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Velvt vs Mlola

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 Mlola
Detail VelvtMlola logo Mlola
What it doesAssurance, research and network for autonomous AI agents Reliable browser use with a fast path: deterministic mechanics, safety and verification, and a model asked only for judgement.
StageStartup Not given
FoundedNot given Not given
Based inNot given ID
Pricing modelNot given Not given
PricingNot given Not given
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
  • Observe page state in atomic passes without screenshots
  • Model picks operations only from compatible targets
  • Risk classification for payments, deletions, sends and secrets
  • Typed actions with freshness, visibility and occlusion checks
  • Append-only event log for replay and audit
  • Chrome automation through Playwright
  • Browser extension for agent isolation
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
  • Deterministic browser mechanics as default, models only for judgement and writing
  • Safety enforced through code boundaries, not prompt requests
  • Every step verified independently before proceeding
  • Cost measured by fast-path share on every run
  • Capabilities advertised honestly, imitation refused
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 check10 no change since last check
Trust Flow (Majestic)40
Citation Flow (Majestic)2427
Referring domains (Majestic)3728

3 details filled in for both companies.

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