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Twindo

Twindo is a digital platform for renewable energy operations that helps wind energy companies plan, manage, and report on construction and maintenance projects. Its AI copilots validate field inspection data in real time, flag defects, and identify high-risk assets before they fail, and its field app works offline.

Traction 9/10
Amsterdam, Netherlands · HQ
Founded 202281K+ followers
  • Energy
  • Clean Technology
  • Artificial Intelligence
  • Software Only
  • AI Agents
  • Data & Analytics
  • Construction Technology
  • Enterprise Software
Updated 25 days ago

Funding

Raised to date

€1MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Est. $1.1M

across 1 round

IMSRESJ

€1M · Seed

Announced Jun 2025

Disclosed cumulative: $1.1M

Founders

3 founders

Jules Shertser

Co-Founder & CEO

Since Mar 2021 · 5 yrs 8 mos

Profile summary: GEV Group Rotor Blade Specialist

Guilherme Marinho

Amsterdam, Netherlands

Co-Founder & CRO

Since Jan 2022 · 4 yrs 10 mos

Profile summary: Indigo • Director, Head of AgFinance

Frank van Luijn

Amsterdam, Netherlands

Co-Founder & CTO

Profile summary: University of Amsterdam Bachelor's Philosophy

Product

Problem

Wind energy operators struggle to plan, manage, and report on construction and maintenance projects, and disconnected field teams and inaccurate inspection data lead to unpredictable operations. These gaps contribute to costly delays, cost overruns, and safety incidents.

Solution

Twindo provides a digital platform that streamlines renewable energy construction, maintenance, and inspection work across field and office teams. Its planning and project management tools use weather data and automated alerts to reduce downtime, and they give early warnings and predictions to help avoid delays and cost overruns. A mobile field application lets technicians record inspections, manage schedules, and control documents, including when no connectivity is available. AI copilots validate field data as it is entered, flag defects, and reduce the revisit cycle caused by human error. AI trend analysis identifies high-risk assets, and automated remedial planning converts inspection data into scheduled actions. Structured data and integrations with enterprise systems keep reporting accurate and give managers real-time visibility into project health.

Target Audience

Twindo targets wind energy companies and renewable energy operators, including field technicians, project planners, asset managers, and operations managers who manage construction, inspection, and maintenance work.

Features

  • Project planning that uses weather data and automated alerts to avoid downtime
  • Project management tools for staging and delivering projects with real-time health monitoring
  • Offline-capable mobile app with on-device AI for field reporting, schedule management, and document control
  • AI copilots that validate field data in real time, flag defects, and reduce revisit loops
  • Custom form builder with workflows, signatures, and data extraction for reporting
  • Integrations with Oracle, SAP, PowerBI, and Salesforce, plus AI trend analysis and automated remedial planning
This profile is AI-generated and may contain inaccuracies.