Industry · SaaS
Graphs for SaaS products
The hard part of shipping a graph-shaped feature isn't the query — it's tenancy. One shared graph with a tenant_id property is one WHERE clause away from a very bad day.
A database per tenant, honestly priced
Instances start at 256 MB and bill by the second, so per-tenant isolation is viable from your first customer — and a paused tenant costs storage only.
Provisioning inside your signup flow
The control-plane API and Terraform provider create instances programmatically. Tenant onboarding becomes code you ship, not a ticket you file.
Isolation you can put in the security review
Separate credentials, storage and resource limits per instance. 'Each customer has their own database' is a sentence that ends the tenancy question.
Where to start
The solutions saas teams reach for.
Increase revenue
Recommendations
People who bought this also bought — computed live from the purchase graph, not from a nightly batch. Collaborative filtering as a two-hop Cypher traversal.
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Knowledge management
Documents, people, systems and decisions, connected and queryable. Full-text search finds the node; the graph explains its context.
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Agent memory
Give an agent a database it can query instead of a transcript it must re-read. One instance per agent or session, connected over MCP.
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~98.7%
token efficiency at 2,000 entities — see the footnotes above
Put your first graph up in a minute.
A free instance takes about a minute and no card. Write two MERGE statements, read them back, and you have a living graph — with provenance on every fact.
First-graph path
LiveCreate a free instance
No card. Ready in about a minute.
Connect your driver
bolt+ssc:// URI into the driver you already use.
Write two MERGEs
That's the entire shape of agent memory.
Point an agent at it
One MCP config block. No integration code.