Provably
Provably builds verifiable data infrastructure so AI agents can operate with cryptographic integrity across their full lifecycle. The company's SourceryKit product provides a verifiable database that proves query results are correct without SNARKs or circuits, keeping proofs around 1KB regardless of data size. This enables developers to embed expert agents directly into user workflows, combining user context with private product knowledge for faster issue resolution.
- AI Agents
- Developer Tools
- Artificial Intelligence
- Enterprise Software
- Cybersecurity
- Software Only
- Data & Analytics
Funding
Funding not disclosed
Founders
Product
Problem
AI agents increasingly act on data from databases and external tools, but there is no way to verify that the data they retrieve is accurate or that the query results have not been tampered with. This lack of verifiability creates risks for enterprises relying on autonomous agents for critical operations, where silent data corruption or incorrect query results can propagate costly errors.
Solution
Provably provides verifiable data and runtime verification infrastructure so agents and humans can collaborate with accuracy, safety, and integrity. The core technology, SourceryKit, runs on QEDB, a verifiable database that produces cryptographic proofs of query correctness without requiring SNARKs or custom circuits, with proofs remaining around 1KB regardless of data size. The platform creates cryptographic anchors of integrity across the agent lifecycle, from tool use and handoffs to cross-agent protocols, learning, and governance. SourceryKit enables developers to connect support, advisory, and product agents directly into users' harnesses, combining user context with private product knowledge for faster resolution and happier customers. The product includes integrations with services like Stripe, Shopify, and Ollama, allowing agents to operate in the environments where users already work.
Target Audience
Primary customers are engineering teams at companies deploying AI agents for customer support, advisory services, and product operations who need cryptographic guarantees about the data their agents act upon. The product is particularly relevant for enterprises running agents in production environments where data integrity is business-critical.
Features
- QEDB verifiable database that proves query results are correct without SNARKs or circuits, maintaining ~1KB proofs regardless of data size
- Cryptographic integrity anchors across the agent lifecycle including tool use, handoffs, and cross-agent protocols
- Connector architecture for embedding expert agents directly into user harnesses with integrations for Stripe, Shopify, and Ollama
- Runtime verification infrastructure for monitoring agent actions and flagging errors before they propagate
- Support for combining user context with private product knowledge in agent workflows
- Accepted research paper on QEDB at CCS 2026, indicating peer-reviewed academic validation of the core database technology