Go beyond prompting

Go beyond prompting

Go beyond prompting

Industrial Enterprise Intelligence

Industrial Enterprise Intelligence

Industrial Enterprise Intelligence

Kausal is a private AI lab based in Amsterdam and Helsinki.


We are the entrepreneurial execution partner for industrial companies on their journey to AI-powered business models, products and operations.

Kausal is a private AI lab based in Amsterdam and Helsinki.


We are the entrepreneurial execution partner for industrial companies on their journey to AI-powered business models, products and operations.

European industry faces a pivotal moment.


Integrating AI could unlock over €100B in annual productivity gains.


Yet industrial companies navigate unprecedented challenges: high capital costs, margin pressure, red tape, outdated business models. All while operating on legacy infrastructure.


Europe can seize the moment and lead the industrial AI revolution.


With a background in building leading tech ventures, we understand the transformative power of AI. Companies that strategically implement AI will achieve unmatched cost efficiencies, outpace competitors, create new revenue streams.


Our mission is to partner with industrial leaders committed to accelerating their AI-driven transformation.


Explore our perspective on the future of industrial AI.

European industry faces a pivotal moment.


Integrating AI could unlock over €100B in annual productivity gains.


Yet industrial companies navigate unprecedented challenges: high capital costs, margin pressure, red tape, outdated business models. All while operating on legacy infrastructure.


Europe can seize the moment and lead the industrial AI revolution.


With a background in building leading tech ventures, we understand the transformative power of AI. Companies that strategically implement AI will achieve unmatched cost efficiencies, outpace competitors, create new revenue streams.


Our mission is to partner with industrial leaders committed to accelerating their AI-driven transformation.


Explore our perspective on the future of industrial AI.

European industry faces a pivotal moment.


Integrating AI could unlock over €100B in annual productivity gains.


Yet industrial companies navigate unprecedented challenges: high capital costs, margin pressure, red tape, outdated business models. All while operating on legacy infrastructure.


Europe can seize the moment and lead the industrial AI revolution.


With a background in building leading tech ventures, we understand the transformative power of AI. Companies that strategically implement AI will achieve unmatched cost efficiencies, outpace competitors, create new revenue streams.


Our mission is to partner with industrial leaders committed to accelerating their AI-driven transformation.


Explore our perspective on the future of industrial AI.

European industry faces a pivotal moment.


Integrating AI could unlock over €100B in annual productivity gains.


Yet industrial companies navigate unprecedented challenges: high capital costs, margin pressure, red tape, outdated business models. All while operating on legacy infrastructure.


Europe can seize the moment and lead the industrial AI revolution.


With a background in building leading tech ventures, we understand the transformative power of AI. Companies that strategically implement AI will achieve unmatched cost efficiencies, outpace competitors, create new revenue streams.


Our mission is to partner with industrial leaders committed to accelerating their AI-driven transformation.


Explore our perspective on the future of industrial AI.

We partner with industrial leaders to accelerate transformation

We partner with industrial leaders to accelerate transformation

We partner with industrial leaders to accelerate transformation

Anyone can buy enterprise GPT subscriptions and show an AI demo at the weekly all-hands. Generating sizable new revenue streams and scalable operational efficiencies is the hard part. That’s why our clients appreciate our first-principles approach that starts with extracting desired operational outcomes and reverse-engineering the most efficient way to get there.

Anyone can buy enterprise GPT subscriptions and show an AI demo at the weekly all-hands. Generating sizable new revenue streams and scalable operational efficiencies is the hard part. That’s why our clients appreciate our first-principles approach that starts with extracting desired operational outcomes and reverse-engineering the most efficient way to get there.

Anyone can buy enterprise GPT subscriptions and show an AI demo at the weekly all-hands. Generating sizable new revenue streams and scalable operational efficiencies is the hard part. That’s why our clients appreciate our first-principles approach that starts with extracting desired operational outcomes and reverse-engineering the most efficient way to get there.

Embed cutting-edge AI into live operations and products

Embed cutting-edge AI into live operations and products

We solve tough operational challenges through computational problem solving. In order to truly scale AI/ML models from a one-shot R&D breakthrough into downstream operations, we wrap them into full-stack enterprise software platforms and Agentic AI workflows, design AI-first UX/UI and re-configure operations, products and if required even entire business models. Most importantly, we proactively take your people along the journey.

We solve tough operational challenges through computational problem solving. In order to truly scale AI/ML models from a one-shot R&D breakthrough into downstream operations, we wrap them into full-stack enterprise software platforms and Agentic AI workflows, design AI-first UX/UI and re-configure operations, products and if required even entire business models. Most importantly, we proactively take your people along the journey.

