Streaming RWA
credit intelligence
ML-based models trained on both off and on-chain data to drive institutional adoption of tokenized real world asset credit investments
Pool parameter
recommendations
Optimise security and capital efficiency
Scorecards and
simulations
Automate credit decisions at exposure-level
Monitoring and
analytics
Share insights, monitor default probabilities
A vision for decentralized zkML credit intelligence
Why us
rwawise pioneers
on-chain credit modelling
Unique team combining decades of experience in TradFi, due diligence, lessons from the Global Financial Crisis, RWA tokenization since 2017 and machine learning credit modelling
Access to an custom datasets of both on-chain and off-chain credit portfolio data from our institutional partners
Roadmap to decentralize progressively both data provision and modelling through privacy-preserving technologies such as zkML
Trusted by
Fasanara | UntangledWho we help
Risk solutions help on-chain
credit ecosystem, DAOs and
protocols to scale sustainably
Lenders / Investors/ DAOs
- Evaluate risk/return before investment
- Simulate performance under stress scenarios
- Monitor portfolio performance
DeFi Protocols
- Seamlessly integrated with and streaming inferences directly into smart contracts
Borrowers / Issuers /Asset Originators
- Scenario analysis on pricing and structures
- Simulate performance under different structuring scenarios
- Demonstrate compliance with covenants without compromising privacy
Approach
The rwawise approach
Data: Unified credit models leveraging custome off and on-chain datasets
Modeling: Portfolio-specific machine-learning credit modeling and fundamental analysis
Validation: Quality and robustness of modelling against a set of performance criteria
Privacy-preserving technology:
- provably use data without revealing the details
- verifiable computation and inferences without revealing model algorithms and pipelines
Progressive decentralization: modeling and validation to be outsourced to (mined by) a community and autonomous agents
Our Roadmap
Roadmap to a decentralized
credit intelligence ecosystem
01: Data engineering and core model building
Engineer custom datasets and build machine learning models for key credit asset classes
02: Apply privacy-preserving technologies
Evaluate and incorporate zkML to both data inputs and model inferences03: Decentralizing modelling
Develop an ecosystem of modelers and output users (model consumers)
Contact our team
Tell us about your credit intelligence’s needs