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Kanlet vs Kohnex Brain

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

Kanlet compared with Kohnex Brain
DetailKanlet logo KanletKohnex Brain logo Kohnex Brain
What it doesSemantic context layer that helps AI agents understand your business data accurately Expert reasoning for the AI you already use
StageMVP Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelNot given Paid
PricingNot given Pro: $29 per month (billed monthly) or $278.40 per year with 20% savings. Includes 3,000 queries per month, KB-DEEP and KB-CORE reasoning engines, all thinking modes, API key, and priority support. Custom plans available with negotiated query quota, dedicated support, and custom integrations.
Key features
  • Connects to 15+ data systems including Snowflake, Databricks, BigQuery, Redshift, dbt, Airflow, Tableau, Looker, Power BI and Postgres
  • Extracts structural metadata including databases, schemas, tables, views, columns and relationship lineage
  • Provides Web-UI, MCP server and REST APIs for accessing semantic context
  • Automatic incremental updates with configurable sync schedules from on-demand to daily or weekly
  • Role-level access controls and data classifications including PII, PHI and SPII
  • Only reads metadata without accessing or moving actual data from systems
  • Integrates with quality monitoring tools including Monte Carlo, Anomalo and Bigeye
  • Works with multiple AI models and clients (OpenAI, Claude, Cursor, VS Code, Gemini)
  • KB-DEEP and KB-CORE reasoning engines
  • All thinking modes included
  • MCP integration without workflow changes
  • API key for programmatic access
  • Priority and dedicated support options
  • Custom integrations for enterprise plans
  • 3,000 queries per month on Pro plan
What makes it different
  • Eliminates confident AI mistakes by grounding agents in semantic context instead of having them guess from table names
  • Reduces AI token costs and speeds up answers by resolving schema and joins once upstream instead of in each agent query
  • Ensures consistent answers across all agents and teams using the same definitions and business logic
  • Provides complete traceability and auditability of AI decisions with documented context and ownership
  • Enhances existing models without replacing them or requiring retraining
  • Single connection integrates with entire AI stack
  • Proven performance improvements on custom expert tasks
  • Generates sharper answers with fewer blind spots
  • Works with any compatible AI model without vendor lock-in
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)9 +1 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)10
Citation Flow (Majestic)2416
Referring domains (Majestic)293

3 details filled in for both companies.

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