
Sensable is a vision AI-based solution that provides continuous visibility into workforce interactions with machines and materials across all shifts and environments. It enables rapid time studies, continuous monitoring of best practices, safety and ergonomics analysis, machine outage analysis, parts quality checks to reduce waste, and robotic deployment analysis. Sensable offers affordable custom solutions with demonstrable ROI and quick time to value, starting with just one or two cameras. Their platform can be deployed as a fully local or cloud-based SaaS solution, integrating edge cameras with servers for intelligence across web, mobile, and APIs. The no-code technology allows users to define and monitor custom activities by combining proprietary AI models with advanced activity composition. Sensable provides rich analytics, activity timelines, and clip management for various use cases including time studies, machine monitoring, EHS, custom models, and parts inventory & dimensioning.

Sensable is a vision AI-based solution that provides continuous visibility into workforce interactions with machines and materials across all shifts and environments. It enables rapid time studies, continuous monitoring of best practices, safety and ergonomics analysis, machine outage analysis, parts quality checks to reduce waste, and robotic deployment analysis. Sensable offers affordable custom solutions with demonstrable ROI and quick time to value, starting with just one or two cameras. Their platform can be deployed as a fully local or cloud-based SaaS solution, integrating edge cameras with servers for intelligence across web, mobile, and APIs. The no-code technology allows users to define and monitor custom activities by combining proprietary AI models with advanced activity composition. Sensable provides rich analytics, activity timelines, and clip management for various use cases including time studies, machine monitoring, EHS, custom models, and parts inventory & dimensioning.
What they do: Vision AI platform for industrial engineering to monitor workforce, machines, quality, safety, and time studies
Founded / HQ: Founded 2020; Palo Alto, California
Founders / leaders: Anurag Maunder (Founder, CEO) and Alex Kushnir (Co‑founder)
Team size: About 11–50 employees (profile lists 12)
Funding: At least one early-stage round reported; public profiles list investors (amounts not disclosed)
Industrial engineering workflows, time-and-motion studies, manufacturing floor monitoring, EHS (environment, health, and safety), quality inspection, and machine monitoring.
2020
Artificial Intelligence; Industrial Engineering; Manufacturing analytics
Public profile lists a Pre-Seed round dated Sep 1, 2024 with amount obfuscated.
Dealroom and other profiles record a Seed entry around Feb 2020; amounts and lead investors not disclosed in available summaries.
“Root Ventures and Right Side Capital Management are listed on public profiles as backers”