We solve tough operational challenges through computational problem solving. In order to truly scale AI/ML models from a one-shot R&D breakthrough into downstream operations, we wrap them into full-stack enterprise software platforms and Agentic AI workflows, design AI-first UX/UI and re-configure operations, products and if required even entire business models. Most importantly, we proactively take your people along the journey.

01 ACTIVATE

Rally your organisation around high-impact AI applications

01 ACTIVATE

Rally your organisation around high-impact AI applications

02 BUILD

Turn data into insights by building proprietary AI agents and models

02 BUILD

Turn data into insights by building proprietary AI agents and models

03 DEPLOY

Make AI models operational by embedding them into your processes and products

03 DEPLOY

Make AI models operational by embedding them into your processes and products

04 SCALE

Leverage AI as a driver for strategic growth and innovation

04 SCALE

Leverage AI as a driver for strategic growth and innovation

01

ACTIVATE

Rally your organisation around high-impact AI applications

01

ACTIVATE

Rally your organisation around high-impact AI applications

02

BUILD

Turn data into insights by building proprietary AI agents and models

02

BUILD

Turn data into insights by building proprietary AI agents and models

03

DEPLOY

Make AI models operational by embedding them into your processes and products

03

DEPLOY

Make AI models operational by embedding them into your processes and products

04

SCALE

Leverage AI as a driver for strategic growth and innovation

04

SCALE

Leverage AI as a driver for strategic growth and innovation

Felt these pain points before?

Felt these pain points before?

Felt these pain points before?

  • Advanced Robotics

    PAIN POINT

    Traditional automation lacks flexibility for complex tasks and adapting to new production requirements.


    SOLUTION

    Integrating AI (Reinforcement Learning, Deep Q-Networks SLAM, Computer Vision) into robotics for adaptive automation in complex industrial tasks like assembly, packaging and material handling.

  • Asset Optimization

    PAIN POINT

    Poor visibility into asset location and usage leads to underutilization and operational inefficiencies.


    SOLUTION

    Using AI (Clustering, Graph-based Algorithms, Time Series Forecasting, IoT Data Analysis with LSTMs) with IoT devices to track, manage, and optimize equipment utilization and reduce asset downtime.

  • LLM-powered AI Agents

    PAIN POINT

    Manual, repetitive administrative tasks waste time, increase errors and reduce workforce productivity.


    SOLUTION

    Autonomous and self-learning LLM-powered AI agents can automate complex, open-ended workflows, while keeping control over their processes and tool usage.

  • Energy Management

    PAIN POINT

    High energy costs and inefficient consumption impact operational budgets and sustainability goals.


    SOLUTION

    Analyzing energy consumption patterns (Regression Models, Clustering, Optimization Algorithms, Reinforcement Learning) to optimize usage and support sustainability initiatives in industrial operations.

  • Supply Chain Optimization

    PAIN POINT

    Inefficient supply chains suffer from delays, excess inventory and poor demand forecasting.


    SOLUTION

    Optimizing logistics, inventory and demand forecasting (e.g. Linear Programming, Reinforcement Learning, Genetic Algorithms) to enhance logistics efficiencies.

  • Quality Control

    PAIN POINT

    Manual quality inspections are error-prone, inconsistent and unable to keep pace with high-speed production lines.


    SOLUTION

    Using computer vision to detect manufacturing defects (CNNs, Autoencoders, Image Segmentation Models, Anomaly Detection) real-time, improving product quality and reducing human inspection errors.

  • Predictive Maintenance

    PAIN POINT

    Unexpected equipment failures cause costly downtime and increased maintenance expenses.


    SOLUTION

    Predicting equipment failures using sensor data and ML (e.g. Gradient Boosting (XGBoost, LightGBM, CatBoost), regression models, random forests) to enhance operational efficiency.

  • Quality Control & Defect Detection

    PAIN POINT

    Manual quality inspections are error-prone, inconsistent and unable to keep pace with high-speed production lines.


    SOLUTION

    Using computer vision to detect manufacturing defects (CNNs, Autoencoders, Image Segmentation Models, Anomaly Detection) real-time, improving product quality and reducing human inspection errors.

  • Supply Chain Optimization

    PAIN POINT

    Inefficient supply chains suffer from delays, excess inventory and poor demand forecasting.


    SOLUTION

    Optimizing logistics, inventory and demand forecasting (e.g. Linear Programming, Reinforcement Learning, Genetic Algorithms) to enhance logistics efficiencies.

  • Energy Management

    PAIN POINT

    High energy costs and inefficient consumption impact operational budgets and sustainability goals.


