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Gradyent B.V. (Rotterdam, NL)Gradyent
Rotterdam-based AI platform that optimises heat and cooling networks through a real-time digital twin. It integrates geographic data, weather data and sensor data with physical models and AI to give operators insight into network conditions, predict faults and reduce CO₂ emissions. Clients are large European heat network operators.

- Provider based in the Netherlands
- Publishes certification/GDPR safeguards
Last checked: 3 November 2026 · How we check
Is this your tool? Fill in missing detailsWhat it does
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proprietary AI and digital twin models for district heating networks; cloud platform, segmented cloud environments per customer, ISO 27001 and ISO 9001 certified processes and GDPR (according to the provider, customer case); hosting location not stated; Dutch-based (Rotterdam). Many tools build on a large model from, for example, OpenAI or Anthropic. If in doubt, ask for the data processing agreement: it states where your data goes.
Questions about Gradyent
- Which AI model does Gradyent use?
- The maker of Gradyent does not disclose which AI model sits underneath. Proprietary AI and digital twin models for district heating networks; cloud platform, segmented cloud environments per customer, ISO 27001 and ISO 9001 certified processes and GDPR (according to the provider, customer case); hosting location not stated; Dutch-based (Rotterdam).
- How much does Gradyent cost?
- on request (B2B enterprise, heat network operators). Check the current price on the provider's website; prices change often.
- Who is Gradyent for?
- Gradyent focuses on renewable energy & energy transition. It suits tasks such as automatically generating roof designs and yield calculations, drafting quotes and subsidy calculations, and qualifying, following up on and scheduling leads.
- What should I watch out for with AI in renewable energy & energy transition?
- Client and project data (address, energy consumption, financing) are personal data under the GDPR. Only use systems with a data processing agreement and EU hosting; check whether cloud platforms use technical installation data for model training. Yield calculations and subsidy applications are binding, have a qualified installer verify all AI output before use. ISDE and SDE++ subsidy rules change regularly; link AI calculations to current subsidy sources.
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