Bringing Frontier AI
to your business data

From structured data to decisions. Instantly.

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Trusted by leading organizations in Commerce and beyond

Bring the power of Frontier AI to your structured data

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A Foundation model for structured data

Unlock the predictive layer missing in your Frontier AI stack: powered by the Neuralk AI foundation model, you are now able to run predictive and forecasting tasks directly on your business data.

Get high-quality predictions, instantly

Generate highly accurate predictions for your use cases in only a few minutes, replacing months of model training and manual data science work with immediate value for your business.

Built for business-critical use cases

Harness the predictive power of our foundation model for your most revenue-critical tasks, from sales forecasting and pricing optimization to churn prediction, catalog optimization and more.

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Get the most value out of all your data sources

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Product Data

Unlock the full potential of your raw product catalogs by accurately classifying items into precise taxonomies, predicting key attributes such as brand, category, color, material, and filling in any other missing or noisy information.

User Data

Make accurate predictions on raw user data for key tasks, including user segmentation, imputing missing attributes like demographics and preferences, predicting churn, and enriching data with meaningful information.

Transaction data

Get the full value from your raw transaction data on key use cases like repurchase prediction, attribute enrichment, record cleaning, standardization, and completion of messy or noisy information.

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Latest articles

All
Business
Research
Business
Product Categorization with Tabular AI: Why Retailers Can’t Afford to Ignore It

Discover how retailers can transform product categorization from a tedious task into a strategic driver of sales.

August 20, 2025
Research
Introducing TabBench: Benchmarking Tabular ML Models for Enterprise Tasks

Introducing TabBench, an open-source benchmark built by Neuralk-AI to evaluate tabular ML models on practical, real-world industry tasks, starting with commerce-related use cases.

June 25, 2025
Research
An introduction to Tabular AI

Discover how Tabular AI can outperform classical ML with instant predictions and minimal manual effort.

June 5, 2025
Business
Product Categorization with Tabular AI: Why Retailers Can’t Afford to Ignore It

Discover how retailers can transform product categorization from a tedious task into a strategic driver of sales.

August 20, 2025
Business
Why LLMs Struggle with Enterprise Data — and How Tabular AI Fixes It

LLMs are good general-purpose tools. But when the stakes are high and the data is complex, Tabular AI can truly make the difference.

May 27, 2025
Research
Introducing TabBench: Benchmarking Tabular ML Models for Enterprise Tasks

Introducing TabBench, an open-source benchmark built by Neuralk-AI to evaluate tabular ML models on practical, real-world industry tasks, starting with commerce-related use cases.

June 25, 2025
Research
An introduction to Tabular AI

Discover how Tabular AI can outperform classical ML with instant predictions and minimal manual effort.

June 5, 2025
Research
Tabular AI vs. LLMs: Who wins on enterprise data?

We put our Tabular Foundation Model head-to-head against the recently released LLM-based classifier from Mistral AI, focusing on Product Categorization.

May 15, 2025
Discover more articles

They talk about us

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

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Romain Dillet

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

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Adrien Lelièvre

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

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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
LinkedIn

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

‍


Vincent Luciani
Chief Executive Officer at Artefact
LinkedIn

"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
LinkedIn

Frequently Asked Questions

Learn more about how our AI solution can transform your business

What do you mean by tabular 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, location, etc. In commerce, tabular data often includes product catalogs, customer records and sales transactions.
How can I use your Tabular Foundation Model for my use case?
You can seamlessly connect our solution to your company's data via private API access. 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 does your Tabular Foundation Model 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.

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