    SOLUTION

    Analyzing energy consumption patterns (Regression Models, Clustering, Optimization Algorithms, Reinforcement Learning) to optimize usage and support sustainability initiatives in industrial operations.

  • Predictive Maintenance

    PAIN POINT

    Unexpected equipment failures cause costly downtime and increased maintenance expenses.


    SOLUTION

    Predicting equipment failures using sensor data and ML (e.g. Gradient Boosting (XGBoost, LightGBM, CatBoost), regression models, random forests) to enhance operational efficiency.

  • LLM-powered AI Agents

    PAIN POINT

    Manual, repetitive administrative tasks waste time, increase errors and reduce workforce productivity.


    SOLUTION

    Autonomous and self-learning LLM-powered AI agents can automate complex, open-ended workflows, while keeping control over their processes and tool usage.

  • Asset Tracking and Optimization

    PAIN POINT

    Poor visibility into asset location and usage leads to underutilization and operational inefficiencies.


    SOLUTION

    Using AI (Clustering, Graph-based Algorithms, Time Series Forecasting, IoT Data Analysis with LSTMs) with IoT devices to track, manage, and optimize equipment utilization and reduce asset downtime.

  • Advanced Robotics

    PAIN POINT

    Traditional automation lacks flexibility for complex tasks and adapting to new production requirements.


    SOLUTION

    Integrating AI (Reinforcement Learning, Deep Q-Networks SLAM, Computer Vision) into robotics for adaptive automation in complex industrial tasks like assembly, packaging and material handling.

  • Intelligent Human-Machine Interfaces

    PAIN POINT

    Traditional HMIs are static and require extensive manual input from operators.


    SOLUTION

    AI-powered HMIs adapt to user behavior, providing intuitive, context-aware controls for operators​.

  • AI-Enabled Process Control Systems

    PAIN POINT

    Traditional process control systems are rigid and struggle with dynamic environments.


    SOLUTION

    AI-powered control systems (Model Predictive Control, Reinforcement Learning) adapt to changing conditions, optimizing production parameters autonomously.

  • Smart Inventory Management

    PAIN POINT

    Overstocking or stockouts due to inefficient inventory management practices.

    SOLUTION

    Predicting (Time-Series Models, Regression Analysis​) inventory needs based on sales trends and production schedules.

  • Predictive Safety Monitoring

    PAIN POINT

    Industrial safety incidents often occur without prior warning signs.


    SOLUTION

    Analyzing operational data to predict (Classification Models, Gradient Boosting Techniques​) potential safety hazards before they escalate.


  • Predictive Maintenance

    PAIN POINT

    Unexpected equipment failures cause costly downtime and increased maintenance expenses.


    SOLUTION

    Predicting equipment failures using sensor data and ML (e.g. Gradient Boosting (XGBoost, LightGBM, CatBoost), regression models, random forests) to enhance operational efficiency.

  • Quality Control & Defect Detection

    PAIN POINT

    Manual quality inspections are error-prone, inconsistent and unable to keep pace with high-speed production lines.


    SOLUTION

    Using computer vision to detect manufacturing defects (CNNs, Autoencoders, Image Segmentation Models, Anomaly Detection) real-time, improving product quality and reducing human inspection errors.

  • Supply Chain Optimization

    PAIN POINT

    Inefficient supply chains suffer from delays, excess inventory and poor demand forecasting.


    SOLUTION

    Optimizing logistics, inventory and demand forecasting (e.g. Linear Programming, Reinforcement Learning, Genetic Algorithms) to enhance logistics efficiencies.

  • Energy Management

    PAIN POINT

    High energy costs and inefficient consumption impact operational budgets and sustainability goals.


    SOLUTION

    Analyzing energy consumption patterns (Regression Models, Clustering, Optimization Algorithms, Reinforcement Learning) to optimize usage and support sustainability initiatives in industrial operations.

  • LLM-powered AI Agents

    PAIN POINT

    Manual, repetitive administrative tasks waste time, increase errors and reduce workforce productivity.


    SOLUTION

    Autonomous and self-learning LLM-powered AI agents can automate complex, open-ended workflows, while keeping control over their processes and tool usage.

  • Asset Tracking and Optimization

    PAIN POINT

    Poor visibility into asset location and usage leads to underutilization and operational inefficiencies.


    SOLUTION

    Using AI (Clustering, Graph-based Algorithms, Time Series Forecasting, IoT Data Analysis with LSTMs) with IoT devices to track, manage, and optimize equipment utilization and reduce asset downtime.

  • Advanced Robotics

    PAIN POINT

    Traditional automation lacks flexibility for complex tasks and adapting to new production requirements.


