Vectorize is infrastructure for agentic AI systems that do more than answer prompts—they retain context and build on past experience. It focuses on long-term agent memory and real-time data access.
Agent memory and learning from experience
The core product is Hindsight, a memory module for AI agents. It captures interaction context, extracts key facts, and surfaces them when they matter. This helps agents remember users, previous tasks, and past decisions.
Data layer for agentic systems
Vectorize is built around data: connecting sources, structuring and indexing information, and making it accessible through AI agents. Teams can use it as a foundation for custom agents that navigate:
- Company knowledge bases
- Logs and operational data
- Historical interactions and decisions
Who it’s for
Vectorize is designed for product and engineering teams rolling out AI agents in:
- Customer support and product experiences
- Analytics workflows
- Internal tools and operations
By handling the memory and data layer, Vectorize lets teams focus on agent logic and user-facing workflows.
