For Data Science Teams

Data pipelines for
data scientists

Build high-quality AI training datasets and predictive analytics with connected data integration, transformation, and annotation, all through a no-code workflow creator.

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Data Science Pipelines, Accelerated

Less data engineering,
more data science.

Pipelines running on Datastreamer are used by market-leading AI and NLP providers to feed data into their business requirements, all through a no-code workflow creator that removes bottlenecks in data engineering.

Automated data annotation
ML and AI-powered labelling and categorization structure unstructured text, making data ready for analysis.
No-code integrations
End-to-end integrations across transformation, source, ingress, and egress. Automate data ingestion and transformation without writing connector code.
Real-time ready
Purpose built for web data. Extract insights from live and historical streams, such as social media, across your pipelines.
Speed to focus
With the data pipeline automated, you can focus on the next generation of your business intelligence or model development.
Higher-quality datasets
Rapidly build standardized, enriched, and structured datasets, then use them to optimize ML models for trends, customer feedback, and product sentiment.
Higher volumes of data
Handle large volumes of data with cloud-native scalability, pre-built into your pipelines through the underlying Datastreamer platform.
AI-Powered Data Enrichments

Enrich and structure data
as it moves.

No-code pipelines move data through the platform, and AI adoption adds even more enrichment and structuring along the way.

NER with AI
Detect key entities
AI-powered classifiers detect product names, brands, stock tickers, currencies, and more, often used to enrich web data.
Inference with AI
Add business context
Sentiment analysis, demographic and location inference, intent, ESG, and hard news classifiers add a higher level of business value to the data.
Structuring with AI
Open up locked data
Convert PDFs, extract tables and image elements, and run open prompt processing from Gemini and OpenAI to work with previously locked data.
200,000+
enrichments run per second across Datastreamer pipelines
Built and maintained by industry veterans who use these same pipelines to power in-house enrichment and transformation features.
FAQ

Frequently asked questions

What do Datastreamer pipelines do for data science teams?

They integrate, transform, annotate, and enrich web and social data so you can build high-quality training datasets and predictive analytics through a no-code workflow creator. Instead of writing connector code, your team assembles source, ingress, transformation, and egress steps visually. This removes data engineering bottlenecks so scientists spend time on models rather than plumbing.

How does data get into and out of a pipeline?

Data enters through no-code ingress connectors to web and social sources and leaves through egress connectors to your own destinations. Managed Data Streams handle sourcing, enrichment, and delivery for you, while Direct Integrations let advanced teams connect sources using their own API keys. Both live and historical streams are supported, so you can work with real-time and backfilled data.

What enrichments can I apply to my datasets?

AI-powered enrichments run as data moves through the pipeline, including named entity recognition for products, brands, tickers, and currencies. You can add sentiment analysis, demographic and location inference, intent, ESG, and hard news classification for business context. Structuring steps convert PDFs, extract tables and image elements, and run open prompt processing from Gemini and OpenAI to open up previously locked data.

How does pricing work?

Pricing is usage-based, so you pay for the data volume and enrichments your pipelines actually process. This avoids the fixed cost of building and maintaining connectors and enrichment infrastructure in-house. Talk to our sales team and we will help you design the right pipeline and scope the cost for your data science work.

Get Started

Working with social or web data?

Datastreamer is the social and web data orchestration platform trusted by intelligence software companies. Talk to our team and we'll help you design the right pipeline for your data science work.

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Used by market-leading AI and NLP providers. Supported by a dedicated success team.