UllasLab explores and builds AI-powered software focused on document intelligence, structured data extraction, and dependable workflow automation.
We focus on practical AI applications that help turn unstructured information into useful, verifiable outputs.
An AI-powered document assistant for logistics workflows. Designed to extract structured shipment information, answer questions grounded in document content, and help users review extracted information.
The project explores retrieval-augmented generation, source attribution, confidence indicators, and safeguards against unsupported answers.
Explore the project on GitHub →Exploring language models, document processing, information retrieval, and AI-assisted automation to identify useful, cost-conscious solutions to real-world problems.
We aim to build AI systems that are evaluated for accuracy, grounded in available information, transparent about uncertainty, and practical to operate.
For product discussions, collaboration, or enquiries, contact UllasLab by email.
admin@ullaslab.co.in