continuous-improvement
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iObeya
iObeya is a French enterprise SaaS company that digitizes the Obeya - the Lean 'big room' where teams manage strategy and operations visually. Its Digital Obeya Platform recreates the paper-on-the-wall experience of physical war rooms as connected virtual boards, letting multisite and hybrid teams run Lean rituals, Agile ceremonies, KPI reviews and problem-solving in real time. Founded in 2011 out of work with PSA (now Stellantis), iObeya is used by large industrial and regulated organizations such as Airbus, Thales, Sanofi and Schneider Electric to align leadership and frontline teams and accelerate decision-making.
Invisible AI
Invisible AI builds edge-based computer vision systems for manufacturing floors. Its self-contained camera devices - each pairing an Intel RealSense 3D depth camera with an NVIDIA AI chipset and on-board storage - mount to existing factory infrastructure and turn manual assembly work into structured, cycle-level data without sending video to the cloud. Founded in 2018 by veterans of the autonomous-vehicle world, the company helps automakers and aerospace manufacturers such as Toyota spot cycle-time variation, ergonomic risk, and quality defects in real time. In 2026 it launched what it calls the world's first Vision Execution System, built on NVIDIA Metropolis and Cosmos Reason models, to run AI agents that analyze every production cycle at the edge.
Rever, Inc
Rever is a San Francisco-based SaaS company building a Frontline Intelligence Platform that digitizes kaizen, audits, inspections and continuous improvement for industrial operators - turning everyday workers into a connected army of problem-solvers, with AI that surfaces hidden losses and replicates proven fixes across plants.
Judgment Labs
Judgment Labs is a San Francisco applied-research startup building the continuous-improvement layer for AI agents. Its platform and open-source SDK, Judgeval, trace, evaluate, and monitor 'deep agents' - systems that reason, plan, use tools, and remember - turning messy production data into measurable, repeatable improvements. Founded in 2026 by three childhood friends out of Stanford, it raised $32M in combined seed and Series A funding led by Lightspeed Venture Partners.