Ketch Consent Management vs Relyance AI

Ketch Consent Management is a web platform for managing consent and discovering data across an organization. Consent capabilities include automatic blocking, consent records, advanced Google Consent Mode, IAB TCF support, and geographic targeting. The platform can discover structured and unstructured data, using machine-learning classification automation. Listed data sources range from SaaS applications, internal systems, code, and databases to data warehouses, data lakes, data platforms, third-party platforms, vendor contracts, and documentation. Deployment is hybrid, and API access is available. Pricing is organized around monthly unique-user allowances and integrations. The Free plan costs nothing and supports 5,000 unique users per month with two integrations while monthly unique visitors stay under 5,000. Starter costs $150 a month for 30,000 unique users per month and two integrations. Plus costs $499 a month, billed annually, for 100,000 unique users per month and two integrations. Pro is for more than 100,000 unique users per month, with no price listed. Ketch was founded in 2020 and is headquartered in San Francisco, California.

Relyance AI’s Lyo platform traces data journeys from code through cloud environments to AI models, with tools for data security, privacy operations, and AI governance. It inventories AI agents, models, RAG, and MCP, shows their permission reach, and can block over-scoped agents in CI/CD. The data security layer classifies sensitive information, monitors it in motion, and describes adaptive DLP enforcement at gateways. Privacy workflows use live data flows to automate data maps, records of processing activities, consent, assessments, and data subject requests. Its Data Exposure Graph connects data sensitivity, identity permissions, and agent behavior to surface connected threats. The company describes agentless coverage across code, cloud, data warehouses, identity providers, AI platforms, SaaS, and observability, naming integrations including GitHub, AWS, Snowflake, Okta, OpenAI, Salesforce, and Datadog. Deployment options are full SaaS, InHost within a customer’s VPC, and DirectConnect private link. Runtime actions such as masking or blocking requests are marked private beta. Pricing is on request; a trial is offered subject to eligibility criteria.