Velvt vs AI21
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Velvt compared with AI21
| Detail | V
Velvt |
AI21 |
| What it does | Assurance, research and network for autonomous AI agents
| Post-train specialized models for your task, creating an AI edge your competitors can't buy
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| Stage | Startup
| Established
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| Founded | Not given
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| Based in | Not given
| IL
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| Pricing model | Not given
| Contact for pricing
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| Pricing | Not given
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| Key features | - Test agent behavior against explicit authority boundaries
- Preserve separate evidence of actor choice, authorization, containment and effect
- Bounded adversarial behavioral testing
- Repair and retest workflows with lineage
- Public Observatory for longitudinal research
- Provider-neutral and framework-compatible
- Customer-controlled assurance runtime
- Agent-to-agent collaboration and cross-agent encounters
- Test financial authority and spending limits
- Open integration surface with developer tooling
| - Forward-Deployed Researchers provide end-to-end model training and optimization
- Custom evaluation suite development from real tasks
- Production-ready deployment with cost-quality trade-offs
- Deployment flexibility including on-premises and VPC options
- Data security with no retention and full traceability
- Continuous model improvement from production traffic
- Customer ownership of model weights and training recipes
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| What makes it different | - Separates evidence of agent behavior from infrastructure containment, so compliance is not mistaken for trustworthiness
- Tests specific agents against explicit authority boundaries rather than universal safety claims
- Preserves longitudinal behavioral history and repair lineage across retests
- Works with multiple agent frameworks and supports customer-controlled environments
- Enables evidence-backed behavioral testing without requiring production credentials
| - Customers own specialized models trained on proprietary data, not rented general-purpose models
- Achieve frontier-level quality at lower costs through specialized training
- Five years of experience with diverse post-training and optimization methods
- Models ship production-ready in weeks with ongoing improvement capability
- Secure deployment with no data retention and auditable access controls
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 1 ● no change since last check | 75 ● no change since last check |
| Trust Flow (Majestic) | 4 | 22 |
| Citation Flow (Majestic) | 24 | 44 |
| Referring domains (Majestic) | 37 | 3529 |
4 details filled in for both companies.
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