• Founding date


  • Current project stage


  • Product type


  • Sector

    Aerospace, CleanTech, Drones, Energy

  • Investment Ticket (USD)

    600 000 – 2 400 000

  • Investment type

    Venture Capital, Corporate Venture Capital, Private Equity, Investment banking, Public grant, Business Angel

  • Investment round


  • Business Model

    B2B, B2G

  • Source of current funding

    Founders, Friends & Family

Automated Visual inspection of overhead power lines

Technology for determining the condition of overhead power lines which, by using automation, aeronautics, IT and other technologies, autonomously carries out overhead power line diagnostics and detects failures and defects within the set deadline and without human involvement, as well as form an inspection report based on the latter. Currently, the electricity lines monitoring is cost and time consuming, inaccurate and often impossible to perform due to ongoing natural disasters. Lack of reliable data about past incidents and current state of crop leads to incorrect decisions. Developed technology is based on a fusion of images, Big Data and Machine learning for automatic risk detection. It uses scouting with drone, uploading the images, analysis of images, satellite risks maps, smartphone or photocamera. It saves time and money, increase objectivity and precision of risks detection and enables collection of historical data fr prediction analysis.

Annual Revenue (USD)

1 200 000

MRR - Monthly recurring revenue (USD)

100 000

Funding spent to date (USD)

120 000