Context Management: the business memory your AI is missing.

Stores what your metrics mean, which sources to trust, and how entities relate across your systems. The layer that lets any AI (ours, yours, Claude, ChatGPT) produce trustworthy answers grounded in your business.

Blueprint-style exploded technical illustration of the Humm AI operating layer.

How it works

Define.

What each metric means in your business. What "active customer," "expansion," or "at-risk" actually point to in your data.

Map.

How entities connect across CRM, support, product, and call recordings.

Serve.

Exposed via MCP, available to any LLM you use.

Key capabilities

Persistent business ontology

Persistent business ontology, configurable per customer.

Auditable answers

Auditable. You can trace why an AI answered the way it did.

MCP exposure

Exposed via MCP, compatible with Claude, ChatGPT, and other LLMs.

Shared business memory

Shared by Humm's agents and your enterprise AI subscriptions.

What it powers

Managed Data, Managed Agents, every Use Case.

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