Raster - The AI Quant Desk for Onchain Finance

Hey Everyone! Jacob here, CEO at Raster. We built Raster because onchain finance is facing a massive structural block: digital asset portfolios aren't truly operational. If you talk to anyone handling capital in DeFi, they'll tell you the exact same things: PnL cannot be fully trusted, risk metrics can't be cleanly measured, and critical portfolio decisions inevitably break across fragmented venues and wallets. Most tools out there only aggregate basic balances or show raw event data. They expect teams to do the hard work of internal modelling. Coming from backgrounds of TradFi, building enterprise infrastructure, and scaling systems for millions of users, our team knew we needed to bring TradFi accounting rigor to Web3 data. How we solve it: We engineered Raster around three pillars: Truth, Risk, and Decision Intelligence. - Truth: Instead of approximating metrics, Raster uses a proprietary attribution engine that looks at raw blockchain activity and accurately reconstructs the full portfolio state from the ground up. This gives you an absolute, auditable source of truth for cost basis, exposure, and net asset value (NAV). - Risk: We measure real-time risk signals, including VaR, expected shortfall, and concentration analysis, directly on top of that reconstructed state. - Decisions Intelligence: On top of that foundation, we are incredibly close to deploying our Decision Intelligence layer. This is a governed AI agentic system which converts deterministic portfolio truth into actionable market recommendations and automated financial workflows that interact directly with you. We are actively scaling our platform through embedded institutional workflows and APIs. You can dive into the live platform right now at raster.finance. We’d love to hear your thoughts, answer any engineering questions about our data reconstruction logic, or get your feedback on our upcoming decision intelligence architecture! 🚀