Gradyent Tech Stack

Digital twin platform for district heating and energy grid optimization

Software Development Rotterdam 51–200 employees Privately Held

Gradyent operates a physics-based digital twin platform for heating and cooling infrastructure, built on multi-cloud (AWS, GCP, Azure) with Python, Kubernetes, geospatial tools (GIS, QGIS), and analytics libraries (Pandas, Polars, DuckDB). The stack reveals a data-heavy, infrastructure-first approach: the company is mid-migration to Kubernetes and actively scaling cloud-native deployment while managing sensor ingest from district heating networks across 35+ European cities. Hiring is skewed engineering-heavy with six senior roles open, suggesting both technical depth and velocity constraints as they onboard new heating networks and optimize platform costs.

Tech Stack 24 technologies

Core StackAWS Python Terraform CloudWatch Grafana Prometheus AWS RDS Java Node.js React MongoDB NumPy Pandas Kubernetes GCP Azure GIS Karpenter DuckDB Parquet Polars Git QGIS Excel

AdoptingKubernetes

What Gradyent Is Building

◆Challenges

Optimize cloud spend
Ongoing migration to kubernetes-based platform
High-volume sensor data integrations
Optimizing heat networks
Complex heating grids
Scaling platform globally
Lack of timely financial data
Rapid adoption of platform
Inaccurate forecasting
Onboarding heating networks

▲Active Projects

Onboarding heating networks
Ongoing migration to kubernetes-based platform
Cloud-native infrastructure deployment
Cloud security roadmap
Specialised heating and analytics consulting projects
Heat network simulation
Financial forecasting and budgeting
Business case development for growth initiatives
Cash management reporting
Data analysis and workshop facilitation

Hiring Activity

Accelerating15 roles · 6 in 30d

Department

Engineering

Sales

Finance

Seniority

Senior

Mid

Lead

Notable leadership hires: Cloud Lead

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About Gradyent

Gradyent builds a real-time digital twin platform that models district heating and cooling systems at scale, combining sensor data, weather feeds, and physics-based models with AI to help energy providers optimize grid operations and reduce CO2 emissions. The company works with major European energy operators across heating networks in over 35 cities. The platform enables operators to simulate future scenarios, lower operational costs, and achieve significant capital expenditure reductions. Gradyent is 130+ people including energy specialists, engineers, data scientists, and consulting alumni, based in Rotterdam.

HeadquartersRotterdam

Company Size51–200 employees

Hiring MarketsGermany

Frequently Asked Questions

What technology stack does Gradyent use?

Gradyent runs on multi-cloud infrastructure (AWS, GCP, Azure) with Python, Kubernetes, Terraform, and geospatial tools (GIS, QGIS). Data processing uses Pandas, Polars, DuckDB, and Parquet. Monitoring is handled by Prometheus, Grafana, and CloudWatch.

What is Gradyent working on?

Core projects include migrating to a Kubernetes-based platform, deploying cloud-native infrastructure, onboarding new heating networks, heat network simulation, and building a cloud security roadmap. They are also expanding financial forecasting and business case modeling for growth.