We help companies move from prototype to production. MaxML builds applied ML systems — reliable, scalable, and designed for the real world.
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MaxML was founded by a team of ML engineers and researchers who spent years watching great models die in notebooks. We decided to fix that.
Our focus is the gap between proof-of-concept and production — the part where most AI projects fail. We combine deep technical expertise with pragmatic engineering to deliver systems that work at scale, not just in demos.
Based in Europe, working globally. Currently in stealth mode, preparing for public launch.
Four core verticals designed to cover the full ML lifecycle — from data to deployment and beyond.
Custom language models fine-tuned for domain-specific tasks — document understanding, entity extraction, semantic search, and conversational AI.
Real-time image and video analysis pipelines. Quality inspection, object detection, medical imaging — optimized for edge and cloud deployment.
Forecasting systems for demand planning, churn prediction, risk scoring, and anomaly detection. Built for accuracy and interpretability.
End-to-end infrastructure for model training, versioning, monitoring and serving. Automated retraining, drift detection, and rollback out of the box.
Our team actively contributes to the ML research community. Select highlights from our pre-launch work.
Exploring parameter-efficient transfer learning techniques that reduce compute requirements by 60% while maintaining benchmark accuracy. Preprint forthcoming.
Sub-10ms inference on commodity hardware for real-time quality control. Collaboration with two manufacturing partners in the DACH region.
A novel framework for continuous evaluation of deployed models. Automatic detection and response to data distribution shifts without manual thresholds.
We're selectively onboarding design partners ahead of launch. If your organization has challenging ML problems, we'd love to hear from you.
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