About

A Robotics Startup Building Product Infrastructure Around Robot Deployments

Learn what ROBOFLOW AI does, the problems we solve for robot operations teams, and who is building the platform.

What ROBOFLOW AI Does

ROBOFLOW AI helps teams connect robot fleets, automate operations, surface incidents faster, and coordinate people, workflows, and business systems without rebuilding their robotics stack from scratch.

Robot teams often operate with fragmented tooling across middleware, dashboards, custom scripts, and business systems. ROBOFLOW AI brings those workflows into one product layer so teams can move from pilots to repeatable operations.

Who It Is For

Robot developers, robotics platform teams, and operators who need software to connect, automate, monitor, and improve robots already in the field.

Robotics programs increasingly need cloud software, workflow automation, observability, and integrations around the robots themselves. ROBOFLOW AI is built to sit above existing runtimes and help teams scale operations faster.

Current public stage: MVP / Beta

Team

The Founding Team

ROBOFLOW AI is built by a founding team with direct experience in robotics operations, enterprise software, and startup execution. The team is focused on delivering a product-led platform for robot developers and operations teams.

Kaushal Agarwal

CEO

Co-founder and CEO of ROBOFLOW AI with over 10 years of experience in robotics and enterprise software. Leads company strategy, product direction, and business operations. Brings deep domain knowledge in industrial automation, fleet management, and scaling robotics programs from pilot to production.

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John Dsouza

CTO

Co-founder and CTO of ROBOFLOW AI with 10+ years of experience building distributed systems, cloud platforms, and edge computing infrastructure. Leads the technical architecture behind the edge agent, cloud control plane, and integration layer that connects robot fleets to enterprise workflows.

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