Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Movies, songs, memes, books, and other cultural references can be detected with this LLM-powered model in over 200+ languages. This classifier can instantly consume the content within a pipeline, optimize the content for speed and cost efficiency, and pass into LLM systems. Within the classifier, the LLM response is restructured, the post is augmented with the new metadata, and continues in the pipeline.
Multi-method collection of real-time social media data. Their APIs are ideal for market research, content curation, competitive intelligence, social media monitoring, analyzing live event promotions and influencer outreach.
How Datastreamer works
Quickly apply Datastreamer Cultural Reference Recognition Model to Vetric Social Sources with a Datstreamer Pipeline.
In modern enterprise architecture, web data fuels integration pipelines by bridging internal systems with external data sources such as partner networks and publicly accessible web content.
Transform your web data at scale with Datastreamer. Whether you're enriching, storing, joining, or filtering, you'll find hundreds of ready-made operations to help you move fast.
Datastreamer transforms how you use web data. Grow your Pipelines without disruption and finally streamline the operational side of your workflow.
Add Datastreamer components to your data stack and explore its full capabilities
