In a bold move to redefine how enterprises harness and manage the explosion of telemetry data, DataBahn.ai has announced a $17 million Series A round led by Forgepoint Capital, with participation from S3 Ventures and returning investor GTM Capital. The funding brings the company’s total raise to $19 million and positions it as a key player in the future of AI-native data infrastructure.
Founded by cybersecurity and infrastructure veterans, DataBahn.ai delivers a next-generation data pipeline and fabric platform designed to optimize and enrich real-time telemetry for security, observability, and enterprise AI. Its signature offering—a dynamic, security-native data fabric—integrates and automates pipeline management while significantly reducing cost and complexity.
What sets DataBahn.ai apart is its introduction of Phantom agents, which collect telemetry without deploying traditional software agents, thereby preserving compute efficiency and reducing footprint. This is paired with an AI-powered architecture capable of parsing, enriching, redacting, and intelligently routing enterprise data at scale. These innovations have already allowed several Fortune 50 and Global 2000 clients to slash telemetry processing costs by over 50%, while also eliminating blind spots in SIEM, observability, and AI workflows.
“Today’s enterprises don’t just need data moved—they need it enriched, governed, and made AI-ready in real time,” said Nanda Santhana, Co-founder and CEO of DataBahn.ai. “We’re not just reducing noise in data—we’re giving teams clarity, composability, and control.”
The company’s federated search tools allow insights tailored by user persona—from IT and SecOps to business analytics—transforming traditional query-based data mining into proactive, actionable intelligence. Meanwhile, its AI agent Cruz enables full automation of data engineering tasks that would traditionally take days, reducing them to minutes.
“We didn’t set out to build just another pipeline,” added Nithya Nareshkumar, Co-founder and President of DataBahn.ai. “We’re building a platform where data is adaptive, intelligent, and fundamentally serves the teams that rely on it.”
The impact and reliability of DataBahn.ai‘s platform are echoed by early adopters such as CSL Behring. Greg Stewart, Senior Director of Cybersecurity and Threat Intelligence at CSL Behring, described the platform as “transformative,” citing its ability to shift data from a cost center to a strategic asset.
Industry leaders agree. Chris Inglis, former U.S. National Cyber Director and cybersecurity advisor to the President, stated that DataBahn.ai represents “a critical advancement in scalable security data management,” commending its ability to automate and optimize insights from fragmented data sources.
Editorial Insight: DataBahn.ai Is Positioned to Reshape the Future of Enterprise Data Infrastructure
The challenge of managing massive, fast-growing telemetry streams isn’t just a technical inconvenience—it’s becoming a strategic risk for enterprises navigating cybersecurity, AI, and observability. The global explosion of data requires infrastructure that’s intelligent, automated, and adaptable at its core. In that regard, DataBahn.ai isn’t following trends—it’s architecting what next-generation data environments must look like.
What makes the company’s direction particularly compelling is its foundational focus on security-native design and agentic AI, rather than treating those elements as bolt-on features. That foresight positions DataBahn.ai not only as a utility for engineering teams, but as an enabler of enterprise-wide transformation—where insights can be acted on in real time, costs are managed at scale, and control doesn’t require compromise.
The team’s rapid traction among major enterprises and ability to automate traditionally manual data engineering workflows underscore a strong product-market fit. In a space crowded with legacy systems and incremental tools, DataBahn.ai offers a rare combination: architectural elegance, operational impact, and future-ready thinking.
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