Trust Infrastructure Startup Draws Early Backing

ZeruAI, a startup building reputation systems for crypto and AI economies, closed a pre-seed round with Notalone Ventures participating. The April 9, 2026 announcement extends the company's work on onchain credit scoring into broader behavioral tools. Founded in 2024, ZeruAI targets a basic problem: blockchain data is public, but there's no native way to interpret whether a wallet is trustworthy.

The main product is zScore, which rates wallets from 0 to 1000 based on transaction patterns. Think of it as a credit score for pseudonymous addresses. ZeruAI is building on this with Zaps (activity-based rewards) and AgentScan (reputation tracking for AI agents). The pitch to DeFi protocols: use behavioral data to price risk instead of demanding 150% collateral. Early pilots for undercollateralized lending are running in Europe and Asia.

Before this round, the team raised from angels at Router Protocol, Covalent, and Jokerace, plus grants from the Eigen Foundation. The new money goes toward expanding from individual wallet scoring to systems that can evaluate AI agents. The company didn't say how much they raised or at what valuation.

| Fact | Details | |------|---------| | Project | ZeruAI | | Sector/Category | Decentralized trust infrastructure / AI-crypto behavioral intelligence | | Funding Round | Pre-seed | | Amount Raised | Undisclosed | | Valuation | Not specified | | Lead Investor(s) | Undisclosed | | Notable Participants | Notalone Ventures; prior angels from Router Protocol, Covalent, Jokerace; grants from Eigen Foundation | | Announcement Date | April 9, 2026 |

Why Behavior-Based Scoring Matters Now

DeFi protocols have a collateral problem. Most require borrowers to lock up more than they borrow, which defeats much of the point. ZeruAI's approach analyzes repayment history, how efficiently someone uses capital, and interaction patterns to generate risk scores. Protocols using zScore say they've seen fewer fake accounts gaming airdrops and better user retention, though specific figures weren't provided.

Notalone Ventures focuses on early-stage crypto-AI deals. Their participation suggests there's real investor appetite for this kind of infrastructure, though neither the firm nor ZeruAI offered quotes for the announcement. ZeruAI's system pulls data from multiple chains, covering millions of wallets, and runs it through machine learning models. Revenue comes from API access for data filtering and underwriting.

The timing matters because AI agents are starting to hold their own wallets and transact autonomously. AgentScan extends the same scoring approach to these systems, evaluating them by execution history rather than identity. The company claims practical results like reduced token leakage, but without disclosed funding terms, it's hard to gauge how much runway they have.

• Notalone Ventures brings experience in agent-driven economies and composable infrastructure.
• Prior backers include Router Protocol and Eigen Foundation, both focused on onchain data and scaling.
• The strategy targets DeFi risk models and AI agent trust without requiring identity verification.
• ZeruAI positions itself as open infrastructure rather than a closed analytics provider.
• Funding scale remains undisclosed, which limits how much we can assess here.

ZeruAI is betting that behavior will matter more than collateral as crypto matures and AI agents start transacting independently. Their stack handles data ingestion, feature transformation, and ML inference, with zScore as a public output anyone can query. Early revenue from European and Asian deployments suggests the model works, even if the undisclosed round size leaves questions.

Bottom line: The investment reflects continued interest in trust infrastructure at the DeFi-AI intersection, though we'll need more details to judge how meaningful this round actually is.