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Tabularis.AI
Heilbronn, Germany
What it is
Tabularis.AI generates synthetic data, builds custom AI models, and provides a data-labeling pipeline for deployment on customer infrastructure. Synthetic data formats include tabular data, text, time-series data, and images; the company says generated data contains no real personally identifiable information. Custom models can be trained from scratch or fine-tuned for tasks such as sentiment analysis and medical document processing. Labeling combines foundation-model pre-labeling, active learning, and expert human verification across text, images, tables, time-series data, and audio. The Sentiment API classifies sentiment in 23 languages and supports 11-label multi-label emotion classification. Each text can contain up to 2,000 characters, and endpoint costs range from 1 to 4.5 credits per chunk. Raw data connections include S3, GCS, Azure, BigQuery, Postgres, Kafka, and local mounts. Models can be deployed on-premise, in a VPC, or at the edge, and can work offline. Plans include Free Developer at no cost, Starter at $19 a month, Growth at $99 a month, Business at $249 a month, and Scale at $799 a month; Enterprise pricing is custom. Credits reset each billing period and do not roll over.
For and against
For
- Synthetic data spans four listed formats.
- Labeling includes expert human verification.
- Sentiment classification covers 23 languages.
- Models can work offline.
- Free Developer plan is listed.
Against
- Each text has a 2,000-character maximum.
- Credits reset each billing period without rollover.
- Enterprise pricing is custom.
The verdict
Tabularis.AI combines data generation, model development, labeling, and sentiment tools with customer-side deployment options. Review the credit limits and non-rollover terms when estimating API usage.
Who it suits
Tabularis.AI suits organizations that need synthetic data, custom AI models, or labeling workflows deployed on their own infrastructure. Its listed API and deployment options may fit teams working with text, tables, images, audio, or time-series data.
Plans and prices
Free Developer
10,000 credits / month · 10K sentiment OR 2.5K emotion
Read 4 Oct 2026 · tabularis.ai
Starter
100,000 credits / month · 100K sentiment / 25K emotion
Read 4 Oct 2026 · tabularis.ai
Growth
800,000 credits / month · 800K sentiment / 200K emotion
Read 4 Oct 2026 · tabularis.ai
Business
2,500,000 credits / month · 2.5M sentiment / 625K emotion
Read 4 Oct 2026 · tabularis.ai
Scale
10,000,000 credits / month · 10M sentiment / 2.5M emotion
Read 4 Oct 2026 · tabularis.ai
Enterprise
Custom credits / month · Volume, SLA, on-prem, DPA
Read 4 Oct 2026 · tabularis.ai
On the record
- API capability
- The Sentiment API provides sentiment classification in 23 languages and 11-label multi-label emotion classification.tabularis.ai · read 4 Oct 2026
- API usage limits
- One credit covers one text up to 1,000 characters, endpoint costs range from 1 to 4.5 credits per chunk, and each text has a 2,000-character maximum.tabularis.ai · read 4 Oct 2026
- Company and location
- The maker is Tabularis GmbH, whose listed address is Campus Founders, Bildungscampus 11, 74076 Heilbronn, Germany.tabularis.ai · read 4 Oct 2026
- Compliance
- The homepage says its solutions support GDPR, HIPAA, SOC 2, PCI-DSS, and EU AI Act compliance.tabularis.ai · read 4 Oct 2026
- Custom models
- The company says it trains specialized models from scratch or fine-tunes them for use cases including sentiment analysis and medical document processing.tabularis.ai · read 4 Oct 2026
- Data labeling
- Its labeling pipeline combines foundation-model pre-labeling, active learning, and expert human verification across text, images, tables, time-series, and audio.tabularis.ai · read 4 Oct 2026
- Deployment
- The company describes deployment on-premise, in a VPC, or at the edge, and says its models can work offline.tabularis.ai · read 4 Oct 2026
- Integrations
- The labeling page says raw data can be connected from S3, GCS, Azure, BigQuery, Postgres, Kafka, or local mounts.tabularis.ai · read 4 Oct 2026
- Notable limit
- The Sentiment API page says credits reset each billing period and do not roll over.tabularis.ai · read 4 Oct 2026
- Privacy
- For the Sentiment API, request text is used for inference and discarded after the response while operational logs store metadata only.tabularis.ai · read 4 Oct 2026
- Product
- Tabularis.AI generates synthetic data and builds custom AI models deployed on customer infrastructure.tabularis.ai · read 4 Oct 2026
- Service levels
- The Sentiment API page states 99.9% SLA for Business, 99.95% for Scale, custom SLAs for Enterprise, and best-effort service for Free and Starter.tabularis.ai · read 4 Oct 2026
- Support
- The homepage describes continuous optimization and support as customer AI deployments scale.tabularis.ai · read 4 Oct 2026
- Synthetic data
- It generates training data across tabular, text, time-series, and image formats, with the FAQ describing zero real PII in generated data.tabularis.ai · read 4 Oct 2026
