About Us
DataStreamLabs, your AI & Data partner, specialises in bespoke AI models, data digitisation, custom dataset preparation, analytics, and ML development, driving your business’s growth and innovation with tailored solutions.


We thinkDifferent
At DSLabs, we’re not just another AI company; we’re your dedicated Team AI & Data. Our mission is to empower your business with cutting-edge artificial intelligence and data solutions, tailored precisely to your needs. From crafting bespoke Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) models using your unique datasets, to digitizing and preparing custom datasets through advanced data scraping and unlocking tools, we’ve got you covered.
Our expertise extends to transforming documents for LLM integration, offering insightful consumer and competitive brand analytics, and providing ML development teams tailored for your projects. With our comprehensive AI strategies and consultation services, we ensure your business not only keeps pace with the digital transformation but leads the way. Let DSLabs be the fuel to your company’s AI and data-driven journey, unlocking unprecedented growth and innovation.
A True Partnership
Our use cases in Data, Blockchain and AI Project
Smart Contracts
We create Smart-contracts for any business needs on the Ethereum platform.
Blockchain for supply chain traceability
We know how to make your bold and innovative ideas come true with Hyperledger Fabric
Consumer Insights
Leveraging advanced Natural Language Processing, graph, and ranking models, we specialize in sentiment analysis and deep social listening. Our expertise enables us to deliver predictive and prescriptive analytics that uncover valuable consumer insights, informing strategic decisions across marketing and product development.
Data Preparation for LLM
OCR, image3text, graph2text, table2text, handwriting2text, textual corpora splitting and advanced annotation. Machine and Human annotation.
Claim Assessment
Our AI Assistant streamlines patient claim processing by analyzing medical records and leveraging historical data on professional disease exposure, ensuring accurate and efficient assessments.