DataBahn.ai, the security-native data pipeline innovator, announced it has secured $17 million in Series A funding to accelerate platform development and support global growth. This latest round, led by Forgepoint Capital with participation from S3 Ventures and returning backer GTM Capital, brings the company’s total funding to $19 million.
The new capital will fuel the evolution of DataBahn.ai’s platform toward agentic AI-autonomous agents designed to learn from real-time enterprise data flows and automate complex data engineering processes. The company is positioning itself as the foundational layer enterprises rely on for clarity, control, and composability in their data infrastructure.
Purpose-built for modern enterprise needs, DataBahn.ai is redefining how organizations manage telemetry across security, observability, IoT/OT, and AI environments. Its AI-native data fabric enables seamless, governed, and optimized data movement from any source to any destination-combining one-click simplicity with enterprise-grade oversight.
Unlike traditional streaming platforms focused solely on log transport, DataBahn’s next-gen architecture features Phantom agents that capture telemetry without conventional agents, minimizing infrastructure overhead. The platform intelligently parses, enriches, and filters data at scale, keeping egress costs in check. Its federated search supports persona-based insights, surpassing the limitations of SQL-based queries.
This innovation unlocks tangible benefits for diverse teams-security gains faster threat detection and streamlined compliance, IT improves outage prediction with advanced observability, and business units gain enhanced application visibility. Enterprises benefit from unified, AI-ready data pipelines that drive better outcomes across the board.
“Today’s enterprises don’t just need data pipelines; they need intelligent fabrics that adapt, govern and optimize data at scale,” said Nanda Santhana, co-founder and CEO of DataBahn.ai. “We’re building the foundation for a new era of observability, one where data is not just moved, but understood, enriched and made AI-ready in real time.”
In support of this mission, Forrester Research recently noted in a blog post that “data pipeline management tools can route, reduce, redact, enrich or transform data… With increasingly distributed and disparate systems, a purpose-built data pipeline tool is designed to address complexity of classification, integration and modeling data for analysis.”
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These capabilities are already being realized by enterprise customers across industries. Founded by veterans from cybersecurity, infrastructure, and financial services-including alumni of major security firms and consultancies-DataBahn has quickly become a trusted pillar in the modern data stack. In under two years, the platform has helped Fortune 50 and Global 2000 organizations cut telemetry processing costs by over 50%, automate key engineering workflows, and eliminate blind spots in SIEM, observability, and AI initiatives. Visit DataBahn.ai for more on customer success stories.
“Enterprises aren’t just overwhelmed by data volume; they’re being outpaced by its complexity,” added Santhana. “Our mission is to transform telemetry from a liability into a strategic asset by making data pipelines smarter, leaner and AI-ready from the start.”
As enterprise data creation surges-projected to hit 149 zettabytes in 2024 and climb to over 394 zettabytes by 2028-the need for intelligent, scalable telemetry solutions is more urgent than ever.
With the Series A close, Ernie Bio, managing director at Forgepoint Capital, joins the DataBahn board. “DataBahn is tackling one of the most urgent infrastructure challenges: how to manage and extract value from fragmented, fast-growing data streams,” said Bio. “What’s truly rare is the customer enthusiasm. We heard consistent praise for the platform’s rapid ROI, forward-looking innovation and the team’s responsiveness-qualities that separate great companies from the rest.”
Initially designed to address complex telemetry challenges in cybersecurity, IoT, and OT, DataBahn has matured into a unified control plane for enterprise-wide data. The platform now supports infrastructure and application workloads, meeting growing demand for visibility across the full data lifecycle.
“We didn’t set out to build just another pipeline. We built DataBahn to make data work for security and IT teams-not the other way around,” said Nithya Nareshkumar, co-founder and president of DataBahn.ai. “By combining deep domain knowledge with plug-and-play AI, we’re helping teams break through complexity and unlock insight from day one-no rewiring, no retraining.”
