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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |