Lightning Fast Computer Vision For Developers
Train and deploy custom image detection, classification and search functions in a few minutes.
Stories From Some of Our Customers
Computer Vision Made Easy
Train and deploy an object detector in a few minutes. Upload images and annotate directly in the browser.
Image Classification models are trained in seconds, immediately deployed, and ready to be integrated.
Search your image library using images or free-form text queries. No training required. Simply upload your images, and start searching.
Nyckel abstracts away all Computer Vision complexity allowing you to focus on your data and your problem.
Deep Learning in Seconds
Fully automated and highly parallelized AutoML trains and evaluates top deep learning methods on your data in seconds.
Instant model deploy to elastic inference infra with 99.99% uptime, 300ms latency. Scale to millions of invokes on day one!
Fast and secure API enables fully automated integration of our Machine Learning service into your application.
Integrated Data Engine
Nyckel UI tightly integrates data annotation, inspection and mining into your ML workflow.
Open sign-ups, an always-free tier, a one-month free trial at the enterprise tiers, and no data lock-in!
Nyckel in 60 Seconds
Train your own Image Classifier or Object Detector in just a few minutes. Models are instantly deployed and ready to be integrated.
Example Use Cases
Fake Image Detection
Recent AI models, like "Stable Diffusion", can generate high fidelity fake images. Use a Nyckel image classification function to separate fake vs real.
Need to identify what's in an image? Use Nyckel to create a custom barcodeless scanner and your function will be able to classify future images.
Train your function to identify defects by analying an image of your product. Use the API to determine whether subsequent pictures are defect-free.
Do you need to know whether an image depicts a positive or negative emotion? Train Nyckel on your images to create an API to identify the emotions of future subjects.
Use imagery of your fields to train a Nyckel function to distinguish between healthy and unhealthy crops.
Automatically maintain your biome health database by using Nyckel to check for changes in land use across geographies.
Track wild populations or even individuals in their migrations across days, months and years without large manual processes.
Explore Our API
Train your function through the UI, then call it through the API. Or do everything through the API.Explore the API
Introducing Nyckel Image Search Functions
Nyckel Image Search functions enable cross-modal semantic search of images and text using the latest Deep Learning technology. Get started with a few simple API commands.
How Reddit Could Use Machine Learning to Better Moderate Subreddits
Subreddit moderators don’t have an easy job. We experimented to see how Reddit could use to Nyckel to moderate /r/EarthPorn images quickly and effectively.
Service Oriented Design Applies to ML Too
The way we’re building ML solutions today runs contrary to system design best practices. Thinking holistically about ML as a service yields designs that are cleaner technically and better organizationally.
Multi-Class Classification vs. Multi-Label Classification: Key Differences & How to Choose
One of the first steps before creating a new classification function is to decide whether to use multi-class classification or multi-label classification. In this article, we’ll cover the differences between the two types of classification and help you choose which approach makes the most sense for your problem.
Not sure if Nyckel is right for you? Give it a try today!
- Open sign-ups
- Always-free tier
- First month free
- Free model training