What it sells
Memory and continual-learning infrastructure for AI agents, available via API, plugins and MCP.
Business model breakdown
Buyer: who owns the budget?
UnverifiedDevelopers and engineering leads building AI agents/apps who buy via API credits; larger orgs via sales for Enterprise.
Trigger: what makes them buy now?
UnverifiedAgents forget context across sessions and RAG is slow and token-heavy; teams want persistent per-user memory that works across models.
Workflow: what inputs become what output?
Raw data (chats, files, URLs) is sent to supermemory; learner-1 updates, merges, infers and forgets against a memory database; results are injected into the agent context in real time via API, plugins or MCP.
Economics: what it saves and how it charges
Pay for what you use; only unique content billed; claims 100B+ tokens/month and 187ms median recall.
Distribution: how it reaches customers
Self-serve developer signup and console, plus Talk to sales for Enterprise.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| 2026-06-29 | — | $3M | — | news.google.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-13.