We are seeking a non‑invasive, above‑ground solution to identify underground cable joints and accurately distinguish the correct live cable among closely spaced cables, without excavation or offline signal injection, to support safe and efficient excavation planning.

We are seeking a solution for reliable monitoring of electrical systems and field operations in low or no network environments, enabling secure offline operation, safety‑critical workflows, and seamless data synchronization once connectivity is available.

Preventing elephant electrocution by enabling wildlife-safe electrical distribution in forest regions through scalable, infrastructure-based solutions—such as intelligent monitoring, early detection, adaptive insulation, and automated safeguards—designed to operate reliably across remote and challenging environments without direct interaction with wildlife.

Sealed lithium-ion battery packs/cells based on LFP chemistry and prismatic cell format are stored at approximately 40% state of charge in a warehouse environment.We are seeking solutions that can provide early warning of thermal instability or potential fire risk in sealed lithium-ion batteries during warehouse storage and during transportation from supplier to factory.

Slag pots used in blast furnace operations are prone to crack formation due to extreme temperatures, thermal cycling, and mechanical stresses. Current manual inspection methods are subjective and may miss critical defects. The challenge is to develop an automated, non-contact solution to accurately detect, classify, and report cracks on slag pots in a high-temperature steel plant environment, enabling safer and more reliable operations.