Powering Telangana with Agentic AI — presenting Vision Studio, Digital Twin Studio and Agent Studio for grid, asset, field inspection and predictive grid resilience at IIIT Hyderabad.
The Challenge
The EnergyTech Innovation Challenge is the first roadshow flagship event of the Invest Telangana Global Summit 2026, organised by the Department of Energy, Government of Telangana with AIKAM, IIIT Hyderabad and GDG Hyderabad.
It sources deployable agentic AI solutions for Telangana's electricity distribution ecosystem — solutions that integrate with real systems such as SAP, SCADA, GIS and metering, and can be piloted with TGSPDCL or TGNPDCL.
ACTORYX took part in the in-person Immersion Day at IIIT Hyderabad on 16 October 2026, presenting live demonstrations to utility and academic experts across two problem tracks.
Our Platform
Vision to see the asset, Digital Twin to understand it, Agents to act on it.
Computer-vision platform to build your own models and run them on imagery and video from drones, cameras and field inspections.
From physical asset to operational decision — live, clickable digital twins of networks, substations and energy systems.
Turns enterprise data into working AI agents that connect to SAP, SCADA, GIS and metering systems and orchestrate the workflow end to end.
Track 1 · Our Core Pitch
Four use cases, each mapped to the studios that deliver it.
Automated inspection of lines, poles and transformers from drone imagery, with defect detection and prioritised mitigation.
A digital twin of the distribution network to map feeders, simulate sectionalizing and plan load switching safely.
Assess rooftop and substation-level solar potential by combining imagery analysis with network and load models.
Vision-based quality checks on incoming material, with agents coordinating store delivery against SAP records.
Track 3 · Extending the Platform
The same three studios extend from inspecting the grid today to predicting and protecting it tomorrow.
Locate rooftop solar from imagery, model its impact on feeders and transformers, and let agents balance and coordinate distributed energy resources.
Simulate weather impact on the network to predict likely outages, then use agents to prioritise faults and dispatch crews.
Combine inspection findings with asset twins to score health, predict failures and generate mitigation plans before they become outages.
Immersion Day
From the Presentation
Programme Timeline
Interested in drone inspection, network digital twins or agentic automation for distribution operations? Let's talk.
Enterprise AI, Energy Intelligence & Digital Engineering — built for production.