Let your business thrive on Endless Benefits of Artificial Intelligence with Tensorway

Book free consultation

See for yourself

Artificial Intelligence

It’s not the transformation you expect. It’s the revolution your business needs

AI is there - for good. And its potential can be used in a smart way - to automate routine tasks, elevate workflow efficiency, enhance customer experience, and finally, get rid of tiresome tasks that could be delegated. Delegate anything that can be more efficiently done by the AI model and transform what can be enhanced for best business outcomes - all possible with AI development that actually takes your business needs into consideration.

Start revolution

Machine Learning / Deep Learning

Rethink your processes with custom trained models

Tensorway offers machine learning model retraining to continuously improve the accuracy and performance of your solution. Our team of experts can work with you to fine-tune and retrain your model based on your specific use case and data, ensuring that it stays up-to-date and relevant over time. With Tensorway, you can trust that you're getting a powerful and adaptable machine learning solution that will continue to evolve and improve as your needs change.

Rethink today

Computer Vision

Welcome your effectiveness and crystal clear results

From boosting efficiency and productivity to enhancing customer satisfaction and driving revenue growth - CV is here to help! Say goodbye to manual work and human error, and hello to streamlined processes and precise results. With our team of experts and advanced AI technologies, you can achieve more than you ever imagined.

Thrive in the Digital Age

Natural Language Processing

Let Mark Twain chat with your customers

With natural language processing, businesses can now better understand their customers' needs and preferences. It's like having a direct line of communication with them, allowing companies to tailor their products and services to meet their customers' exact needs. This means that companies can focus on what they do best – providing top-quality products and services – while leaving the nitty-gritty of customer service to the machines.

Gain a Competitive Edge

But a DEMO is worth a thousand words

Here's how we made it work

Data extraction solutions that combine CV and NLP rely on pre-trained networks, such as BERT, T5, or GPT. High-quality language representations of pre-trained networks allow us to focus on the task we’re solving. Our expertise in pre-trained networks helps our clients use the most suitable model for their case and achieve top performance.

We clean and prepare the text data for further analysis, i.e. lowercase, lemmatize, tokenize (split the text into individual words or phrases), and remove punctuation or stop words. Speaking of images, we need to be very careful so we don't accidentally remove something important when we crop the image or resize it to a different image aspect ratio. Additionally, when using weights of the pre-trained network, we normalize the images to match pre-trained pixel distributions.

To ensure training stability and increase our model generalization capabilities, we use various augmentations on the fly during training. This way we increase the robustness of the model and allow it to make correct predictions in poor conditions. For example, it allows our document extraction models to have similar levels of performance on ideal PDF documents and poorly-shot photos.

Sometimes, our models are built on top of features that can be extracted from pre-trained models. In the case of Language models, these features are called embeddings - vector representations of texts that are extremely effective and allow us to compare texts with one another.

The training step requires different techniques to train a model on a large dataset of labeled text image data. Once trained, the model can make predictions about new, unseen content.

To perfect the model, we evaluate its performance on a special test dataset to see how well it is able to make predictions. At this point, we calculate metrics such as precision, recall, f1, and accuracy.

Finally, we deploy a trained and evaluated model in a real-world application, such as a chatbot or a machine translation tool. For speed and saving, the computational resources model can be additionally optimized, or even reduced in size, sometimes significantly.