The unsexy layer AI agents actually need: DataBahn raises $40m to sell it
The glamorous part of AI is the models. But the expensive, unglamorous task is feeding them the right enterprise data without breaking the bank. DataBahn has secured $40 million in funding, led by Insight Partners, to offer an "agentic data control plane" that manages what data AI agents can access. However, it faces competition from a crowded field and must prove its worth.
July 31, 2026 – 2:58 pm
DataBahn, a Texas-based company founded in 2023, has closed a $40 million Series B round led by Insight Partners, with Forgepoint, GTM Capital, and S3 Ventures also participating. This brings their total funding to $59 million.
They offer what they term an “agentic data control plane,” essentially a neutral layer between enterprise data systems and consumers like security tools, data warehouses, and AI agents. DataBahn routes and enriches only the necessary data while providing additional context on demand.
The rising costs of data management
The timing is no coincidence. Companies are generating vast amounts of telemetry, but their tools struggle to process it all. Rising cloud transfer fees, storage costs, increasing data volumes, and AI inference costs make moving everything impractical.
AI exacerbates the problem, as agents require current, well-structured, and governed data to function effectively. A control plane can determine what an agent is permitted to access and log changes made to data, which is crucial in regulated industries.
DataBahn’s solution moves intelligence into the pipeline. Their "data engineer," Cruz AI, monitors format changes in data sources and drafts updated parsers for human approval, eliminating manual connector building.
Market adoption
DataBahn’s product is gaining traction, with over 400% year-on-year revenue growth, 180% net revenue retention, and no customer churn. Fortune 100 companies in healthcare, finance, manufacturing, and transportation, including MVB Bank and the Canada Pension Plan Investment Board, already use it. They primarily sell through partners and integrate with Microsoft’s security stack.
Competing in a crowded field
However, DataBahn must compete against established players like Cribl, Splunk, and major cloud and security vendors who also offer data routing and storage services. Their strategy emphasizes neutrality, avoiding lock-in to specific stores, vendors, or models, which they will demonstrate at Black Hat next month.
The bigger bet is that the influx of AI infrastructure funding is shifting focus towards data management, not just model development. DataBahn aims to show that enterprises don’t need to collect more data; they need better governance for their existing data for AI applications.