Less time reading. More time judging.
For startup and innovation programs within telecommunications companies. Inspired by the SK Telecom SKTCH project, this AI Judge prepares application assessments and interview questions for program reviewers.
Meet your AI EngineerAsterGrid
Network energy optimization
| Company / track | Current stage | AI score | Open |
|---|---|---|---|
| AsterGridAI for telecom services | Interview pending | 82 / 100 | |
| MoraSenseFull-stack AI services | Final report | 79 / 100 | |
| LoopSignalOpen proposals | Interview pending | 72 / 100 |
The business, at a glance.
Software that adjusts energy use at network sites using demand forecasts. A pilot report describes tests at two sites; the application proposes a wider rollout.
A defined network operations use case and a documented pilot give reviewers a concrete starting point.
1 of 3 sample claims needs follow-up. Review the evidence before deciding who progresses.
Every application. A clearer basis for judgment.
Move from a folder of submissions to a review workspace. Understand the business, check its claims, and assess it against the same criteria before the team makes the call.
Grounded in the work your specialists do.
SK Telecom · SKTCH
AI Judge for startup screening and evaluation
Read the SKTCH storyThe work behind the Engineer
The SKTCH team wanted to reduce the time spent judging startup applications. Reviewers had to read each submission, research its claims, and record their assessments before they could discuss which teams to take forward.
The AI Judge brings application summaries, external fact-checking, and criteria-based scoring into the same review. It prepares the evidence and questions that help the team make an informed selection.
Frequently asked questions
Find a starting point for your next conversation with us.
No. It prepares summaries, verification findings, and preliminary assessments. The review team decides who progresses and who is selected.