Hours of system-hopping to find answers left nothing for analysis. Employees now ask in natural language—instant, structured results.
Slovakia's largest electricity producer, operating nuclear, hydro, and renewable plants across Central Europe, with critical operational knowledge scattered across disconnected systems and years of accumulated technical debt straining IT service delivery.
Employees spent significant time searching multiple systems for information, leaving little time for actual analysis. Tracing relationships between...
“It took significant time to find items, leaving no time for actual analysis.”
Slovak electric utility operating nuclear, hydroelectric, and thermal power plants.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Slovenské Elektrárne's Knowledge search is part of this use case:
Related implementations across industries and use cases
Crews wasted time verifying safety docs. A GenAI assistant now serves instant, authorized answers, scaling to 4,000 technicians.
EU data rules locked out public AI; every doc and plan written by hand. Now one copilot searches emails, Slack, and docs—within EU borders.
Generic search couldn't speak nuclear; answers buried in licensing docs. Purpose-built AI now surfaces them in seconds, traceable to source.
Crews wasted time verifying safety docs. A GenAI assistant now serves instant, authorized answers, scaling to 4,000 technicians.
Acquisitions scattered critical data across 36+ companies. Now, a principal AI agent routes employee queries to specialized sub-agents.
350,000 track images reviewed by hand each month, always chasing failures. TrackDefectX now catches defects before they escalate.
Generic search couldn't speak nuclear; answers buried in licensing docs. Purpose-built AI now surfaces them in seconds, traceable to source.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Hours of system-hopping to find answers left nothing for analysis. Employees now ask in natural language—instant, structured results.
Slovakia's largest electricity producer, operating nuclear, hydro, and renewable plants across Central Europe, with critical operational knowledge scattered across disconnected systems and years of accumulated technical debt straining IT service delivery.
Employees spent significant time searching multiple systems for information, leaving little time for actual analysis. Tracing relationships between...
“It took significant time to find items, leaving no time for actual analysis.”
Slovak electric utility operating nuclear, hydroelectric, and thermal power plants.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Slovenské Elektrárne's Knowledge search is part of this use case:
Related implementations across industries and use cases
Crews wasted time verifying safety docs. A GenAI assistant now serves instant, authorized answers, scaling to 4,000 technicians.
EU data rules locked out public AI; every doc and plan written by hand. Now one copilot searches emails, Slack, and docs—within EU borders.
Generic search couldn't speak nuclear; answers buried in licensing docs. Purpose-built AI now surfaces them in seconds, traceable to source.
Crews wasted time verifying safety docs. A GenAI assistant now serves instant, authorized answers, scaling to 4,000 technicians.
Acquisitions scattered critical data across 36+ companies. Now, a principal AI agent routes employee queries to specialized sub-agents.
350,000 track images reviewed by hand each month, always chasing failures. TrackDefectX now catches defects before they escalate.
Generic search couldn't speak nuclear; answers buried in licensing docs. Purpose-built AI now surfaces them in seconds, traceable to source.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.