Enveil

Founded by Ellison Anne Williams in 2016

Perform secure searches and run machine learning models directly on encrypted data

Pricing model

Paid

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use Enveil to search, analyze, and train machine learning models on sensitive data without decrypting it first. It protects data in use across cloud environments, third-party databases, and decentralized silos. Organizations can cross-match watchlists, investigate financial fraud, and run analytics across international boundaries while keeping their queries and data completely private. By using homomorphic encryption and secure multiparty computation, it lets teams collaborate on regulated information without moving, copying, or revealing the underlying records to external partners or cloud vendors.

What Enveil does

Encrypt database queries before sending them to remote serversMatch suspect indicators against partner watchlist datasetsExecute machine learning evaluation on encrypted patient recordsAudit secure query access logs across distributed data nodesConfigure proxy layer endpoints for two-party encrypted computationQuery cross-border financial data stores without moving assetsSearch databases using homomorphic encryption without decrypting recordsProtect data while it is actively being computed and processedRun machine learning models on external datasets without exposing model IPPerform cross-jurisdictional watchlisting and anti-money laundering checksQuery third-party data sources without transferring or copying raw filesDistribute queries across multiple silos using secure multiparty computation

Pricing breakdown

Pricing model: Paid

Frequently asked

AWS

Google Cloud

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