
DatologyAI
DatologyAI develops AI tools to optimize data selection for training deep learning models, reducing costs and improving model performance. The company raised $58M in Series A funding in May 2024 and employs 75 people.
The growth story

DatologyAI grew from 1 to 75 employees between 2023 and 2026, raising $58M along the way, most recently a Series A in May 2024.
About
DatologyAI creates algorithms that automatically identify and filter redundant or noisy data for training deep learning models. Its tools work across data types and do not require labeled data, making them applicable to various industries. The company focuses on enabling customers to train better models at lower costs.
Founded in 2023 and based in Redwood City, California, DatologyAI has rapidly scaled to 75 employees. Its $58M Series A round in May 2024 was backed by prominent investors including Adam D’Angelo, Aidan Gomez, and the Amazon Alexa Fund.
Founders and leadership
DatologyAI’s largest function is research, with 7 employees dedicated to this area. The company’s leadership includes founders with backgrounds in AI and machine learning, supported by a team spanning engineering and product development.











The DatologyAI org chart
Ari Morcos (CEO and Co-Founder) leads 14 mapped leaders with 9 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 42 (+100% YoY), Business Development 7 (-12% YoY), Research 7 (+600% YoY), Entrepreneurship 6 (0% YoY), Human Resources 4 (+100% YoY).
Talent flow
DatologyAI’s team includes alumni from Google, Facebook, Meta, and Amazon, with 6 employees each from Google and Carnegie Mellon University. Alumni have moved to roles at Arcee AI, Google DeepMind, and Snowflake.

Most common previous employers of DatologyAI staff: Google (6), Carnegie Mellon University (6), Facebook (6), Meta (5), Amazon (4), Microsoft (4). Former DatologyAI employees most often moved to Arcee AI (2), Google DeepMind (1), Melani Maheswaran (1), Preference Model (1), Snowflake (1), Patronus AI (1).
Alumni worth knowing
Hiring now
Web traffic

Traffic mix: 57% direct, 31% search, 2% social, 0% paid.
What this company is made of

Most common skills at DatologyAI: Python (Programming Language) (43), Java (28), Machine Learning (28), C++ (26), JavaScript (21), Research Skills (20), Data Analysis (20), SQL (19).
Where the team actually sits

DatologyAI people are concentrated in California, United States (30), San Francisco Bay Area (13), United States (8), Texas, United States (3).
Search footprint
DatologyAI attracts about 46 organic search visits a month, traffic worth roughly $0K a month if bought through ads. It gained 10 ranking keywords and lost 23 in the last period.
Frequently asked
DatologyAI has 75 employees as of September 2026.
DatologyAI has raised $58M in total, most recently a Series A round in May 2024.
DatologyAI was founded in 2023 by Ari Morcos, Bogdan Gaza, Matthew Leavitt.
Ari Morcos (CEO and Co-Founder) sits at the top of DatologyAI's reporting structure, with 9 direct reports.
The most common previous employers of current DatologyAI staff are Google (6 people), Carnegie Mellon University (6 people), Facebook (6 people).
Former DatologyAI employees most often move to Arcee AI (2), Google DeepMind (1), Melani Maheswaran (1).
DatologyAI attracts about 46 organic search visits a month, worth roughly $0K a month in equivalent ad spend.
The most common skills among DatologyAI staff are Python (Programming Language), Java, Machine Learning, C++, JavaScript.
DatologyAI staff are concentrated in California, United States (30), San Francisco Bay Area (13), United States (8).
DatologyAI has about 42 people in Engineering, up 100% over the past year, as of September 2026.
DatologyAI has about 7 people in Business Development, down 12% over the past year, as of September 2026.
Computed from 67 current and 17 former DatologyAI 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.








