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Reliability infrastructure built by roboticists and engineers.

We are building the layer that tells a robotics team whether a learned behavior is ready to ship, where it is fragile, and what changed when it regresses.

Robotics + embedded systemsAI + MLOpsHardware + pilot operationsUC Berkeley SkyDeck · Batch 22

The deployment problem is an evidence problem.

Learned policies make robot behavior probabilistic. A checkpoint can improve an average score while silently breaking one lighting condition, object pose or calibration band. That makes a demo insufficient for a release decision.

OORB turns run-level evidence into condition-scoped reliability, coverage gaps and regression findings. The goal is practical: give the team shipping the robot a baseline it can defend and a faster path to the next experiment.

The founding team

Four engineers across the full robot deployment stack.

The team combines autonomy research, embedded and electromechanical systems, full-stack AI infrastructure, MLOps, QA and pilot execution.

Portrait of Kayoum Djedidi
CEO · Co-founder

Kayoum Djedidi

Robotics and embedded-systems engineer, previously at Ubotica Technologies. Published researcher and PhD student at INRS Montréal working across telecommunications, mmWave sensing and robot autonomy.

Portrait of Bassem Gouty
CTO · Co-founder

Bassem Gouty

Full-stack AI engineer who built OORB's agent, retrieval, backend and cloud foundations. Previously at Shapes.inc and Ascendia AI.

Portrait of Asma Basly
COO · Co-founder

Asma Basly

Technical operator focused on cloud operations, QA, pilot execution and institutional integrations, with AI and MLOps experience across CERN OpenLab, Oratio, Satoripop and Enova Robotics.

Portrait of Azer Ben Abdallah
CPO · Co-founder

Azer Ben Abdallah

Electromechanical engineer leading hardware product design and deployment workflows. Previously at OceanQuest, building robotics and industrial hardware systems from first prototype through fabrication.

Technical range

Built across the boundary between software and the physical world.

Robot reliability is not only a model metric. It sits across the policy, runtime, hardware, calibration, environment and operating workflow.

01

Robot systems

Embedded engineering, sensing, autonomy research, electromechanical design and real-hardware iteration.

02

AI infrastructure

Agentic systems, retrieval, backend services, cloud operations, MLOps and quality engineering.

03

Deployment execution

Pilot operations, institutional integrations, calibration-aware workflows and industrial product delivery.

UC Berkeley SkyDeck
CompanyOORB Open Organic Robotics Inc.

Delaware C Corporation based in San Francisco · UC Berkeley SkyDeck Batch 22.

Work with us

Bring one learned behavior.
Leave with a reliability baseline.

We work with a focused number of pilot teams on release sign-off, field failure analysis and end-of-line yield.

Get a free audit todayor contact@oorb.io