Verascient builds a living knowledge graph that aggregates a company’s scattered information—from emails and meetings to CRM data and internal expertise—and makes it instantly accessible to any AI tool the team uses, such as Claude, ChatGPT, or custom agents. By connecting these agents via its MCP platform, the graph provides up-to-date context for tasks, enabling background agents to automate work in email, Slack, and other environments. The system also lets teams capture repeatable processes as “skills” that any connected AI can execute, ensuring consistent use of institutional knowledge.
Funding
Funding not disclosed
Founders
Product
Problem
Companies often have critical information spread across emails, meetings, documents, CRM systems, and individual knowledge, making it difficult for AI tools to access up-to-date context and automate tasks effectively.
Solution
Verascient creates a continuously updated, append‑only knowledge graph that aggregates an organization’s scattered data into a single, queryable source. The platform connects large language models such as Claude and ChatGPT, as well as custom agents, to this graph via a secure MCP interface, allowing each AI to retrieve relevant context automatically. Background agents can act on email, Slack, or other tools in isolated sandbox environments, using the graph’s dynamic ontology to execute tasks and report results. Captured workflows are stored as reusable “skills” within the graph, enabling any connected agent to replicate the process without additional programming. The system preserves temporal changes, so agents can reason about historical states as well as current data.
Target Audience
Primary customers are mid‑size to large enterprises that rely on multiple AI assistants and need a unified, up‑to‑date knowledge base to automate workflows across sales, support, logistics, and consulting functions.
Features
- Living, append‑only temporal knowledge graph that ingests emails, meetings, documents, CRM records, and other enterprise sources automatically
- MCP‑based integration for Claude, ChatGPT, Codex, or custom agents, providing instant access to unified company context
- Sandbox‑executed background agents that perform tasks across email, Slack, and other tools while maintaining security isolation
- Skill capture mechanism that records repeatable workflows in the graph for reuse by any connected AI agent
- Dynamic, self‑reinforcing ontology that adapts to an organization’s terminology and structure without hard‑coded schemas
- OAuth 2.1‑secured API exposing the graph to all AI tools while enforcing access controls