Bussiness Ideas

Xolver Technologies Private Limited is building a Physical AI platform that enables industrial robots and machines to understand instructions, perceive their environment, reason about tasks and operate safely in real-world conditions. Conventional industrial automation depends on rigid programming, fixed workflows and highly controlled environments. Any change in the object, task or operating condition generally requires manual reprogramming and specialist intervention, limiting flexibility and increasing deployment costs. Xolver addresses this limitation through an integrated model-to-machine technology stack. Xolver Models provide perception, vision-language-action and world-model capabilities that help machines interpret scenes, understand natural-language instructions and propose appropriate actions. Xolver Nerve is the local machine-side runtime that connects these intelligence capabilities to the physical machine. Before an action is executed, the runtime evaluates it against defined operating constraints and safety limits. Xolver Console provides the application and governance layer for preparing, deploying, monitoring, replaying and improving machine workflows. The platform is designed to remain hardware-agnostic. It can be integrated with existing industrial robots and legacy machines through an edge deployment system, while also powering new AI-native robotic equipment. This allows manufacturers and machine builders to add intelligence without replacing their entire installed hardware base. Xolver has developed the underlying models, system architecture and core software components. The proposed prototype-development grant will be used to build and validate the first integrated Xolver Nerve prototype on an industrial robotic system. The prototype will demonstrate instruction understanding, scene perception, task reasoning, machine interfacing, pre-execution safety validation and controlled physical execution. Successful validation will enable subsequent industrial pilots and commercial deployments across manufacturing, logistics, inspection and other machine-intensive sectors.

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Startup Teams

• 1 Anubhav Srivastava (Founder)
• 2 Jitendra Kumar (Director)

Incubation Details

Not Incubated