
DataBahn
Databahn is an enterprise data management platform that uses AI to process security, application, and IoT/OT telemetry data. The company has raised $57M in funding and employs 120 people.
The growth story

DataBahn grew from 1 to 120 employees between 2022 and 2026, raising $57M along the way, most recently a Series B in July 2026.
About
Databahn provides a platform that collects, enriches, and orchestrates enterprise data for analytics, automation, and AI applications. It integrates with over 500 systems and aims to reduce SIEM and infrastructure costs while enabling real-time insights for security and IT teams.
The company, founded in 2024, has grown to 120 employees and secured $57M in Series B funding led by Forgepoint Capital, GTM Capital, Insight Partners, and S3 Ventures. Its rapid scaling suggests strong market demand for its AI-driven data pipeline solutions.
Founders and leadership
Engineering is the largest function at Databahn, accounting for 45% of the workforce. The company operates with a lean structure, maintaining a median tenure of just one year across its 120 employees.












The DataBahn org chart
Nanda Santhana (Chief Executive Officer) leads 59 mapped leaders with 11 direct reports. Click +N to expand a team; names link to the person’s public profile.
Departments, and which ones grew

Headcount by function: Engineering 56 (+75% YoY), Sales 22 (+175% YoY), Information Technology 8 (+14% YoY), Marketing 8 (+33% YoY), Entrepreneurship 7 (0% YoY), Finance 3 (+200% YoY).
Talent flow
Databahn's team draws heavily from cybersecurity and enterprise software backgrounds, with significant hires from Securonix, Symantec, and Qualys. Employees tend to move to diverse roles across tech companies, with no single dominant destination.

Most common previous employers of DataBahn staff: Securonix (21), Symantec (7), Qualys (6), CommerceIQ (5), Microsoft (5), Oracle (5). Former DataBahn employees most often moved to Hubble Money (1), LinkedIn (1), Adobe (1), Swoop (1), Reach Security (1), Consultational Awareness (1).
Alumni worth knowing






Web traffic

Traffic mix: 0% direct, 0% search, 0% social, 0% paid.
What this company is made of

Most common skills at DataBahn: SQL (44), Java (42), Python (Programming Language) (40), Amazon Web Services (AWS) (40), Cloud Computing (40), Leadership (39), JavaScript (33), Management (32).
Where the team actually sits

DataBahn people are concentrated in Maharashtra, India (28), Karnataka, India (13), Tamil Nadu, India (8), Texas, United States (7). 2 offices on record.
Search footprint
DataBahn attracts about 48 organic search visits a month, traffic worth roughly $0K a month if bought through ads. It gained 31 ranking keywords and lost 51 in the last period.
What employees say
- Compensation
- 5.00 / 5
- Career opportunities
- 5.00 / 5
- Senior management
- 5.00 / 5
- Work-life balance
- 5.00 / 5
Frequently asked
DataBahn has 120 employees as of September 2026.
DataBahn has raised $57M in total, most recently a Series B round in July 2026.
DataBahn was founded in 2024 by Nithya Nareshkumar.
Nanda Santhana (Chief Executive Officer) sits at the top of DataBahn's reporting structure, with 11 direct reports.
The most common previous employers of current DataBahn staff are Securonix (21 people), Symantec (7 people), Qualys (6 people).
Former DataBahn employees most often move to Hubble Money (1), LinkedIn (1), Adobe (1).
DataBahn attracts about 48 organic search visits a month, worth roughly $0K a month in equivalent ad spend.
The most common skills among DataBahn staff are SQL, Java, Python (Programming Language), Amazon Web Services (AWS), Cloud Computing.
DataBahn staff are concentrated in Maharashtra, India (28), Karnataka, India (13), Tamil Nadu, India (8).
DataBahn has about 56 people in Engineering, up 75% over the past year, as of September 2026.
DataBahn has about 22 people in Sales, up 175% over the past year, as of September 2026.
Computed from 112 current and 29 former DataBahn profiles, as of September 2026. Source: Crustdata.
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Every number on this page came from the Crustdata API. Point the MCP at a company and get the same org chart, alumni list and talent flow in one prompt.

