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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.

Shared spot4of 16 professional tools with a GDPR profileOur summary of what the provider itself publishes about your data: whether the data is held in the EU (2 points), whether there is a certification or GDPR safeguard (1) and whether the provider is established in the Netherlands or the EU (1). 3 or 4 points is Strong, 2 Good, 1 Limited, 0 Unknown. How we measure in sustainable energy & energy transition
GDPR: Good
  • Provider based in the Netherlands
  • Publishes certification/GDPR safeguards

Each block is a professional tool in renewable energy and the energy transition, with the strongest GDPR profile on the left. 2 professional tools, like Gradyent, have a good profile too: they share this spot. Click through for that tool.

Priceon request (B2B)on request (B2B enterprise, heat network operators)
Free trialNone foundNot found on the provider's site when checked on 3 November 2026
Based inRotterdam, NLNetherlands
ModelNot publicproprietary 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)

Last checked: 3 November 2026 · How we check

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What it does

Real-time digital twin of the network
Real-time optimisation of the network
Simulations of future scenarios
For heat, cooling, steam and CO2 networks
Making use of flexibility in the network

Comparable in renewable energy & energy transition

All 16 professional tools for sustainable energy & energy transition

Gradyent compared

Underlying model

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.

GDPR check for renewable energy & energy transition
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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