Custom Model Building

We build custom AI models to suit your business needs

Overview
Features
API
Use Cases
Pricing

Need AI models? We'd be happy to partner with you.

We’ll build custom models that solve your business problems, no matter how complex. You are backed by an AI platform scales to your needs.

Industry leading AI for you

Acquire industry-first AI technology and stay ahead of your competition.

Production scale, push-button deployment

We can build you custom machine learning models for your cloud or ours.

How we create your new AI model

With over six years of experience building models for businesses just like yours, our data strategists can deliver results far beyond what is possible off the shelf. We offer expertise, purpose-built tools and unique data sources that will push the performance of your model to its limit.

Step 1: Defining your model

Machines have a hard time making sense of the world around them. They need a human to help them understand what they are looking at. We'll translate your business needs into terms that a computer can understand.

Establishing ground truths
Developing your taxonomy

Step 2: Preparing your data for machine learning

We'll obtain and "wrangle" your data, ensuring that it will work seamlessly within your model. We can even create data, scrape data, or recycle existing data sources.

We’ll identify important variables or visual features, and check for data imbalances that could impact the predictions of your model. We'll also eliminate "noisy" data and duplicate entries.

We offer data labelling services that make it easy to obtain the high quality labels that you need for your custom model.

Find our more about Data Annotation >

Step 3: Creating and optimizing your model

We are experts in the design of model architectures and parameters for customized models. Our data strategists can combine, customize and build upon models to serve a wide variety of use cases.

Planing your model architecture
Training your model
Evaluating your model
Tuning model parameters

Two approaches for training your model

Transfer Learning

Our advanced transfer learning architecture has provided the foundation for hundreds of high performance models in production today.

By pre-training a neural network model on known tasks, and then using the trained neural network as the basis of a new purpose-specific model we are able to get highly accurate results quickly, with less training data.

Pixel Training / Deep Training

Our classification algorithm trains AI to understand your whole image at once. Our detection algorithm locates an object in an image and then understands that part of the image.

We can also train AI to understand images at the smallest possible unit on your computer screen: the pixel. This is where "pixel training" or "deep training" come in. Speak to your Clarifai data strategist to find out if pixel training will help you achieve your goals with AI.