| What it does | Agentic AI governance platform for regulated financial services
| AI agent observability, tracing and evaluation platform
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| Stage | Established
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| Founded | 2021
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| Based in | US
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| Pricing model | Contact for pricing
| Freemium
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| Pricing | Custom enterprise pricing based on model volume, governance complexity, automation needs, and deployment requirements.
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| Key features | - Real-time agent policy enforcement
- Automated model documentation
- Validation and testing automation
- Model inventory and lifecycle tracking
- Approval workflows and reporting
- Immutable audit trails with reasoning traces
- Multi-deployment support (cloud and on-premise)
| - Trace viewer showing model calls, tool calls, and retrievals
- Cost tracking per step with latency and token counts
- Root cause detection for failures
- Live streaming and replay of agent runs
- Automatic secret redaction before data transmission
- Semantic search across runs and steps
- Support for multiple frameworks and languages
- Evaluations and datasets for quality assessment
- Slack alerts and release gates
- Collaboration and code review tools
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| What makes it different | - Purpose-built for regulated financial institutions
- Unifies AI and traditional model risk management
- Proven results: 70% time savings and 90% cost reduction
- Audit-ready evidence generation for global regulations
| - One-line setup with automatic detection of model and tool calls
- Identifies first failure point instead of surface errors
- Per-step cost visibility with no monthly surprises
- Automatic secret stripping keeps sensitive data local
- No agent code rewriting required
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 40 ● no change since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 20 | 0 |
| Citation Flow (Majestic) | 37 | 22 |
| Referring domains (Majestic) | 300 | 1 |