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Velvt vs fractal

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 fractal
Detail Velvt fractal
What it doesAssurance, research and network for autonomous AI agents Long-term memory for AI agents that organizes itself and corrects itself
StageStartup MVP
FoundedNot given Not given
Based inNot given SE
Pricing modelNot given Free
PricingNot given Personal: Free during early access. Unlimited memories, all agents with separate memories, no card required. Enterprise: On request, set up by the team for departmental organization with cross-department sharing and direct support.
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
  • Self-correcting memory that updates when facts change
  • Historical memory queries with time-based retrieval
  • Automatic topic organization and hierarchy
  • Separate memory for each agent with controlled sharing
  • Multi-agent support via MCP, REST API, or LangGraph
  • AES-256 encryption at rest and in backups
  • OAuth 2.1 authentication and API key management
  • Data export and deletion capabilities
  • 37 MCP tools with automated verification on every code change
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
  • Understands what changed, when it was true, and where it belongs - beyond vector database similarity
  • Never contradicts itself by automatically replacing outdated facts
  • Fully GDPR aligned with built-in privacy by design
  • Two-minute integration with Claude, ChatGPT, Cursor and any MCP client
  • Data stays in Europe on AWS eu-north-1 and never used for model training
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)1 no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)40
Citation Flow (Majestic)240
Referring domains (Majestic)370

4 details filled in for both companies.

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