data-fabric
(8)
DataBahn
DataBahn is an AI-powered, security-native data pipeline and fabric platform that helps enterprises collect, enrich, orchestrate and optimize telemetry across security, observability, application and IoT/OT systems. Its agentic products - Cruz, Reef and Phantom agents - automate data engineering work, cut noise and reduce SIEM/telemetry costs by more than 50% while preserving visibility for security and IT teams.
Promethium
Promethium is a Menlo Park-based enterprise data company that builds an Instant Data Fabric - an agentic platform designed to give business users, analysts, and AI agents trusted, self-service access to data across hundreds of sources without first moving or centralizing it. Its federated query engine, 360 Context Engine, and conversational data-answer agent Mantra translate natural-language questions into governed SQL, metadata, lineage, and visualizations. Founded in 2018 by Kaycee Lai and now led by CEO Prat Moghe, the company has raised about $34.5 million to date, including a $26 million Series A led by Insight Partners.
Fabrix.ai
Fabrix.ai (formerly CloudFabrix) is a Pleasanton, California enterprise software company building an agentic operational intelligence platform. It lets organizations design, deploy, operate and observe AI agents across IT, network, security and business operations, anchored by a tri-fabric architecture of Data Fabric, AI Fabric and Automation Fabric. The company positions itself for the 'agentic AI era' with production-grade governance, explainability and human-in-the-loop controls.
K2view
K2view is an enterprise data company founded in 2009 and headquartered in Yokneam, Israel, with US operations in Texas. Its patented Data Product Platform is built on a proprietary micro-database technology that organizes fragmented enterprise data by business entity - a customer, order, product or loan - so each entity's data lives in its own encrypted, real-time, individually managed database. The approach powers data integration, test data management, data masking, synthetic data generation and, increasingly, AI-ready data pipelines that ground large language models and AI agents. K2view serves large enterprises in telecom, banking, healthcare, insurance and retail, including AT&T, Verizon, Vodafone and BBVA, and has raised roughly $43 million in funding.
LigaData
LigaData is a Silicon Valley enterprise AI and data company that helps regulated industries - primarily telecom operators and financial-services firms - turn siloed operational data into trusted, AI-ready intelligence. Founded in 2014 by Bassel Ojjeh and Krishna Uppala, it builds carrier-grade data products such as the Telecom Data Fabric, AI Fabric, SubscriberIQ apps and the Time Machine data-protection platform, plus managed and professional services. LigaData says its software supports 35+ communications service providers and hundreds of millions of subscribers worldwide, helping telcos transform 'from Telcos into Techcos.'
Zetaris
Zetaris is an Australian enterprise data company building an open, agentic data lakehouse that lets organizations query and prepare data across many disparate sources without moving or copying it. Founded in 2013 in Melbourne by Vinay Samuel and Jason Jaesung Jun, the platform uses federated, in-place querying with intelligent multi-engine routing (Spark, Trino, Presto, DuckDB) and a unified semantic layer to feed private, governed AI workloads. It positions itself as a control plane for enterprise AI rather than another business-intelligence tool.
Denodo
Denodo is a Palo Alto-headquartered enterprise software company whose flagship Denodo Platform pioneered data virtualization - a way to query data wherever it lives without copying it first. Founded in 1999 by Dr. Angel Vina out of research at Spain's University of A Coruna, the company now serves hundreds of large enterprises and has been named a Leader in Gartner's Magic Quadrant for Data Integration Tools for six consecutive years.
Nexla
Nexla is a unified data operations platform that turns fragmented enterprise data into AI-ready data products - called Nexsets - so analysts, engineers, and AI agents can integrate, transform, and govern data without writing code.