TuMeke
Series ARaised Since FeaturedAI-powered workplace safety
Computer vision platform that automates ergonomic risk assessments to prevent workplace injuries.
About
TuMeke is an AI-powered ergonomic assessment platform that uses computer vision to identify and prevent musculoskeletal disorders (MSDs) before they cause injuries. Using just a smartphone camera, TuMeke's technology analyzes worker movements and produces risk assessments twelve times faster than traditional manual methods — without stopping production or requiring wearables. Founded in 2019 by Stanford graduates and ex-Google engineers, the company has grown to serve 250+ enterprise customers and built one of the largest movement-intelligence datasets in the world. Their clients report an average 68% reduction in MSD injuries and over $400 million in direct injury costs avoided. TuMeke raised a $10M Series A led by Intel Capital in December 2023, bringing total funding to $13.2M.
DailyDropout Take
TuMeke was one of our earliest discoveries — a Stanford-born team using computer vision to eliminate factory injuries without invasive wearables or production stoppages. The thesis was simple: if you can track human joints with a phone camera, you can prevent injuries before they happen. Three years later, Intel Capital led their $10M Series A, validating the approach with 250+ enterprise customers and a 68% average reduction in injuries.
Discovery signal: Stanford founding team with Google AI experience, novel smartphone-only approach to ergonomic assessment, early manufacturing pilots with paying customers
What Makes Them Unique
TuMeke requires only a smartphone camera — no wearables, sensors, or fixed cameras — achieving near-100% worker participation rates compared to under 50% for wearable solutions, while assessing risk 12x faster than traditional ergonomic methods.
250+
Enterprise Customers
68%
Avg MSD Injury Reduction
$400M+
Injury Costs Avoided
12x faster than manual
Assessment Speed
Target Markets
Founders
Riley Noland
Co-Founder
Stanford graduate and co-founder of TuMeke. Named to Forbes 30 Under 30 in Manufacturing & Industry (2024).
Zach Noland
Co-Founder
Stanford graduate and co-founder of TuMeke. Background in AI and computer vision technology.
Diwakar Ganesan
Co-Founder
Leads technical development at TuMeke. Previously conducted AI research at Stanford and worked on Uber's self-driving team.
Funding History
Lead: GSR Ventures
Lead: Intel Capital