In the wild.
70+ examples. One primitive. Across industries and data flows.
Polymonial does a lot. These use case examples show how — across the flows your business already runs (a CSV, an API, an EDI feed, a healthcare record exchange etc) and the problems it already faces (proving compliance, sharing data with partners, migrating off legacy crypto etc). Filter by your sector, the data flow you have today, the theme you care about, or the problem you’re trying to solve.
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EXA15
PublicSector
Sovereign Training Data Provenance
Prove your sovereign model was trained on cleared, in-country data — without revealing the corpus.
EXA26
Insurance
Connected Vehicles
Telematics + V2V data flows under UN R155 / R156, AUTOSAR PKI, IEEE 1609 — Polymonial seals at the ECU so safe-driving proofs reach insurers without the full route, time, or behavioural pattern.
EXA29
Finance
Threat Intelligence Sharing
Sector ISACs exchange STIX 2.1 indicators over TAXII 2.1 — Polymonial wraps the bundle so cross-correlation runs across every member without exposing any single contributor's customer list, network map, or detection method.
EXA33
Universal
Cross-Chain Bridge
Move value between blockchains with cryptographic proof — not validator trust.
EXA45
Universal
Embedded Device PQC Readiness
Hundreds of millions of embedded devices — smart meters, connected vehicles, medical devices, industrial sensors, payment terminals — were deployed with classical cryptography baked into firmware. NIST has finalised the PQC standards (FIPS 203/204) and the migration runway has started. Polymonial is crypto-agile by design: each device migrates on its own schedule, and yesterday's signed reading still verifies tomorrow.
EXA57
Universal
Mobile App Telemetry
Your app uploads everything the user touches — Polymonial seals events so the backend gets analytics, not behavioural fingerprints.
EXA65
Insurance
Insurance Claims
Settle a claim in the browser — without the policy, the diagnosis or the loss report ever leaving the claimant.
EXA68
Universal
AI Act Compliance
Prove your AI system meets its regulatory obligations — without exposing the model or its training data.