Asset valuation
Pre-built AI pricing models are based on market data
You can build custom valuation models tailored to your asset types
Data sources
Data sources are limited to the platform's integrated feeds
You can combine structured and unstructured data from any source you choose
Dynamic pricing
Pricing is automated based on standard market factors
You can build fully customized AI-driven pricing logic around your needs
Risk assessment
Standard AI risk analytics are included and ready to use
Custom ML models are built for your specific risk profile
Fraud & AML
Monitoring and AML automation are built in
You can design detection logic using on-chain and off-chain signals
Anomaly detection
Standard anomaly detection is available out of the box
You can integrate advanced ML-based detection tuned to your data
Asset authentication
Standard verification checks are included
You can build more sophisticated AI-powered forgery and authenticity detection
Compliance automation
Automated monitoring for common jurisdictions is available and managed by the platform
You can build custom AI workflows for specialized or niche regulatory requirements
Regulatory AI
The platform keeps you aligned as regulations change
AI compliance and governance are your team's responsibility to maintain
Smart contracts
Pre-audited contracts with automated optimization included
AI-assisted custom development, but you own the audit process
Liquidity bots
Basic AI-powered liquidity management comes built in
You can build custom AI trading and market-making bots from the ground up
Market-making
Standard spread management is available
You can build adaptive AI-driven strategies that respond to market conditions
Behavioral analytics
Platforms offer basic analytics, sufficient for most standard use cases
You can set advanced ML-based analytics for deeper insight, but this requires a higher investment
Data scale
Platforms handle standard transaction volumes well
You can architect scalable systems optimized for high throughput and your expected load
Model training
General-purpose models are trained and maintained by the platform
Models are trained on your proprietary datasets and are yours to build
Explainability
Standard AI reporting included
You can implement custom explainable AI (XAI) and full audit trails, so you define what transparency looks like
Continuous learning
The platform handles model improvements over time
Your models adapt and retrain as your data evolves
Ongoing maintenance
The platform provider manages ongoing maintenance
Your internal team owns AI maintenance and upkeep
Integration effort
Minimal setup, as pre-integrated tools get you moving fast
Pipelines, models, and integrations all need to be built from scratch
Time to deploy
AI features are available from day one
4–8+ months before AI features are ready to ship
AI cost
Included in platform pricing, so no separate AI budget needed
You can expect higher development and infrastructure costs on top