
Finance
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Treasury Management
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YC W26
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Valuation:
Undisclosed

Last Updated:
March 24, 2026

Provides a treasury management platform enabling startups and SMBs to earn 4.5-5% annual yields on idle cash through institutional-grade bond portfolios, with 1-2 day liquidity and seamless Plaid bank integration, no need to switch banks.
Palus has publicly launched Plaid-based bank connectivity, institutional-grade bond portfolio access, and a minimalist UI for startups and SMBs. They are actively onboarding YC W26 batch companies and targeting 4.5-5% net yields with 1-2 day liquidity. Their public messaging emphasizes simplicity ("two buttons and a number that goes up") and plans to expand yield product offerings.
X/Twitter bio references "DeFi protocol," and external developer activity points to a Solana staking aggregator MVP with NFT-based yield rights trading, suggesting a blockchain-native treasury layer is in development. GitHub and community signals hint at future API-first integrations with accounting/ERP platforms (e.g., QuickBooks, Xero). The pivot from consumer to B2B treasury, combined with the CTO's quantum computing infrastructure background, suggests proprietary optimization engines for bond selection and rebalancing that go well beyond off-the-shelf portfolio tools. Likely exploring hybrid TradFi + DeFi yield strategies for enterprise clients.
ML-driven dynamic bond portfolio optimization that continuously rebalances allocations across maturities, credit qualities, and instruments to maximize net yield while maintaining 1–2 day liquidity constraints for SMB clients.
A smart system constantly reshuffles which bonds your idle cash sits in so you earn more without taking on extra risk.
It's like having a Michelin-star chef in your kitchen who somehow makes a gourmet meal every night using only whatever's about to expire in your fridge—maximizing flavor while wasting nothing.
Time-series ML models that predict each client's future cash inflows and outflows to proactively optimize how much idle cash can be safely allocated to higher-yield, slightly longer-duration bonds versus kept in instant-access reserves.
The system learns your company's spending and revenue patterns so it knows exactly how much cash it can safely put to work earning higher returns at any given time.
It's like a bartender who knows exactly when the Friday rush hits and pre-chills the glasses, so every drink comes out fast even though the good bourbon was locked in the back.
NLP and supervised learning models that continuously assess credit risk across thousands of bond issuers by ingesting financial filings, news, ratings changes, and alternative data to select only instruments that meet Palus's safety thresholds while maximizing yield.
An AI reads every financial report and news article about bond issuers so your cash is never parked somewhere risky—even before the rating agencies catch on.
It's like having a food safety inspector who reads every Yelp review, health department filing, and supplier report before letting a single ingredient into your restaurant's kitchen.
Palus combines deep institutional asset management engineering (Sam built an investment research platform for an asset manager with over $3T AUM) with mission-critical infrastructure expertise (Michael wrote monitoring software that saved defense contractors $150M by optimizing uptime of multi-site quantum computer fleets), both Caltech alumni, giving them a rare ability to build both the financial models and the resilient systems needed to safely manage other companies' cash at scale.