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Kakunin vs Cogni

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

Kakunin compared with Cogni
DetailKakunin logo Kakunin Cogni
What it doesCryptographic identity and behavioral monitoring for AI agents in regulated industries Memory that reasons
StageStartup Not given
Founded2025 Not given
Based inUS US
Pricing modelFree trial Freemium
PricingStarter: $39/agent/month (minimum 5 agents, $195/month total); Professional: $99/agent/month (minimum 20 agents, $1,980/month total); Enterprise: custom pricing. 30-day free trial on all plans. Free plan at $0 USD; Pro plan at $5 USD per month.
Key features
  • X.509 certificate issuance via AWS KMS with private keys stored in HSM
  • Real-time behavioral monitoring and drift detection across eight risk dimensions
  • Content-risk scoring of agent outputs per EU AI Act Article 5
  • Automatic certificate revocation when risk crosses 0.85 threshold within 60 seconds
  • Compliance reports mapped to NIST AI RMF, NIST CSF 2.0, ISO 27001, MiCA, and EU AI Act
  • Public verification endpoint with sub-500ms response and no authentication required
  • OpenTelemetry (OTLP) export to Datadog, Grafana, Honeycomb, and Splunk
  • RFC 8693 delegation chains and signed forensics
  • Webhook event delivery with HMAC signatures and audit logging
  • AgentMail: verifiable email inbox per certified agent for regulatory communication
  • Entity-graph spreading activation for cross-vocabulary retrieval
  • Works with any LLM model
  • No LLM or GPU in retrieval path
  • Point-in-time and windowed recall
  • Timestamped memories
  • Fixed recall cost as memory grows
What makes it different
  • Only platform that issues cryptographic identity to deployed agents, monitors behavior in real time, and generates compliance reports as one unified product
  • X.509 certificates provide institutional trust standard used by banks and governments for 30+ years
  • Auto-revocation with sub-60-second SLA stops misbehaving agents without manual intervention
  • Content-risk scoring evaluates agent output language, not just actions, catching prompt injections and policy violations
  • Private keys never accessible; stored only in AWS KMS with cryptographic signing performed by KMS directly
  • Reaches answers across unrelated documents that share no keywords, where vector search scores zero
  • Deterministic retrieval with no model in the path, so results never vary between queries
  • Constant per-query cost regardless of memory size, even at 32,000 words
  • No infrastructure to run—no vector database, cluster, or GPU needed
  • Works with any model, so small local models gain the most from better retrieval
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)40 −1 (down) since last check4 no change since last check
Trust Flow (Majestic)92
Citation Flow (Majestic)3021
Referring domains (Majestic)25834

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