    SOLUTION

    Integrating AI (Reinforcement Learning, Deep Q-Networks SLAM, Computer Vision) into robotics for adaptive automation in complex industrial tasks like assembly, packaging and material handling.

  • Intelligent Human-Machine Interfaces

    PAIN POINT

    Traditional HMIs are static and require extensive manual input from operators.


    SOLUTION

    AI-powered HMIs adapt to user behavior, providing intuitive, context-aware controls for operators​.

  • AI-Enabled Process Control Systems

    PAIN POINT

    Traditional process control systems are rigid and struggle with dynamic environments.


    SOLUTION

    AI-powered control systems (Model Predictive Control, Reinforcement Learning) adapt to changing conditions, optimizing production parameters autonomously.

  • Predictive Safety Monitoring

    PAIN POINT

    Industrial safety incidents often occur without prior warning signs.


    SOLUTION

    Analyzing operational data to predict (Classification Models, Gradient Boosting Techniques​) potential safety hazards before they escalate.


  • Smart Inventory Management

    PAIN POINT

    Overstocking or stockouts due to inefficient inventory management practices.

    SOLUTION

    Predicting (Time-Series Models, Regression Analysis​) inventory needs based on sales trends and production schedules.

Talk to our founder Adrian to find out how we can help.

Talk to our founder Adrian to find out how we can help.

Adrian Klee
Founder & MD

BOOK YOUR INTRO

BOOK YOUR INTRO

BOOK YOUR INTRO

Talk to our founder Adrian to find out how we can help.

Your entrepreneurial partner for hands-on value creation

Your entrepreneurial partner for hands-on value creation

AI-enabled industrial transformation is about to change everything. This requires new kinds of partners: As ex-operators, founders and advisors of leading AI and tech companies, we combine deep technical expertise with bottom-line focused digital business transformation experience. We offer a full-stack, multidisciplinary team of ML/AI experts, designers, developers and consultants. Above all, we’re built on Nordic integrity, so we say what we do and do what we say: everyone performs.

Based in Amsterdam and Helsinki, found wherever our clients are.

AI-enabled industrial transformation is about to change everything. This requires new kinds of partners: As ex-operators, founders and advisors of leading AI and tech companies, we combine deep technical expertise with bottom-line focused digital business transformation experience. We offer a full-stack, multidisciplinary team of ML/AI experts, designers, developers and consultants. Above all, we’re built on Nordic integrity, so we say what we do and do what we say: everyone performs.

Based in Amsterdam and Helsinki, found wherever our clients are.

AI-enabled industrial transformation is about to change everything. This requires new kinds of partners: As ex-operators, founders and advisors of leading AI and tech companies, we combine deep technical expertise with bottom-line focused digital business transformation experience. We offer a full-stack, multidisciplinary team of ML/AI experts, designers, developers and consultants. Above all, we’re built on Nordic integrity, so we say what we do and do what we say: everyone performs.

Based in Amsterdam and Helsinki, found wherever our clients are.


Team

Team

Adrian Klee

Founder, MD

Adrian Klee

Founder, MD

Adrian Klee

Founder, MD

Adrian Klee

Founder, MD

Jussi Hyttinen

Project Lead

Jussi Hyttinen

Project Lead

Timo Haanpää

Senior Industry Advisor

Timo Haanpää

Senior Industry Advisor

Kalle Raita

Digisalix Oy

Kalle Raita

Digisalix Oy

↳ Join us

↳ Join us

Jussi Hyttinen

Project Lead

Jussi Hyttinen

Project Lead

Timo Haanpää

Sr. Industry Advisor

Timo Haanpää

Sr. Industry Advisor

Kalle Raita

Digisalix Oy

Kalle Raita

Digisalix Oy

↳ Join us

↳ Join us

Latest research

Latest research

Latest research

Technology continues to advance, bringing new entrants who in turn drive the development of new business models.

Our role is to ensure our clients are best positioned and equipped to ride and exploit change, rather than withstand it. We help them understand the important questions it asks, develop the strategies to answer them and provide practical, effective techniques to execute for success.

Technology continues to advance, bringing new entrants who in turn drive the development of new business models.

Our role is to ensure our clients are best positioned and equipped to ride and exploit change, rather than withstand it. We help them understand the important questions it asks, develop the strategies to answer them and provide practical, effective techniques to execute for success.

Technology continues to advance, bringing new entrants who in turn drive the development of new business models.

Our role is to ensure our clients are best positioned and equipped to ride and exploit change, rather than withstand it. We help them understand the important questions it asks, develop the strategies to answer them and provide practical, effective techniques to execute for success.

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Manifesto

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Legal

Data Privacy

© Ross Republic Amsterdam BV 2025

Social

X

LinkedIn

Research

Manifesto

Publications