Token Optimization 1

Persistent context layer for AI agents to connect and reason across business tools. Weavable is a persistent context layer designed for AI agents, connecting business tools like HubSpot, Jira, and Slack into a unified graph. Unlike standard Model Context Protocol (MCP) connections that provide point-in-time snapshots, Weavable maintains a continuous changelog and resolves entities across different platforms. This allows AI agents to reason more accurately with pre-processed, scoped, and ranked data, leading to significantly lower token usage and more reliable, deterministic outputs across real business workflows.