private equity, hedge funds, family offices, and pension funds