
3TEN8
AI-powered platform predicting wireless network operational failures.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor | €0.0 | round |
investor | €0.0 | round | |
investor investor investor investor investor investor investor | €0.0 | round | |
investor investor investor investor | €0.0 | round | |
N/A | Seed | ||
Total Funding | 000k |
Related Content
3TEN8 provides an AI-powered cloud platform that specializes in monitoring and analyzing wireless network activity to predict and prevent network outages and degradations. The company's technology is designed for mobile network operators, from Tier-1 carriers to smaller regional ones, to facilitate the transition to self-operating networks for 4G, 5G, and beyond. The platform uses deep learning and proprietary AI algorithms to diagnose network issues with a claimed accuracy of over 90%, helping engineers reduce troubleshooting time significantly. By processing billions of records daily, it can forecast network states 24-72 hours in advance, including performance, traffic patterns, and congestion.
The company was founded in 2014 by Miro Salem, Marcos Perreau Guimaraes, and Elica Rahdar. Miro Salem, the founding CEO, brought extensive experience from his time at Ericsson, where he was involved in launching the first 4G/LTE networks and held roles as a subject matter expert and technical advisor. His direct experience with the challenges of daily network operations inspired the creation of 3TEN8 to automate and improve network management. In 2017, the company secured $2 million in a seed funding round led by Social Capital, with participation from 500 Startups, Citrix, The Alchemist accelerator, and Amr Awadallah, the founder and CTO of Cloudera.
Keywords: network operations, AIOps, predictive analytics, self-healing networks, telecommunications, 5G, LTE, network monitoring, network automation, wireless networks, subscriber quality of service, network degradation, network outage prediction, machine learning, AI for telecom, network traffic analysis, cloud platform, network optimization