About
Built to make asset condition visible before failure forces action
Reactive maintenance of telecom infrastructure is expensive and dangerous, and the condition of assets usually lives in scattered photos and people's heads. Whistle AI makes that condition visible and predictive, from ordinary field photos.
Mission
Infrastructure teams should know the condition of every asset and act before failure, without putting people in harm's way.
Approach
Domain depth over generic detection. Defensible evidence over headline accuracy claims. Human review on the high-impact decisions.
Posture
Pre-production, with the first reference deployment in progress. Honest about what is shipping, what is in pilot, and what is planned.
A telecom-first product, delivered under Eurokinisi
Whistle AI is delivered under the Eurokinisi group from Bucharest, Romania. The team brings field operations background together with applied computer-vision and platform engineering, and that combination shows up in the product.
We're not building a photo repository. We're building the telecom-specific inspection model around the detector: defect taxonomy, severity grading, urgency labels, historical comparison, Remaining Useful Life forecasting, and contractor green-light workflow.
The site, the product framing, and the deployment process are all designed for an enterprise telecom buyer who is rightly skeptical of AI claims and wants to see depth, posture, and evidence first.
Contact
- Part of the Eurokinisi group
- Bucharest, Romania
- contact@whistleai.eurokinisi.com
- +40 724 163 217