Arunights · Risk Intelligence for Tokenized Collateral

 

Move faster, fund cheaper, win more mandates. Arunights gives institutions the real-time risk intelligence to deploy tokenized collateral with confidence — keeping curators satisfied, clients earning, and regulators reassured, without the operational overhead.

Risk Room
00:00:00Sample · Illustrative Data
PositionQualityHaircutTrend
TKN-MMF-A
4.2%
TKN-TBILL-2
2.1%
TKN-NOTE-X
6.8%

What we do

Arunights is the risk-intelligence layer for tokenized collateral. We assess and continuously monitor what legacy tooling can’t see — stale valuations, redemption gaps, liquidation failure, and concentration risk — so institutions can use tokenized assets as collateral safely.

Risk Assessments

Available Now

Curator-ready collateral risk assessments for tokenized assets. We evaluate backing, valuation and oracle reliability, redemption, liquidation, and concentration — and deliver a standardized risk view that issuers use to get listed and curators use to decide what to accept. One-off assessments, with ongoing monitoring available.

Monitoring Platform

Available Now

Continuous, agentic monitoring of tokenized collateral. AI agents price risk, catch drift, and flag breaches the moment they happen — with audit-ready compliance evidence. The same risk intelligence, delivered live and always-on.

How it works

On-chain Positions
Arunights Risk Engine
Alerts · Governance · Evidence
Ingest

Continuously reads tokenized collateral positions across chains and facilities.

Assess

AI agents value collateral, compute dynamic haircuts, score concentration & liquidity, and run scenario stress tests.

Act

Fires breach alerts with recommended limits, and generates audit-ready compliance evidence.

Product

Collateral Mobility

Real-time tracking and valuation of tokenized collateral across facilities. Dynamic haircuts for tokenized money-market funds, T-bills, and digital assets. Multi-chain wallet monitoring with concentration and liquidity scoring.

Risk Intelligence

An AI risk assistant for portfolio queries and scenario analysis. Collaborative stress testing — a “Risk Room” — for market shocks, liquidity events, and counterparty scenarios. Automated playbooks for breach alerts and limit recommendations.

Regulatory Automation

Pre-built rule packs across MAS, MiCA, and Basel III/IV. A policy-as-code framework for custom governance. Continuous monitoring with audit-ready evidence packs.

Private Infrastructure

Built for permissioned environments; integrates private and public chains. Cryptographic attestation and a full audit trail of every collateral movement and policy decision.

Built onNext.jsTypeScriptSupabase / PostgreSQLFastAPILangFlowThe Graph

Market

Tokenized real-world assets — money-market funds, bonds, and structured products — are moving from pilots to production in institutional finance. As they unlock collateral utility, the missing layer is intelligence: valuing, monitoring, and governing them as collateral, continuously.

Arunights is built for that layer, at the moment the market needs it.

Nasdaq’s own research finds 25% of institutional collateral — over $35 billion — sits trapped because risk systems can’t see across positions in real time. Arunights is that real-time view.

Research

Arunights’ risk models are grounded in original quantitative research on counterparty risk in tokenized real-world-asset markets — the same work that defines how the engine prices and monitors exposure.

View all research

Founder

Dhruv Aggarwal

Dhruv Aggarwal

Founder

He works on counterparty and collateral risk in tokenized real-world-asset markets — the research foundation behind Arunights’ risk engine — and is the founder of JAYIC, a national pre-university investing competition run with JA Singapore and HSBC.

If you build, fund, or regulate tokenized markets — let’s talk.