Enrich, predict, and structure the world's conversations

Yes. Datastreamer has a full registry of ready-to-use NLP models. You can also use LLMs in pipelines or plug in your own logic and systems.

Social listening tools provide you with dashboards and predefined metrics, but limit your control of the data itself. Datastreamer delivers structured data directly into your platform. You have fully control in your products over modeling, analytics, and product output.

Yes. Within your pipelines you can apply language detection, translation, and more. Datastreamer's technology supports multilingual content, and handles formatting and encoding issues out of the box.

We abstract each source into a common schema, so your downstream systems don’t have to handle structural drift, missing fields, or format mismatches.

Many organizations are using their pipelines to address gaps in data feeds or enrichments within leading marketing intel platforms.

Recent studies from Social Intelligence Labs have found that 30% of enterprise users seek to customize their existing stack, and an additional 50% export data for additional processing.

You pipelines (that you create within Datastreamer) sits upstream of your dashboards and analytics tools. It replaces the ingestion and enrichment workflows with a managed service. You can also integrate your data sources, existing platforms (like Meltwater, Talkwalker, Brandwatch, Brand24, Sprinklr, etc), and existing models into your pipelines. Giving you full flexibility.

Datastreamer monitors source stability and versioning. When feeds change, we flag schema drift and offer automated fallbacks or alerts for quick remediation.

It’s fully managed. There is no infrastructure to deploy or maintain. We handle scaling, updates, and availability so your team can stay focused on building product.