Modular models engineered for scalable thinking
We train and fine-tune models at massive scale to deliver AI that learns faster, thinks deeper, and adapts effortlessly.
For startups, training large models is slow, expensive, and often out of reach.
It’s difficult to set up for and predict real-world performance. Development is slow, costly, and limited to low-throughput experiments, while opportunities slip away. Most teams focus on benchmark scores, not adaptability or resilience.
HIGH-THROUGHPUT TRAINING
High-speed training and validation across massive model sets
We explore millions of model architectures at scale, selecting the ones that maximize learning speed, adaptability, and impact for each startup's use case
Pre-training, training and validation at scale produces previously inaccessible data that fuels our ML platform to identify optimal system designs – beyond just binding.
MACHINE LEARNING
Creating breakthrough models through generative design
We uncover the hidden patterns that make models exceptional, then iterate rapidly to turn them into production-ready intelligence.
Connecting data from diverse domains deepens our understanding of model behavior, strengthening training and setup design decisions across every project.
DATA + ML = BETTER, FASTER AI MODELS
High-velocity model training for maximum impact
Our large-scale training pipelines cut development cycles drastically, thereby helping partners accelerate from concept to market.
No costly delays, no infrastructure headaches — just faster launches, lower costs, and a higher probability of winning in the market.
Meet the Sentius Space team
Matthew Dobson
Co-founder, CEO
Matthew is a seasoned technology leader with a strong background in artificial intelligence, machine learning, and large language models. He has built and scaled AI-driven products for global markets, leading cross-disciplinary teams from concept to deployment. Previously, he served as Head of AI Strategy at Philips, driving enterprise adoption of ML solutions.
Anouk Visser
Co-founder, COO
Anouk is an operations leader with a strong background in scaling startups from concept to market. She has led cross-functional teams through rapid growth, overseeing everything from operational strategy and partner relationships to resource optimization and compliance.
Joris van der Meer
CTO
Joris holds a PhD in Computer Science and has 15 years of experience in applying ML across a wide range of applications from computer vision to recommendation systems. Previously he has been leading ML research teams at Twitter and Babylon Health.
About Sentius Space
Deploy advanced models that understand your context and drive real business outcomes
We are a team of engineers, researchers, and entrepreneurs dedicated to making advanced AI accessible to everyone. With deep expertise in machine learning, large language models, and scalable infrastructure, we bridge the gap between cutting-edge research and real-world application. Our mission is to empower startups and innovators to harness domain-specific, production-ready intelligence without the cost, complexity, or delays that have traditionally held them back.
