DataBahn.ai
Category: AI in Cybersecurity
A security-native data pipeline platform built for modern enterprise workloads. It uses Generative AI to build and manage data pipelines, helping enterprises manage and operationalize telemetry across security, observability, and AI ecosystems. DataBahn.ai was founded in 2023. The company is led by Nanda Santhana. Based in Plano, Texas, USA. Team size: 51-200. Total funding raised: $19,000,000.00. Latest round: Series A. Key investors include Forgepoint Capital, S3 Ventures, GTM Capital.
- Founded
- 2023
- Headquarters
- Plano, Texas, USA
- Team size
- 51-200
- Total funding
- $19,000,000.00
Value proposition
Reduces the complexity and manual effort in data engineering by using proprietary LLMs to automate the creation, management, and optimization of data pipelines, accelerating time-to-insight and reducing operational and data egress costs.
Products and solutions
AI Copilot for pipeline development, AI Assistant for data operations, Autonomous Data Observability and Governance, Phantom Agents for telemetry collection, Autonomous In-Stream Data Intelligence (AIDI), DataBahn Agent Farm (Forge, Atlas, Compass, Pulse, Signal, Sentry)
Unique value
DataBahn is a 'GenAI-native' and 'security-native' platform that uses its own proprietary Large Language Models (LLMs) trained specifically on enterprise data engineering patterns. It features 'Phantom agents' that collect telemetry without deploying traditional agents, enabling dynamic, self-healing, and context-aware data pipelines.
Target customer
Large enterprises, particularly security and data teams, seeking to automate and modernize their data infrastructure and reduce SIEM/infrastructure costs.
Industries served
Technology, Financial Services, Retail, Healthcare, Cybersecurity
Technology advantage
The core advantage is the proprietary LLM that automates complex ETL/ELT workflow generation, provides natural language-based operational assistance, and enables autonomous observability, significantly reducing manual intervention and infrastructure costs.
How they differentiate
DataBahn differentiates by being GenAI-native and security-first, focusing on autonomous, self-healing pipelines powered by proprietary LLMs and 'Phantom agents' that collect telemetry without traditional agents. Competitors often rely on more traditional low-code/no-code graphical interfaces or template-based automation.
Main competitors
Ascend.io, Matillion, Prophecy.io
Key partnerships
Snowflake, Databricks, Microsoft Sentinel
Notable customers
McAfee, Archaea Energy (a BP company), CSL Behring, ThinkOn
Major milestones
Closing a $17M Series A round in June 2025
Growth metrics
Secured early enterprise customers post-launch and has rapidly grown its team. Specific revenue and user metrics are not public.
Market positioning
Positioned as a next-generation, AI-first leader in the data engineering and integration market for enterprises wanting to leverage generative AI for maximum automation and security data management.
Geographic focus
Primarily North America, with plans for global expansion.
Patents and IP
No public patents are listed; the company's proprietary LLMs, 'Phantom agents', and automation processes are its core intellectual property.
About Nanda Santhana
Nanda Santhana is a seasoned cybersecurity leader with over a decade of experience in protecting enterprise information assets. He has a proven track record of architecting and deploying Big Data Analytics Solutions. His career includes roles at major technology companies like Oracle and Sun Microsystems, where he honed his skills in enterprise software and security. At Securonix, he was instrumental in building the company's threat research and data orchestration capabilities. He is a hands-on leader with deep technical expertise and a passion for building innovative solutions that address complex data challenges.
Official website: https://www.databahn.ai/