Personize
Governed memory layer for AI agents that keeps context consistent, compliant and cheaper
Personize is a memory and governance layer for AI agents that turns customer data from CRM, emails, transcripts, tickets, and documents into a persistent, compact source of context. Rather than having agents re-fetch raw customer data for each task, authorized agents read from one shared memory, keeping context consistent across sessions and reducing token usage per task.
Access is provided through Skills, an MCP endpoint, a REST API, and an SDK, with integrations for tools such as Claude Code, OpenAI Codex, Cursor, HubSpot, and Salesforce. The platform includes unified customer memory, governance rules, graph signals, and document retrieval, and can be deployed in your own infrastructure through Personize Private or BYOC across major cloud providers and databases.
Personize is aimed at teams building and operating AI agents across workflows and applications. Pricing follows a monthly usage model based on records memorized and agent recalls, with a free tier offering a limited number of records and usage credits, plus additional credits available to startups and novel agent use cases under stated terms.
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