Provably combines Zero-Knowledge protocols with AI agents to deliver cryptographically verifiable answers to database queries, ensuring users can trust the results derived from private data. This technology addresses the challenge of AI explainability by providing near-instant verification of AI outputs, eliminating the need for manual validation processes.
Funding
Funding not disclosed
Founders
Product
Problem
AI agents often lack transparency, making it difficult for users to trust the accuracy and reliability of their outputs, especially when dealing with private data. Validating AI-generated results typically requires manual processes, which are time-consuming and may not be feasible for large datasets.
Solution
Provably provides a solution for verifiable analytics on private data by combining zero-knowledge protocols with AI agents. This approach enables users to receive cryptographically verifiable answers to database queries, ensuring the trustworthiness of AI outputs. The platform allows AI agents to deliver accurate results supported by explanations and zero-knowledge proofs, which can be independently verified. By embedding these trustworthy results into AI interfaces, Provably enhances user confidence and facilitates legally compliant digital certificates.
Target Audience
The primary target audience includes enterprises and data owners seeking to enhance the trustworthiness and verifiability of AI-driven analytics on private datasets.
Features
- Agentic search functionality for identifying relevant data collections to answer queries.
- Support for natural language and SQL queries on private databases.
- Generation of zero-knowledge proofs to enable independent verification of results.
- Cloud-agnostic middleware that integrates with data sources such as PostgreSQL.
- Tools for data owners to curate private data into AI-friendly data catalogs.
- API access control for configuring permissions on data collections.
- Capability to run aggregate analytics and generate proofs locally without revealing raw data.