Provably V1 Alpha is Here

Emanuele

Alberto

Shyam

Provably Alpha: The Future of Verifiable Analytics is Here

We’re thrilled to announce the release of Provably V1, introducing Verifiable Analytics on private data. With this release, data owners can easily connect Provably to their public databases and run private, verifiable queries using SUM and COUNT SQL aggregations.

Provably V1 simplifies the complex world of Zero-Knowledge (ZK) proofs, empowering you to manage access to your data with confidence, knowing it remains private. Future updates will enable you to provide API access for verifiable queries or invite insight seekers to run queries on selected tables.

Without Provably, collaborating over data is a nightmare. There are lots of problems and in this release we'll address 3 issues:

Giving You Control:
In just a few clicks, connect your database to Provably, select the tables you want to make available for analytics, and you’re done. In this release, only the party who connected the data can perform analytics, but the next update will introduce API access and email invites, allowing others to run queries on your data. We’re making sensitive data access management cloud and API-first with a streamlined workflow.
Automating Privacy and Delivering Fast Analytics:
Forget about lengthy data preparation like anonymization or encryption required by FHE (Fully Homomorphic Encryption). Since your data is never revealed, the insight seeker can quickly run SQL queries and get results—no more long meetings debating what data to mask or sending encrypted datasets back and forth.
Analytics with Verifiability:
Traditionally, analytics have been confined to enterprises where high trust levels exist among actors and networks. With Provably, a party can perform analytics on an outsourced database, trusting and verifying the results through cryptographic proofs. This is ideal for emerging data ecosystems where trust isn’t established through business processes, legal contracts and enterprise networks but through verifiable cryptographic proofs.

Provably V2 & QEDB: Verifiable Databases Without SNARKsProvably’s new protocol, QEDB, introduces a faster, simpler way to verify database queries without SNARKs. Built on specialized cryptographic data structures, QEDB supports complex SQL queries, scales to millions of rows, and produces constant-size proofs under 1 KB.

Nov 12, 2024 · Release

Provably V1.3 Alpha - Verifiable Analytics Network is HereProvably V1.3 is live! This release marks the debut of the Verifiable Analytics Network, connecting Data Owners with Insight Seekers as well as expanded SQL aggregation support.

May 05, 2024 · Release

Hello WorldFind a simple way to give proofs that information and analytics insights are created by aggregated queries on data stored in private relational databases.

We envision a world of interconnected Data Ecosystems, where collective intelligence drives smarter decisions. As we evolve, we’ll continue adding features that empower data owners to monetize their data and enable insight seekers to discover valuable data for faster, smarter decision-making.

Zero-Knowledge technology is both simple and powerful, enabling data privacy while delivering the insights that matter. Future releases will demonstrate how ZK can scale efficiently to handle larger, faster data.

We’d love to hear from you! How would you use Provably? If you have ideas for new features or use cases, please reach out to us.

Provably V2 & QEDB: Verifiable Databases Without SNARKsProvably’s new protocol, QEDB, introduces a faster, simpler way to verify database queries without SNARKs. Built on specialized cryptographic data structures, QEDB supports complex SQL queries, scales to millions of rows, and produces constant-size proofs under 1 KB.

Nov 12, 2024 · Release

Provably V1.3 Alpha - Verifiable Analytics Network is HereProvably V1.3 is live! This release marks the debut of the Verifiable Analytics Network, connecting Data Owners with Insight Seekers as well as expanded SQL aggregation support.

May 05, 2024 · Release

Hello WorldFind a simple way to give proofs that information and analytics insights are created by aggregated queries on data stored in private relational databases.