CASE STUDIES

Your data & AI partner since 2018.

Discover how we’ve helped startups to corporates in a wide range 
of climate tech industries accelerating their AI & data journey

100+ Projects

Covering a broad spectrum of complex data & AI challenges.

300+ AI Use Cases

Working for innovative companies within the climate tech domain.

2 Hubs

Serving our customers from our offices in Utrecht and Berlin
Climate industries in which we operate:
Repowered
The role of ML Ops in the Energy Domain: scaling from 1 to 10 to 100 of ML forecasting models
JustWatch
Upgrading JustWatch's recommender from collaborative filtering to a taste-aware, production-ready AI system.
Wunderflats
Turning marketplace data maturity into production-ready ML that directly improves listing discoverability and match quality.
Prets
Building a multi-agent AI advisor that guides homeowners through complex, personalized energy upgrade decisions.
247TailorSteel
Optimize manufacturing with real-time AI waste reduction.
Beyond Weather
AI infrastructure to commercialize complex weather forecasting models from research to production environment.
PlanBlue
Building a production-grade AI backbone to turn hyperspectral seafloor imaging into actionable blue carbon insights at scale.
Sendcloud
Aligning sales, marketing, and customer success around a single ML-driven metric to unlock sustainable growth at scale.
CtrlChain
Built a scalable data, analytics, and ML platform with an FTL spot pricing model in under 12 months.
Shypple
Turning manual document-heavy logistics workflows into scalable, automated AI operations for a fast-growing freight platform.
Next Sense
Co-designing a multi-agent AI system with sustainability experts to scale building performance analysis without compromising quality.
CircularPSP
Turning fragmented municipal data into actionable circular economy intelligence for policymakers across Europe.
Crisp
Implement a new forecasting system for Crisp that improves prediction accuracy (WAPE) by >20%.
SnappCar
New ML Ops setup delivers 50% faster queries and significant cost reduction for peer-to-peer car-sharing platform.
Groendus
Build an AI forecasting system for Groendus that outperforms the benchmark for energy consumption.
Energy & Electrification

Power the future: Monitor. Predict. Optimize.

The renewable energy system of the future is highly distributed, volatile, and integrated. As energy consumption and generation fluctuate with the weather, renewable assets like batteries, EVs, and net congestion results in capacity constraints, companies must stay in control of their data, translate complexity into algorithms, and optimize their forecasts to battle volatility best.
Groendus
Build an AI forecasting system for Groendus that outperforms the benchmark for energy consumption.
Prets
Building a multi-agent AI advisor that guides homeowners through complex, personalized energy upgrade decisions.
Repowered
The role of ML Ops in the Energy Domain: scaling from 1 to 10 to 100 of ML forecasting models
OUR UNDERSTANDING OF Energy & Electrification

Better forecasting increase the certainty when optimizing energy assets. Real-time data of markets, weather, and assets play a fundamental role to outperform competitor’s algorithms and trade on day ahead, intraday, EPEX, and more. With a best-in-class ML ops set up, energy companies roll-out multiple energy forecasting models for different time horizons, different markets, and different profile granularities.

Renewable assets are at the hearth of the energy transition, from EVs to batteries and from heat pumps to batteries. Monitoring and steering these assets is critical. Through forecasting, companies can optimize their asset for commercial value, asset lifetime, and up time. Predictive maintenance is key to keep asset lifetime and uptime high. And monetizing over multiple energy intensive assets is becoming a more complex game.

Grid congestion and price spikes create new revenue opportunities for flexible assets. We develop algorithms that optimize charging and discharging cycles based on real-time market signals. By automating flexibility, we turn technical constraints into scalable financial value.

The energy transition is an immense logistical challenge that outpaces manual human oversight. We deploy agentic AI to digitize expert knowledge and automate repetitive diagnostic workflows. This allows your engineering teams to solve complex grid problems instead of managing routine data entry.

Mobility & transport

Decarbonize movement of people and products

The future of mobility is intelligent. We help logistics leaders and fleet operators turn fragmented data into efficient, automated operations.
SnappCar
New ML Ops setup delivers 50% faster queries and significant cost reduction for peer-to-peer car-sharing platform.
Shypple
Turning manual document-heavy logistics workflows into scalable, automated AI operations for a fast-growing freight platform.
CtrlChain
Built a scalable data, analytics, and ML platform with an FTL spot pricing model in under 12 months.
Sendcloud
Aligning sales, marketing, and customer success around a single ML-driven metric to unlock sustainable growth at scale.
OUR UNDERSTANDING OF Mobility & transport

Global trade relies on fragmented data across rail, barge, and road that often leads to inefficient routing. We replace manual guesswork with algorithmic precision to optimize payloads and reduce deadhead miles in real-time. Our solutions unify disparate data streams into a single source of truth, allowing logistics leaders to scale operations without increasing carbon overhead.

