Solutions
Structured for how you invest.
Starlit adapts to your firm type, strategy, and decision-making process. The same intelligence platform, configured for your specific workflow.
Venture Capital
Starlit structures the VC evaluation framework — market, team, product, growth, unit economics, and risk — into a repeatable, AI-enhanced process. Every deal is analyzed through your firm's lens, not generic benchmarks.
Decisions Starlit supports
Should we take a first meeting?
Does this pass our initial screen?
What is the variant thesis here?
How does this compare to our portfolio company in the same space?
Is this company ready for follow-on?
What risks should we flag for IC?
Key workflows
Deal Screening
Auto-score inbound deals against your firm's minimum thresholds (TAM, retention, growth rate, burn multiple)
Due Diligence
Structured analysis across 6 dimensions with AI-generated thesis summary and variant perspective
Portfolio Monitoring
Continuous KPI tracking with automated alerts for runway risk, retention drops, and competitive threats
IC Preparation
Generate structured investment memos with data-backed reasoning and risk/reward framing
Example outputs
Private Equity
For PE firms, Starlit focuses on operational depth — revenue quality, margin trajectory, management benchmarking, and sector comps. The system tracks value creation plans against actual performance and flags execution gaps early.
Decisions Starlit supports
Is revenue growth driven by pricing power or volume?
Where are the margin expansion opportunities?
How does management compare to sector benchmarks?
Is the company on track for exit metrics?
What operational risks are emerging?
Which portfolio companies need intervention?
Key workflows
Operational Deep Dive
Granular analysis of revenue composition, customer concentration, margin drivers, and working capital efficiency
Value Creation Tracking
Map 100-day plan milestones against actual KPI progression with automated deviation alerts
Sector Benchmarking
Compare portfolio company performance against relevant public and private comps
Exit Readiness Scoring
Track progress toward exit criteria across financial, operational, and market dimensions
Example outputs
Hedge Funds
Starlit ingests alternative data, sentiment feeds, and fundamental data into a unified signal detection engine. The system identifies non-consensus signals, tracks positioning shifts, and generates catalyst timelines — all filtered through your firm's risk framework.
Decisions Starlit supports
What is the market missing on this name?
Is sentiment diverging from fundamentals?
What catalysts are approaching and how are they priced?
Where is positioning crowded?
What second-order effects should we be watching?
Is our risk exposure within tolerance?
Key workflows
Signal Detection
Real-time monitoring of alternative data, sentiment shifts, and fundamental divergence across your coverage universe
Variant Analysis
AI-generated contrarian perspectives with supporting evidence and confidence scoring
Catalyst Tracking
Timeline of upcoming events (earnings, regulatory, competitive) with scenario analysis
Risk Monitoring
Continuous portfolio risk assessment with factor exposure, correlation shifts, and tail risk alerts
Example outputs
Family Offices
Family offices manage across asset classes, strategies, and time horizons. Starlit provides a unified intelligence layer that respects the family's unique investment philosophy — whether conservative, concentrated, or diversified — without forcing institutional process overhead.
Decisions Starlit supports
How is our overall allocation performing?
Which managers are delivering alpha?
Are we overexposed to any single risk factor?
How does this opportunity fit our philosophy?
What should we be watching in the current environment?
Is our liquidity position appropriate?
Key workflows
Unified Dashboard
Single view across direct investments, fund commitments, public markets, and real assets
Manager Evaluation
Track external manager performance against benchmarks, style drift detection, and fee analysis
Risk Aggregation
Cross-strategy risk analysis with concentration alerts and correlation monitoring
Opportunity Screening
Evaluate new opportunities against the family's investment charter and existing exposure
Example outputs
Pension Funds
Pension funds operate under unique constraints — liability matching, regulatory requirements, and long-duration horizons. Starlit adapts to these constraints, providing intelligence that optimizes for funded status, factor exposure, and fee efficiency rather than pure return maximization.
Decisions Starlit supports
Is our funded status trajectory on track?
How should we adjust duration exposure?
Which managers are justifying their fees?
Are we meeting our ESG integration targets?
What rebalancing actions are indicated?
How would a rate shock affect our position?
Key workflows
Liability Monitoring
Continuous funded status tracking with sensitivity analysis to rate, inflation, and longevity assumptions
Factor Budgeting
Decompose portfolio risk into factor exposures and optimize against liability-driven constraints
Manager Oversight
Evaluate manager performance net of fees, style consistency, and contribution to overall portfolio objectives
Regulatory Reporting
Automated generation of regulatory filings with audit-ready data trails