Loading organizations...
§ Private Profile · San Mateo, CA, USA
TuMeke Ergonomics is a technology company.
TuMeke Ergonomics offers an AI-powered platform for proactive ergonomic risk assessment in industrial environments. Utilizing computer vision and artificial intelligence, it analyzes worker movements to identify musculoskeletal injury risks. Operating without sensors, it provides immediate, data-backed insights, integrating human-factors science to enhance workplace safety.
Riley Noland and Diwakar Ganesan co-founded TuMeke in 2019, driven by traditional ergonomic method inefficiencies. Ganesan, a former Uber Software Engineer and Stanford alumnus, established the technical core. Their insight was that technology could significantly improve and scale workplace safety.
Safety professionals across manufacturing, logistics, and automotive utilize the platform, as do insurance partners. TuMeke’s vision centers on preventing occupational injuries, fostering safer, more productive workplaces by delivering advanced safety technology to the global frontline workforce.
TuMeke Ergonomics has raised $12.5M across 2 funding rounds.
TuMeke Ergonomics has raised $12.5M in total across 2 funding rounds.
TuMeke Ergonomics has raised $12.5M across 2 funding rounds. Most recently, it raised $10.0M Series A in December 2023.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Dec 1, 2023 | $10M Series A | Intel Capital | Canaan Partners, Cream City Venture Capital, Work Bench, Diego Oppenheimer | Announced |
| Oct 20, 2022 | $2.5M Seed | WEI LI TAN | Metagrove Ventures, OneValley Ventures, OVO Fund, Pirque Ventures, Reach Ventures | Announced |
TuMeke Ergonomics has raised $12.5M in total across 2 funding rounds.
TuMeke Ergonomics's investors include Intel Capital, Canaan Partners, Cream City Venture Capital, Work-Bench, Diego Oppenheimer, Wei Li Tan, Metagrove Ventures, OneValley Ventures, OVO Fund, Pirque Ventures, Reach Ventures.
TuMeke Ergonomics is an AI-powered platform that analyzes video footage from smartphones to assess ergonomic risks in workplaces, enabling safety professionals to identify and mitigate musculoskeletal disorders (MSDs) up to 20 times faster than traditional methods without needing wearables or sensors[1][2][4][5]. It serves industrial sectors like manufacturing, airlines, and chemicals, solving the problem of time-consuming manual assessments that disrupt production, while reducing injuries by up to 68%, boosting efficiency by 50%, and addressing the $54B annual cost of MSDs to employers[2][4][5]. Backed by $12.5M in funding including a $10M Series A, TuMeke has gained traction as a standard tool in US workers' compensation insurance and among global industrial firms[1][6].
Founded in 2019 in San Mateo, California, TuMeke emerged from the firsthand observation by co-founders Riley Noland, Diwakar Ganesan, and Zach Noland that traditional ergonomic assessments were overly difficult and time-consuming[1][2][6]. Drawing on expertise from Google, Stanford, and research institutions, the team developed an AI and computer vision solution to prevent workplace MSD injuries—30% of all recordable injuries—starting with a mission to make safety easy and cost-effective[1][2]. Early traction came from enabling rapid video-based risk identification without halting production, evolving into adoption by major brands and insurers[1].
TuMeke rides the wave of AI-driven workplace safety amid rising focus on employee well-being, remote assessments, and cost pressures from MSDs costing employers $54B yearly and $20K per case[2]. Its timing aligns with post-pandemic labor shortages and regulatory pushes for proactive ergonomics in high-risk industries like manufacturing and aviation, where traditional methods fail at scale[1][3][5]. By influencing the ecosystem—becoming a workers' comp standard and enabling data-driven interventions—TuMeke shifts safety from reactive to predictive, enhancing productivity for frontline workers globally[1][2].
TuMeke is poised for expansion with its $12.5M funding fueling platform enhancements and market penetration into more sectors like chemicals and beyond[6]. Trends like AI democratization, wearable-free tech, and ESG-driven safety mandates will accelerate adoption, potentially scaling to millions of workers as injury prevention becomes a competitive edge[2][4]. Its influence may evolve into industry benchmarks for AI safety tools, tying back to its core mission: making workplaces so safe and efficient that prevention is inevitable[1][2].