NextML
AI-driven image generation from text with advanced customization options.. [Free]
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What is NextML?
NextML is a specialized machine learning consultancy that builds custom ML products and solutions for businesses across various industries. The company is a small but highly specialized team of machine learning engineers and programmers focused on solving real problems using the latest machine learning research. They can take client ideas all the way to production using existing products, open solutions, or by developing everything from scratch.
The company offers two main packaged products: DeepInspection for damage recognition that scans through terabytes of photos to automatically detect damages on physical assets, and Perceptor3D for generating and improving textures on 3D models using deep learning and generative models. Their custom projects include unsupervised segmentation of satellite images, detecting damages on railroad infrastructure, text recognition in factories, super-resolution and object removal in satellite images, risk detection in legal documents, and large-scale video search using CLIP.
NextML is ideal for businesses that need practical machine learning solutions for real-world problems such as infrastructure monitoring, visual inspection, document analysis, video search, and 3D content creation. They serve industries including railway infrastructure, manufacturing, legal consulting, media production, and retail. Their approach combines unsupervised, supervised, and generative algorithms to automatically scan through billions of images with continuous retraining for near-automatic performance.
The company's hands-on approach emphasizes pragmatism over hype, delivering state-of-the-art solutions on time that provide immediate value. They integrate software into client systems to run algorithms in real-time and report damages directly to asset management systems, with their digital inspectors manually removing false positives so clients can focus on actual damages.
NextML is based in Stockholm, Sweden, and has impressive track records including analyzing over 500 million images in 2021 and finding more than 150 damages on Swedish railways, reducing text recognition error rates from 4% to 0.2% for a large manufacturer, and scanning 20,000 km of railway using their DeepInspection product.
NextML pricing
Pricing model: Freemium
NextML does not display public pricing on their website. They offer custom machine learning projects tailored to client needs and two packaged products (DeepInspection for damage recognition and Perceptor3D for 3D texture generation). Pricing is determined through direct consultation based on project scope, data volume, and specific business requirements. Clients must get in touch through their contact form to discuss pricing and get a custom quote.
NextML pros
- Specialized team of machine learning engineers and programmers
- Takes ideas all the way to production
- Uses latest machine learning research
- Develops solutions from scratch when needed
- Offers both custom projects and packaged products
- DeepInspection scans terabytes of photos automatically
- Detects damages on physical assets proactively
- Perceptor3D generates textures to 3D models from scratch
- Guides texture generation through text and images
- Super-resolution feature adds details to existing textures
- Unsupervised segmentation requires no labeled training data
- Continuous retraining makes solution almost automatic
- Integrates into existing systems for real-time operation
- Reports damages directly to asset management systems
- Analyzes billions of images with proven results
- Manual false positive removal by digital inspectors
- Agile development with high quality code
- Pragmatic approach without hype and fluff
- Delivers state-of-the-art solutions on time
- Provides immediate value after deployment
NextML cons
- Small team may limit scaling capacity
- No publicly listed pricing information
- No free tier available
- Primarily focused on enterprise clients
- Limited to machine learning solutions only
- Based in Stockholm which may limit regional availability
- Requires expert supervision for optimal performance
- No self-service platform available
- Custom development takes time and investment
- Limited public documentation available
Frequently asked questions about NextML
What services does NextML offer?
NextML offers custom machine learning projects tailored to client needs and two packaged products: DeepInspection for automatic damage recognition on physical assets and Perceptor3D for generating and improving textures on 3D models using deep learning.
How does DeepInspection work?
DeepInspection combines machine learning algorithms and remote inspection to scan through terabytes of data. It uses unsupervised, supervised, and generative algorithms to automatically scan through billions of images, with digital inspectors manually removing false positives so clients can focus on actual damages.
What industries does NextML serve?
NextML serves multiple industries including railway infrastructure (detecting damages on railroad infrastructure), manufacturing (text recognition in factories), legal consulting (risk detection in tender documents), media production (video search using CLIP), and retail technology.
Do you need labeled training data for NextML projects?
Not necessarily. NextML has developed algorithms for unsupervised segmentation that work without any labeled training data, such as their satellite image segmentation project that segments images based on vegetation without labeled data.
How accurate is NextML's text recognition?
NextML improved a customer's text recognition solution from a 4% error rate to 0.2%, demonstrating significantly improved accuracy for reading text in images in factory environments.
What is Perceptor3D used for?
Perceptor3D uses deep learning research to generate and improve textures on 3D models. You can start from a gray 3D model and generate new beautiful textures, guide the process through text and images, add details with super-resolution, and select which areas to change in existing textures.
How many images has NextML analyzed?
NextML has analyzed almost a billion images across their projects and has found over 200 damages of varying severity. In 2021 alone, they analyzed over 500 million images and found more than 150 damages on Swedish railways.
Can NextML integrate with existing systems?
Yes, NextML integrates their software into client systems to run algorithms in real-time and report damages directly to the client's asset management system, ensuring seamless workflow integration.
What is NextML's approach to machine learning?
NextML approaches machine learning as software developers with agile development and high quality code. They view machine learning as technology that allows developing software with examples instead of rules, creating mathematical functions tuned based on input and expected output examples.
How does NextML handle anomaly detection without damage images?
When NextML didn't have real damage images initially, they created images with fake damages using Photoshop for supervised learning. After finding 20-30 actual damages, they trained a cycleGAN to generate more fake damages, leading to significant improvements in their anomaly detection algorithms.