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Aguru vs Interlok

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Aguru compared with Interlok
DetailAguru logo AguruInterlok logo Interlok
What it doesAI execution infrastructure that turns mission-critical manual tasks into reliable, paid AI services Lockout/tagout for AI agents: risky actions stop, a person decides, and a signed record proves it
StageNot given Not given
FoundedNot given Not given
Based inNot given US
Pricing modelContact for pricing Freemium
PricingNot given Free: risk scan, 100 approvals per month, offline verification. Approvals: $99/month, unlimited approvals. Gate: $799/month (includes Approvals). Evidence: from $18K/year. Regulated: from $40K/year.
Key features
  • Job of Work Mapper: identifies valuable processes and maps required outcomes, steps, systems and stakeholders
  • Execution Engine: manages multi-week or multi-month workflows with fault tolerance, checkpoints and error recovery
  • Built-in stakeholder management: communicates with stakeholders across channels and escalates exceptions
  • Intelligence flywheel: captures execution data to benchmark models, improve accuracy and optimise costs
  • Small focused AI models in deterministic graph: reduces errors and cost vs single large models
  • Fully auditable and explainable execution
  • Durable execution engine with checkpoints and automated recovery
  • Risk scan of agent reach, capabilities and consequences
  • Policy-as-code for gating rules
  • Shadow mode to preview holds before enforcement
  • Human-in-the-loop approvals via console
  • Cryptographically signed audit ledger
  • Compliance framework packs
  • Inference receipts for model calls
  • GitHub merge check for agent-written PRs
  • Directory sync with Okta or Microsoft Entra
What makes it different
  • Handles multi-stakeholder workflows spanning days, weeks or months without requiring core product rebuild
  • Partners keep control of brand and customer relationships while using platform for execution
  • Usage-based pricing aligns fees with completed outcomes rather than features
  • Small focused AI models designed for accuracy and repeatability in high-trust workflows
  • Includes mapping stage to validate commercial viability before significant investment
  • Gates actions, not agents—routine calls pass through untouched
  • Low published latency overhead: p50 8ms, p95 25ms for allowed verdicts
Community votes00
DR (Domain Rating by Ahrefs)12 no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)80
Citation Flow (Majestic)290
Referring domains (Majestic)640

4 details filled in for both companies.

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