The shift to electric fleets introduces complex variables like charging windows, grid constraints, and battery degradation. We engineer the intelligence behind large-scale charging networks and shared mobility platforms to balance uptime with energy costs. By integrating real-time telemetry with predictive models, we ensure fleets remain operational, profitable, and fully decarbonized.

Developing the next generation of sustainable hardware requires rapid iteration that manual R&D cannot sustain. We build automated data pipelines that digitize physical experimentation and accelerate the discovery of high-performance prototypes. By leveraging predictive modeling and real-time monitoring, we help engineers identify winning materials months ahead of traditional laboratory schedules.

Climate Intelligence & Monitoring

Planetary data, precision insights

Our planet is changing fast. We build the scalable infrastructure needed to process massive geospatial datasets and complex climate models.
CircularPSP
Turning fragmented municipal data into actionable circular economy intelligence for policymakers across Europe.
PlanBlue
Building a production-grade AI backbone to turn hyperspectral seafloor imaging into actionable blue carbon insights at scale.
Beyond Weather
AI infrastructure to commercialize complex weather forecasting models from research to production environment.
OUR UNDERSTANDING OF Climate Intelligence & Monitoring

Vast planetary data is useless without the infrastructure to process it at scale. We build high-throughput pipelines that transform raw pixels from satellites, drones, and sensors into actionable spatial insights. Our systems enable organizations to monitor environmental changes and infrastructure health in real-time, moving from observation to immediate response.

Generic weather models often fail to capture the localized volatility that impacts specific assets and supply chains. We implement advanced AI and ML models that achieve superior accuracy in hyper-local forecasting and long-term climate risk assessment. These high-precision insights allow stakeholders to predict the unpredictable and build resilience into their operations against a changing climate.

Mapping complex material flows and environmental footprints manually is a bottleneck for the circular economy. We deploy LLM-powered systems that automate the ingestion of technical documentation to track material lifecycles and regulatory compliance. By digitizing this expertise, we help companies accelerate their transition toward Net Zero with transparent, data-backed sustainability reporting.

Buildings & INDUSTRY

Sense. Optimize. Steer.

Staying within the boundaries of our planet demands transforming industrial operations and the built environment into intelligent and sustainable systems.
Next Sense
Co-designing a multi-agent AI system with sustainability experts to scale building performance analysis without compromising quality.
247TailorSteel
Optimize manufacturing with real-time AI waste reduction.
Prets
Building a multi-agent AI advisor that guides homeowners through complex, personalized energy upgrade decisions.
OUR UNDERSTANDING OF BUILDINGS & INDUSTRY

Industrial waste is often the result of delayed detection in production anomalies. We deploy real-time computer vision and ML models that monitor quality at the source to eliminate scrap and reduce energy intensity. By integrating predictive engines into supply chain dynamics, we help manufacturers anticipate maintenance needs and optimize resource allocation for a circular production cycle.

Aligning real estate portfolios with net-zero standards requires synthesizing massive volumes of disparate building data. We build Multi-Agent Systems and Digital Twins that simulate energy performance and identify the most impactful retrofit opportunities. These intelligent frameworks allow asset managers to assess efficiency at scale and execute decarbonization strategies with mathematical certainty.

Traditional hardware R&D is too slow to meet the urgent demands of the energy transition. We engineer automated data pipelines that digitize the entire experimentation process, significantly increasing the velocity of the feedback loop. By leveraging predictive modeling and real-time monitoring, we help scientists bypass dead-ends and identify high-performance, sustainable prototypes months ahead of schedule.

Crisp
Implement a new forecasting system for Crisp that improves prediction accuracy (WAPE) by >20%.
Wunderflats
Turning marketplace data maturity into production-ready ML that directly improves listing discoverability and match quality.
JustWatch
Upgrading JustWatch's recommender from collaborative filtering to a taste-aware, production-ready AI system.
PRE-BULT SOLUTIONS

How our assets accelerate our work

Our foundation framework standardizes and automates the full ML lifecycle, allowing you to grow from a single model to a mature ecosystem.

Streaming Asset

Stream machine and sensor data for real-time monitoring and continuous workflow optimization to build operational resilience.

ML Ops Asset

Eliminate hiccups in the model build, deployment, and monitor process to enable small teams tackeling 100+ energy forecasting models.

Multi-agent Asset

Deploy AI agents to support your experts in their daily processes, automatic daunting tasks and let them focus on what truly matters.

Building intelligence for a net zero economy.

Let’s scale your AI capabilities together.