Kanlet vs RitualDev

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 RitualDev
Detail	Kanlet	RitualDev
What it does	Semantic context layer that helps AI agents understand your business data accurately	Autonomous AI Agent Defense, Sandboxing & Zero-Leak Studio
Stage	MVP	Not given
Founded	Not given	Not given
Based in	Not given	Not given
Pricing model	Not given	Freemium
Pricing	Not given	Community Core: Free (open-source CLI tools). Pro Individual: $15/month (includes native macOS & Windows GUI, cloud backup, priority endpoints). Team Cluster: $99/month base (for 5-50 developers). Enterprise Governance: Custom annual contract.
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	Native kernel sandboxing on Linux, macOS, and Windows Bubblewrap and Landlock on Linux Apple Seatbelt sandbox on macOS AppContainer isolation on Windows Real-time kernel telemetry in VS Code, Cursor, and Windsurf 1-click secret redaction with QuickFix Strict CIDR egress filtering Anti-exfiltration hooks for /proc and SSH keys Database wire proxy with virtual schema masking 96.7% token compaction with JIT disclosure
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	Zero-leak defense with OS-level kernel sandboxing across all three operating systems 96.7% token compaction reduces LLM context and billing costs 100% air-gapped offline-first architecture with zero telemetry Automated secret detection and redaction in real-time Free open-source Community Core with optional paid Pro and Enterprise tiers
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	9 +1 (up) since last check	2 +2 (up) since last check
Trust Flow (Majestic)	1	3
Citation Flow (Majestic)	24	21
Referring domains (Majestic)	29	16

3 details filled in for both companies.

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