Data pipelines for data SCIENTISTS
Accelerate Data Science with seamless workflows
Accelerate your workflows with seamless data integration, transformation, and annotation.
Pipelines that help you craft high-quality AI training datasets and predictive analytics
Pipelines running on Datastreamer are used by market-leading AI and NLP providers to streamline how data can feed into your business requirements. All accessible through a no-code workflow creator to simplify bottlenecks in data engineering and development needs.
Data science pipelines: Accelerated
Automated Data Annotation
ML and AI-powered labelling and categorization capabilities, give you the ability to structure unstructured text, making data ready for analysis.
Effortless Integrations
No code, end-to-end integrations to transformation, source, ingress, and egress capabilities; automate data ingestion and transformation.
Real-time Ready
Purpose built to meet web data requirements, your Pipelines can help you extract insights from live and historical web data streams, such as social media streams.
Speed to focus
With automation of the data pipeline requirements, you can focus on crafting the next generation of your business intelligence or model development.
Higher-quality datasets
Rapidly build standardized, enriched, and structured datasets. Leverage these to optimize ML models to analyze trends, customer feedback, and product sentiment.
Higher volumes of data
Handle large volumes of data seamlessly with cloud-native scalability, pre-built into your new Pipelines, thanks to the underlying Datastreamer platform.
Higher accessibility to data
Leverage the partner ecosystem within the platform to source, discovery, integration, and connect new sources of data and data enrichments.
Meet Sharvari - Data scientist extraordinaire
Sharvari is a senior data scientist at Datastreamer, and created this page. The team at Datastreamer is built from industry veterans, and Sharvari is an expert in using pipelines running Datastreamer to power our in-house enrichment and transformation feature development.
enrichments per month
Over 200,000 enrichments are run per second across Datastreamer pipelines
AI-Powered data enrichments
With no-code pipelines that streamline data movement, AI-adoption enables even more enrichment, and structuring.
NER with AI
AI-powered classifiers that detect key entities, product names, brands, stock tickers, currencies, and more; are often used to enrich web data.
Inference with AI
Sentiment analysis, demographic and location inference, intent, ESG, hard news; these types of classifiers are used to provide higher level of business value in the data.
Structuring with AI
Conversion of PDFs, extracting tables, image elements, open prompt processing from Gemini and OpenAI allow freedom on previously locked data.
FREEDOM from pipeline chores
Build smarter pipelines
With simple no-code pipelines, AI-powered enrichment capabilities, fully managed and automated infrastrucutre, it just makes sense to build Pipelines that run on Datastreamer.