fewShotAI : few annotations, thanks to generative AI applied to annotated documents, to multiply performance.
quality : module to validate the quality of extracted data, according to criteria for each data type.
API access.
Technical prerequisites
The AI solution is designed to work on a server architecture with GPU. Recommended configuration: 32-core CPU, 128GB RAM, 1TB SSD storage + 2TB HDD, RTX A6000 GPU (48 GB).
A setup documentation is provided with the solution.
The following features (which are either in pre-production or require configuration assistance) are not deployed in the free version:
rights: advanced user role and rights management module for the platform.
reTrain: intelligent model retraining planning.
autoImproveAI: the model automatically self-feeds to improve performance.
arbitrageAI: the arbitration interface includes advanced features such as model retro-improvement, the possibility to arbitrate files (session of several documents), workflow replay, suggestion of new labels on unrecognized documents, correction on historical documents.
flows: you build in-app advanced data processing workflows.
compute: you build calculation rules for data validation.
lookup: universal connector for querying third-party services (API, SQL).