DataBahn.ai, creator of a security-native data pipeline platform built for modern enterprise workloads, announced it has raised $17 million in Series A funding. The round was led by Forgepoint Capital, with participation from S3 Ventures and returning investor GTM Capital, bringing the company’s total capital raised to $19 million.
The funding will accelerate the development of the DataBahn platform roadmap for agentic AI —autonomous agents that learn from enterprise data flows to automate data engineering tasks—and support global expansion as the company establishes itself as the trusted foundation for enterprises seeking clarity, control and composability in their data pipelines.
DataBahn.ai is setting a new benchmark for how modern enterprises manage and operationalize telemetry across security, observability, IOT/OT and AI ecosystems. The DataBahn platform delivers a dynamic, AI-native data fabric that allows organizations to seamlessly integrate, govern and optimize data pipelines from any source to any destination—with one-click simplicity and enterprise-grade control.
Unlike legacy streaming solutions that simply move logs, DataBahn goes further. Its new Phantom agents collect telemetry without deploying traditional agents, avoiding footprint bloat and preserving compute resources. Built on a revolutionary AI-driven architecture, DataBahn parses, enriches and suppresses noise at scale, all while also being mindful of egress costs. The platform’s new federated search capabilities deliver persona-based insights; it’s beyond just using SQL queries. For security teams, this means faster threat detection and streamlined compliance. For observability teams, better predictive analytics for IT outage prevention. For business teams, deeper application transaction visibility. For the enterprise as a whole, DataBahn unlocks the full value of data—without compromise.
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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 a blog post, Forrester Research observed that “data pipeline management tools can route, reduce, redact, enrich or transform data. The benefits of a purpose-built data pipeline tool are to reduce the data preparation necessary to interpret the streams of data and events specific to security insights. 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.”
It is the above set of benefits outlined by Forrester that the DataBahn platform presently provides to a diverse set of enterprise customers. The company was founded by seasoned leaders in cybersecurity, data, infrastructure and risk—including alumni of top security vendors, Big Four consultancies and global financial institutions. The DataBahn platform has rapidly become a foundational layer in the modern enterprise data stack. In under two years, the platform has enabled Fortune 50 and Global 2000 organizations to reduce telemetry processing costs by over 50%, automate the majority of their data engineering workloads and eliminate blind spots across SIEM, observability and AI pipelines. Read more about customers using DataBahn at https://www.databahn.ai/.
“Enterprises aren’t just overwhelmed by data volume; they’re being outpaced by its complexity,” said 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.”
The need for more intelligent data storage and analytics pipelines is an existential question for large enterprises. The total amount of data created, captured, copied and consumed globally is forecast to increase rapidly, reaching 149 zettabytes in 2024. Global data creation is projected to grow to more than 394 zettabytes by 2028.
As part of the Series A round, Ernie Bio, managing director at Forgepoint Capital, has joined the DataBahn.ai board of directors. “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.”
Originally designed to address the unique challenges of cybersecurity, IoT and OT telemetry, the DataBahn platform has rapidly evolved into a unified control plane for enterprise data. Its expansion into application, infrastructure and observability workloads reflects a growing demand for intelligent, end-to-end visibility across the modern 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.”
Source: PRNewswire