Datable.io

Based in the US, Datable. io specializes in AI-driven data pipeline solutions, enhancing data management for security and DevOps teams by optimizing telemetry data flow and reducing costs. Datable. io, founded in 2023, is headquartered in San Francisco, US, and provides AI-powered data pipeline solutions.

The company has successfully completed a single deal, with its most recent deal occurring on October 14, 2025, when Panther Labs Inc. acquired Datable Co. , Ltd. for an undisclosed amount.

The company was started by individuals with a strong background in technology and data solutions. Datable offers an AI-powered data pipeline solution specifically designed for security teams and DevOps. The platform automatically normalizes and routes telemetry data into a unified schema, alleviating challenges associated with unstructured logs. This functionality helps organizations filter, enrich, and optimize data for security, analytics, and storage tools, integrating seamlessly with over 100 sources and destinations.

Datable primarily serves engineering teams and security professionals in North America and Europe, focusing on industries reliant on observability and security measures. Datable operates on a subscription-based revenue model, where clients pay for access to its data pipeline services. The company engages in B2B partnerships to facilitate easy integration into existing systems. Pricing specifics are not disclosed, yet the offerings cater to a diverse clientele from startups to large enterprises, all seeking effective telemetry data management.

Following the acquisition on October 14, 2025, by Panther Labs Inc. , Datable aims to enhance its capabilities within a unified AI-powered security operations platform. This strategic move will integrate Datable’s telemetry pipeline capabilities, positioning the company for significant growth in providing comprehensive data solutions. The acquisition will enable rapid delivery of these enhanced offerings, targeting an expanded customer base in the security domain.