01Public interactive demo

Verify embeddings across the systems they pass through.

Mnemo checks whether an embedding vector resolves to an object registered to your account or namespace as it moves through databases, retrieval and agent handoffs. Derived objects (summaries, chunks) can be recorded with verified lineage when you embed them with a parent (the HTTP API parent field; the Python SDK 3.1.2 does not expose it yet). Run a check to see a registered vector verify, and an unregistered one fail to verify.

Public interactive demo · Example data
Mnemo checks whether an embedding resolves to an object registered to your account or namespace after storage and system boundaries return it unchanged. See for yourself.
Scenario

Registered vector identity is found. The retrieved recommendation matches.

Trusted source
product_catalog.embedding
Registered Apr 14, 2026
Product vector: trail-running shoe. Attributes: waterproof, lightweight, neutral support, mountain terrain.
Result delivered
Retrieved · resolves to a registered object
Recommended product: waterproof lightweight trail-running shoe for mountain terrain.

Run a trust check to see whether the retrieved vector resolves to an object registered to this account.

Ready

Choose a scenario, then run the check. Mnemo shows whether a vector resolves to a registered object or fails verification.

02Want it on your stack?

Tell us about your pipeline.

We help your team verify the first pipeline, confirm fit, and define the path to production.

Typical setup takes less than a day.

Sandbox credentials
Issued within one business day for the first pipeline.
One scoping call
We pair on the integration to your existing model and store.
Scoped technical review
Joint review of fit, scale targets, and the path to production.
Demo request