Nextml is a machine learning consulting and solutions company specializing in building custom AI projects for enterprise clients. They focus on delivering practical, production-ready machine learning systems tailored to specific business needs.

What It Does

Nextml provides end-to-end machine learning development services, from algorithm design to deployment. Their expertise spans computer vision, natural language processing, and advanced AI techniques. They work hands-on with clients to develop custom solutions that address real-world challenges across industries including infrastructure, manufacturing, media, legal, and geospatial analysis.

Key Capabilities

• Computer Vision Solutions: Satellite image segmentation, damage detection on physical infrastructure, text recognition in industrial environments, and super-resolution enhancement
• Natural Language Processing: Automated requirement and risk detection in legal documents, text analysis for compliance and tender processes
• Advanced Search Systems: Large-scale video search using CLIP technology, enabling effective media retrieval without traditional metadata
• Custom Algorithm Development: Unsupervised learning techniques, deep learning models, and specialized solutions built for unique client requirements

Who It's For

Nextml serves enterprise clients with complex machine learning needs, including government agencies (Trafikverket), infrastructure companies (Infranord), large manufacturers, consulting firms, and media production companies. Their client-focused approach makes them ideal for organizations seeking bespoke AI solutions rather than off-the-shelf products.

Featured Product

DeepInspection: A packaged solution that scans terabytes of photos to automatically detect damages on physical assets, streamlining inspection processes for infrastructure and asset management.

Nextml differentiates itself through its hands-on consulting approach, delivering proven results across diverse industries with measurable improvements (such as reducing error rates from 4% to 0.2% in text recognition projects).