DataBahn

DataBahn is an agentic data control plane that sits between enterprise telemetry sources and the SIEM, data lake, observability stack or AI model that consumes them. It ingests from more than 600 sources, normalizes to OCSF, and uses AI agents to reduce volume 40-70% before anything is billed downstream. It is built for security, observability and AI platform teams at large enterprises drowning in log and telemetry cost.

DataBahn is an agentic data control plane that sits between an enterprise's telemetry sources and every system that consumes them - SIEM, data lake, observability stack, and increasingly AI models. Founded in 2024 and headquartered in Dallas, Texas, it collects from more than 600 sources through built-in connectors, agents and agentless methods, normalizes output to the Open Cybersecurity Schema Framework, enriches it in flight, and routes governed data to any destination. Its differentiating architecture is Autonomous In-Stream Data Intelligence (AIDI), which analyzes, validates and acts on records while they move through the pipeline rather than after they land, so filtering, threat-intelligence enrichment and cost-based routing all happen before data is billed downstream. Cruz AI acts as an agentic data engineer that watches source schemas, detects format changes and generates updated parsers and mappings through an approval workflow instead of manual integration rebuilds. Reef maintains a live knowledge graph that turns raw identifiers such as IP addresses into context - device, owner, blast radius. At Black Hat USA 2026 on August 4, DataBahn added Federated Search and Orchestration, letting teams query every connected source in place using natural language, plus Lumen, an investigation agent that returns cited timelines, and an MCP Hub that gives AI agents a single governed, audited gateway to enterprise data. The company reports 40-70% telemetry volume reduction, 400% year-over-year revenue growth, 180% net revenue retention, and Fortune 100 customers including MVB Bank and Canada Pension Plan Investment Board. It raised a $40M Series B led by Insight Partners in July 2026, bringing total funding to $59M.

Category

Data & Analytics

Pricing

Subscription, Contact for pricing

Target Market

CISOs, CIOs, CTOs, Security Engineers, Data Engineers, Enterprise Developers

Deployment

Cloud-first, Self-hosted, Hybrid, Multi-cloud

Founded

2024

Headquarters

Dallas, Texas, United States

Team Size

51-200

Customers

Fortune 100 and Fortune 500 enterprises across healthcare, financial services, manufacturing and transportation; exact count not disclosed

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  Autonomous In-Stream Data Intelligence (AIDI)

  Analyzes, validates and acts on telemetry while it moves through the pipeline, applying governance, enrichment and routing decisions before data reaches any billed destination.

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  Cruz AI agentic data engineer

  Monitors incoming source schemas, detects format drift and generates updated parsers and mappings through an approval workflow instead of manual integration rebuilds.

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  Reef live knowledge graph

  Turns raw identifiers such as IP addresses into contextual entities - device, owner and blast radius - so investigations start with meaning rather than logs.

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  Federated Search and Orchestration

  Launched at Black Hat USA 2026, it runs natural-language search across every connected source in place, with no data movement or duplication required.

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  Lumen investigation agent

  Accepts plain-language threat-hunting and forensics questions and returns a cited investigation timeline grounded in the customer's own environment.

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  MCP Hub governed agent gateway

  Gives AI agents one audited entry point to enterprise data with full audit trails, instead of granting each tool its own direct access.

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  600+ source connectors with OCSF normalization

  Collects via connectors, agents and agentless methods, then standardizes everything into Open Cybersecurity Schema Framework for vendor-neutral downstream consumption.

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  SIEM cost reduction

  A security team routes all telemetry through DataBahn first, applying built-in reduction rules to cut ingest volume roughly 50% within fourteen days.

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  SIEM or data lake migration

  An enterprise switching security platforms re-points destinations in the pipeline rather than rebuilding hundreds of source-specific collection and parsing integrations.

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  Grounding AI agents in enterprise telemetry

  AI agents query governed data through the MCP Hub, so every agent access is authorized and audited instead of bypassing security controls.

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  Threat hunting without a query language

  An analyst asks Lumen a plain-language question and receives a cited timeline, removing the need to learn each platform's separate query syntax.

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  Schema drift resilience

  When a vendor changes a log format, Cruz AI detects the change and proposes updated parsers, preventing the silent data loss that normally follows.

No list pricing is published. DataBahn sells an annual subscription tiered by ingested data volume, feature set and user seats, and goes to market heavily through partners and an MSSP program, so quotes are negotiated per deal. Buyers should model licence cost against the SIEM ingest savings the reduction rules actually deliver in a proof of concept, since the vendor's 40-70% reduction claim is self-reported and not independently audited.

This page was written from 6 sources, 5 on domains other than databahn.ai.

1. 1.siliconangle.com — databahn raises 40m ai agents queue enterprise telemetry
2. 2.unite.ai — databahn raises 40m to build an agentic control layer for en
3. 3.techstartups.com — ai infrastructure startup databahn raises 40m series b to bu
4. 4.prnewswire.com — databahn launches federated search and orchestration to brin
5. 5.peerspot.com — databahn reviews
6. 6.databahn.ai — databahn.aivendor