TabFM

TabFM

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About

What if the CRM software at your company doesn’t integrate with any existing customer survey service. With Gridoc, you can use your preferred customer survey service, and merge collected data with your existing CRM database using Join Tables feature. Several contractors are doing market research for your company. Even though you specified the required format of data, each contractor provides you with slightly different order of columns in their report spreadsheets. With Gridoc, you can merge these spreadsheets into single table using Combine Tables feature that will correctly identify and align columns from different files, sparing you from error-prone manual copy&pasting and fixing the data. One of the inputs into company’s next marketing campaign is a list of purchased products per customer. The e-shops reporting feature is clunky and has only limited functions. On the other hand the list of transactions can be easily downloaded from the e-shops admin interface.

About

TabFM is a zero-shot foundation model for tabular data, designed to simplify classification and regression workflows that traditionally require manual model training, hyperparameter tuning, and domain-specific feature engineering. Built specifically for tables, TabFM reframes tabular prediction as an in-context learning problem: instead of fitting a new supervised model to each dataset, it takes historical training examples and target testing rows together as one unified prompt, then interprets relationships between columns and rows at inference time. Because tables are two-dimensional and orderless, TabFM uses a hybrid architecture that combines alternating row and column attention, row compression, and a dedicated Transformer for in-context learning over compressed row embeddings. This design lets the model capture complex feature interactions and dependencies while keeping prediction computationally efficient for larger datasets.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Companies seeking a solution to upload and combine any number of CSV or Excel files.

Audience

Data scientists and machine learning teams seeking to perform zero-shot classification and regression on tabular data without task-specific training

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Gridoc
Founded: 2013
Slovakia
gridoc.com

Company Information

Google
Founded: 1998
United States
research.google/blog/introducing-tabfm-a-zero-shot-foundation-model-for-tabular-data/

Alternatives

Alternatives

TabPFN-3.5

TabPFN-3.5

Prior Labs
InstaDB

InstaDB

Atinea
Evo 2

Evo 2

Arc Institute
Apache Iceberg

Apache Iceberg

Apache Software Foundation

Categories

Data Management Supported

Categories

AI Models Supported
Foundation Models Supported

Data Management Features

Customer Data Supported
Data Analysis Supported
Data Capture Not Supported
Data Integration Not Supported
Data Migration Supported
Data Quality Control Supported
Data Security Supported
Information Governance Not Supported
Master Data Management Supported
Match & Merge Supported

Integrations

No info available.

Integrations

No info available.
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