TABULARIS.AI

SYNTHETIC DATA · CUSTOM MODELS · SOVEREIGN AI

For ML engineers, data teams, and regulated industries

Need more training data? We generate it. Need a custom AI model? We build it.

From synthetic data generation to specialized models trained from scratch - we deliver production-ready AI, deployed on your infrastructure. Any data type. Any complexity.

GDPR / HIPAA / SOC 2 Ready 500K+ Monthly Downloads On-Premise and Edge Deployment

Trusted by

Synthetic Data

Generate realistic text, tabular, time-series, and image data for training.

→ GDPR-compliant by design

Custom Models

Specialized AI trained from scratch for your exact use case.

→ Outperform general-purpose LLMs

Knowledge Distillation

Compress GPT-4 or Claude into fast, deployable models.

→ 10x cheaper inference

Deploy Anywhere

On-prem, VPC, or edge. No cloud, no data leaks.

→ Full data sovereignty

Why Now?

AI projects fail because of data, not algorithms. You can't get enough training data. The data you have is too sensitive to share. Cloud APIs leak it, cost a fortune, and fail compliance audits. Meanwhile, the hardware in your office is more powerful than what trained GPT-2.

The bottleneck isn't compute. It's data and sovereignty.

How We Do It

We generate the synthetic data you need, then build compact task-specialized models from it. They run efficiently on CPUs and affordable GPUs using advanced quantization and knowledge distillation.

Zero latency, full data sovereignty
Up to 90% cost reduction vs. cloud APIs
Works offline, anywhere

What We Deliver

End-to-end AI solutions, from data to deployment.

01

Synthetic Data Generation

Generate realistic training data across text, tabular, time-series, and images. Train AI models without exposing real data. GDPR-compliant by design.

Text Tabular Time-Series Images
02

Custom AI Models

Specialized models trained from scratch or fine-tuned for your exact use case. From sentiment analysis to medical document processing - any complexity.

NLP Classification Extraction Generation
03

Deployment & Optimization

Models deployed on your infrastructure. Quantized for speed, optimized for cost. On-prem, VPC, or edge - with full data sovereignty.

On-Premise Edge VPC Offline

Real-world use cases

What teams run with Tabularis today.

Multilingual Sentiment Analysis

Analyze customer feedback in 23 languages. Detect emotions, themes, and sentiment across global markets.

Works with CSV/JSON, S3, BigQuery streams

Labels: sentiment, emotion, topic, urgency

Deploy in your VPC or on-prem

View on HuggingFace →

PII Detection & Redaction

Identify and redact 42 types of personal data in EU languages. Keep sensitive information out of analytics and training pipelines.

Finds names, addresses, IBANs, IDs, emails, phones

Redact, hash, or replace with tokens

GDPR-first; batch or real-time via API

View on HuggingFace →

Medical Documents (DE)

Extract structure and insights from German Arztbriefe and clinical notes without PHI leaving your system.

Summarization tuned for medical text

On-prem deployment for data sovereignty

Audit logs + simple review UI

Talk to Founders →

Synthetic Data + Knowledge Distillation

Transfer intelligence from large models to efficient task-specific ones. Generate hyper-realistic synthetic data across text, images, and tables while protecting sensitive information.

Distill ChatGPT or Claude into compact domain experts

Privacy-first: train without real data exposure

Production-ready: fast, cost-effective inference

Talk to Founders →
Monthly Downloads
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Cost Reduction
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500k+ monthly downloads. Our open-source models power teams worldwide.

Built on Research. Ready for Production.

Our models are grounded in peer-reviewed research from the University of Tübingen, published at top venues like ICLR and ICML. We don't just deploy AI - we invented the methods behind it.

ICLR & ICML Published Research
Uni Tübingen & TUM Academic Roots
Open Source 500k+ Monthly Downloads
View Our Research → Meet the Team →

How to Start

Enterprise AI deployment in three steps

1

Assess

We analyze your requirements and design specialized models for your use case.

2

Deploy

Models deploy in your environment on-premise, VPC, or edge with seamless integration.

3

Monitor

Continuous optimization and support as your AI scales with your business.

Frequently Asked Questions

What types of synthetic data can you generate?

We generate realistic synthetic data across tabular (CSV, Parquet), text (NLP training data, documents), time-series, and images. All generated data preserves statistical properties while containing zero real PII.

How does custom model training work?

We analyze your use case, design a model architecture, train on your data (or synthetic data), and deliver optimized models. From simple classifiers to complex language models - any complexity, delivered production-ready.

Is on-premise AI really cheaper than cloud APIs?

Yes. Enterprise cloud AI API spending averages $50,000–$100,000/month for mid-scale deployments. On-premise deployment with optimized models typically achieves 70–90% cost savings with predictable fixed costs.

Which compliance standards do you support?

Our solutions support GDPR, HIPAA, SOC 2, PCI-DSS, and EU AI Act compliance. On-premise deployment keeps all data within your controlled environment, satisfying data residency requirements.

Ready to Get Started?

From synthetic data to production models - let's build your AI together.