Product
Four layers. One intelligence system.
Starlit is a vertically integrated platform — from raw data ingestion to structured investment output. Each layer compounds the value of the one below it.
01
Data Store
Foundation
02
Data Ingestion
Infrastructure
03
Analysis Layer
Intelligence
04
Dashboard Layer
Interface
Data Store
FoundationWhat it does
A unified, continuously updated repository that aggregates structured and unstructured data across every source your firm relies on — market data providers, private market platforms, alternative data, news and media, regulatory filings, and your own internal research.
Why it matters
Buy-side teams currently pull data from 8–12 disconnected sources. No single system of truth exists. Analysts spend 60%+ of their time on data gathering rather than analysis. The Data Store eliminates this friction by creating a normalized, queryable foundation.
Buy-side use cases
VC analyst pulls real-time revenue proxies alongside internal valuation models for a Series B candidate
PE associate benchmarks portfolio company KPIs against sector comps without switching between Bloomberg and PitchBook
Hedge fund PM queries alternative data signals alongside traditional fundamental metrics in a single interface
Capabilities
Data Ingestion
InfrastructureWhat it does
A processing layer that normalizes heterogeneous inputs — structured APIs, unstructured documents (PDFs, filings, transcripts), news feeds, and internal notes — into a unified data model. Handles real-time streaming for market data and batch processing for periodic reports.
Why it matters
Raw data is useless without normalization. A revenue figure from PitchBook, a growth estimate from an internal model, and a proxy signal from SensorTower all need to be reconciled, timestamped, and confidence-scored before they can be compared or synthesized.
Buy-side use cases
Earnings transcript from a portfolio company is automatically parsed, key metrics extracted, and flagged against your firm's watchlist thresholds
Internal deal memo uploaded as PDF is structured into searchable fields and linked to the relevant company profile
Alternative data feed from SensorTower is normalized to match your internal demand-proxy framework
Capabilities
Analysis Layer
IntelligenceWhat it does
The core reasoning engine. Encodes your firm's proprietary investment logic (Firm Brain) — sectors, thresholds, red flags, conviction requirements, pattern recognition — and combines it with AI models to generate first-, second-, and third-order insights. Every output is traceable to its source data and reasoning chain.
Why it matters
Investment decisions depend on individual judgment that is rarely codified. When a senior partner retires or a key analyst leaves, institutional knowledge walks out the door. The Analysis Layer makes your firm's best thinking persistent, consistent, and scalable.
Buy-side use cases
System applies your firm's 'minimum 90% retention, sub-2x burn' filter across 200 companies and surfaces the 12 that pass — with reasoning for each borderline case
AI generates a variant perspective on a consensus-negative name, identifying a catalyst the market is underweighting
Second-order analysis flags that a competitor's fundraise could commoditize basic features, increasing the value of your portfolio company's moat
Capabilities
Dashboard Layer
InterfaceWhat it does
Structured output surfaces through company-level dashboards, portfolio views, risk monitors, opportunity rankings, and AI-generated memos. Every metric, insight, and recommendation is interactive, drillable, and exportable.
Why it matters
Analysis without presentation is wasted. The Dashboard Layer translates complex, multi-source intelligence into views that match how investment teams actually consume information — dense but scannable, structured but flexible, comprehensive but focused on signal.
Buy-side use cases
CIO opens portfolio dashboard before Monday IC meeting and immediately sees which companies triggered risk alerts over the weekend
Analyst clicks into a company profile and reviews the AI-generated thesis summary, variant perspective, and key developments — all updated in real time
Fund admin exports a portfolio performance report with standardized KPIs for LP quarterly update