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Oberik vs Cogni

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

Oberik compared with Cogni
DetailOberik logo Oberik Cogni
What it doesAgent layer for SaaS with grounded answers, sandboxed tools, and per-customer isolation Memory that reasons
StageNot given Not given
FoundedNot given Not given
Based inNot given US
Pricing modelFree Freemium
PricingFree during launch period. Customers pay their LLM provider directly for model usage at provider rates; Oberik does not markup or resell tokens. No credit card required, no usage meters tracked by Oberik itself. Free plan at $0 USD; Pro plan at $5 USD per month.
Key features
  • Document-grounded answers with page and quote citations
  • Linux sandbox environment for agent execution
  • Per-customer cost tracking and billing
  • Memory and wiki persistence across sessions
  • Scheduled and recurring work with durability
  • Capability-scoped JWT tokens enforced per-request
  • Support for custom tools and MCP servers
  • Multi-model support with bring-your-own-keys
  • Server-side prompt injection and PII screening
  • SSH dashboard interface for programmatic configuration
  • 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
  • Hard isolation between customers with no shared state or tenant leakage
  • Citations with document, page and quote provided automatically with every answer
  • Only two API calls needed to integrate grounded AI into any SaaS product
  • Customers never charged by Oberik; direct billing from their own LLM provider keys
  • 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)1 no change since last check4 no change since last check
Trust Flow (Majestic)22
Citation Flow (Majestic)2121
Referring domains (Majestic)1934

5 details filled in for both companies.

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