Tabularis.AI Synthetic Data and Private AI

Organization
Tabularis GmbH · Germany
Solution Type
Ready Product / Solution
Collaboration
Licensing, R&D Collaboration

1. Technology overview

Tabularis GmbH, trading as Tabularis.AI, is registered in Heilbronn, Germany, and offers synthetic data and custom AI models that can run on the customer's own infrastructure. Its stated positioning is private, efficient, sovereign AI for teams that cannot send data to external services.

The product range covers synthetic text, tabular, time-series and image data, fast data labeling, knowledge distillation into compact task-specific models, a multilingual Sentiment and Emotion API, and custom models. Deployment can be on-premise, in a VPC or at the edge, and the blog describes an on-premise EU PII Safeguard model for personal data detection.

2. Highlighted features & specifications

  • Synthetic data: generated text, tabular, time-series and image data.
  • Fast data labeling: auto-labeling for text, images, tables, time-series and audio.
  • Knowledge distillation: compresses large models into small specialists.
  • Sentiment and Emotion API: classification in 23 languages.
  • Custom models: specialized AI trained for a specific use case.
  • Deploy anywhere: on-premise, VPC or edge.

3. Potential application

  • Vietnamese banks generating synthetic customer tables for model development and testing.
  • Healthcare providers detecting and redacting personal data in medical documents on-premise.
  • Customer service teams analysing multilingual feedback sentiment without exporting data.

4. Benefits

  • Synthetic data can replace sensitive records for model training and testing.
  • Models run on-premise, in a VPC or at the edge, so data stays under customer control.
  • Compact distilled models run on CPUs and affordable GPUs, with a claimed 10x cheaper inference.
  • The sentiment API starts from USD 19 per month with a free tier.

6. Other information

Legal entity Tabularis GmbH, c/o Campus Founders, Heilbronn, registered at Amtsgericht Stuttgart; CEO Richard Schreiber; research published at ICLR and ICML per the site; blog posts dated November 2025 to March 2026; founding year not stated.

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