THE BEST AI FOR BUSINESS DATA

Frontier AI for Data Science

From structured data to decisions. Instantly.

Revolutionizing the way
data science is done

Frontier models for data science

We’re changing the rules of data science. Our pretrained foundation models deliver high-accuracy predictions from structured data instantly, without the burden of training models or maintaining pipelines.

State-of-the-art predictions, instantly

Outperform traditional ML and LLM-based approaches with predictions delivered instantly. Use our API endpoints or plug in our end-to-end expert AI modules ready to solve your use case out of the box.

For business-critical use cases

Focus on decisions, not infrastructure. Our solutions can automate any business use case across sales, marketing, product and operations, all while eliminating the need for complex infrastructure.

Designed for ML problems in enterprise

We offer a proprietary suite of foundation models and end-to-end solutions designed for complex ML tasks found in industries like Commerce, Finance, Healthcare and beyond.

Classification

Get instant predictions for any kind of classification problem on your structured data. Our API scales to datasets of up to 1 million rows and can handle mixed feature types like numbers, text, and categories.

Learn more

Regression

Generate instant numerical predictions for any kind of regression problem on your structured data. Our API scales to datasets of up to 1 million rows and can handle mixed feature types like numbers, text, and categories.

Learn more

Time-Series

Forecast future values, detect trends, and anticipate changes from your temporal data.

Coming soon!

Expert AI modules

End-to-end modules infused with business logic to solve complex industry use cases out of the box.

Learn more

The best foundation models for business data

Get superior performance compared to traditional ML

Our in-house suite of frontier models delivers predictions at a state-of-the-art accuracy that outperforms traditional ML models like XGBoost and CatBoost, all while skipping the overhead of traditional model development, training and maintenance.

Achieve 2x better performance than LLMs

Pretrained on millions of synthetic datasets, our models have learned the hidden patterns behind the rows and columns of business data — the kind today's LLMs are simply not designed to see. This enables predictions that can be more than twice as accurate as what you'd get with LLMs.

Latest articles

They talk about us

"With Neuralk-AI, retailers can automate complex data workflows with smart deduplication and enrichment."

Read the article ->
Romain Dillet

“Neuralk-AI is French Tech’s new promise
in AI”

Read the article ->
Adrien Lelièvre

Neuralk AI has been awarded the Jury’s Favourite Prize at the LSA Tech IA For Business Awards

Read the article ->
Bleuenn Féquant

Testimonials

"Neuralk-AI's embedding models could help us save our clients numerous hours of unnecessary manual data cleaning."


Nagi Letaifa
Chief Technical Officer at Mirakl

"We are thrilled to collaborate with Neuralk-AI in developing next-generation AI solutions for our clients."


Vincent Luciani
Chief Executive Officer at Artefact

"I see immense potential in Neuralk-AI's scientific team to empower enterprises in building AI solutions that seamlessly integrate and interact with structured databases."


Mehdi Ghissassi
Google Deepmind Director

Frequently Asked Questions

Learn more about how our frontier AI can transform your business

What do you mean by tabular/structured data?
Tabular data is information that is organized in rows and columns, similar to tables or spreadsheets. Each row typically represents a single entity, such as a customer, a product, or a transaction, while each column captures a specific attribute, like category, colour, price, etc.
How can I use your foundation models for my use case?
You can seamlessly connect our solution to your company's data via the Neuralk API. Get in touch with us to know more.
What is an embedding vector?
An embedding vector is a way to represent information as a list of numbers. This numerical representation helps a computer understand relationships and similarities and compare items properties by turning them into a format it can work with.
How much does it cost?
We operate on subscription fee based on your use-case and your volume of data to deal with. Get in touch with us to know more.
Where do your models run? Where does my data go?
Our solution is designed for seamless deployment wherever your data resides, ensuring security and adaptability to your infrastructure needs. Contact us to learn more.
Still have questions?

Can’t find the answer you’re looking for? Please chat to our friendly team.