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Marked as Interested on Oct 22, 2024

AEROPROTECHNIK

The AI engine Fit Assessment

Beta

The company provides specialized software solutions and smart devices for solar farm management. For further information on the fit, check this reference

Blurb

Aeroprotechnik specializes in asset lifecycle automation, aerial inspections, and AI-powered solar analytics services.

HQ Location

Viseu (Portugal)

Founded

2014

Employees

19

Total funding raised

Not available

Last Funding Event

Not available

Smart insights

  • Catherine Msc (Chief People Officer) worked at Lilium as Head of People Business Partnering for 1.5 years (2021 - 2022)
  • Val Miftakhov (Founder & CEO) worked at Google in various roles, including Head of R&D, Google for Work Incubation, for a total of 4 years (2012 - 2016)
  • 6m headcount growth: 25%
  • 1Y headcount growth: 94%
  • Headcount-to-last-round ratio: 5.3 employees/$M

Aeroprotechnik is a leader inspection company that provides advanced Inspection and Digitalization services as well as proprietary software analysis tools.



Our mission goes beyond traditional Aerial inspections, we make sure our customers are GETTING THE MOST OUT OF THEIR ASSETS.





π“π„π‹π„π‚πŽπŒπ”ππˆπ‚π€π“πˆπŽππ’ 𝐈𝐍𝐬𝐒𝐭𝐞 - Enlightening Digitalization:

Proprietary Cloud Based Digitisation solution providing Telecommunications Cell tower companies and Operators the ability to Digitalize and transform their Asset based business.

Data Intelligence for Telco Infrastructures.

- Transforming efficiently huge amounts of data into insights leading to strategic business decisions leveraging Opex / CApex Optimisations.

- Bridging drone data capture and industry at scale.





π„ππ„π‘π†π˜ 𝐏𝐑𝐨𝐭𝐨𝐯𝐨π₯𝐭𝐚𝐒𝐜 ππ•π¬π¦πšπ«π­ - Aerial Thermographic Inspection and predictive analytics:

E2E Thermal (IR) solution for advanced quality assurance.

- AEROPROTECHNIK'S proprietary PVsmart (IR) inspection solution offers very cost effective, quicker and improved results for PV plant defect detection quantification, route cause analysis and predictive maintenance.