Accelerate customer model deployment by streamlining data pipelines. Integrate the sources and destinations your AI and NLP products need, so models reach production faster.
Shorten integration timelines, reduce drop-off during onboarding, and increase usage by improving data reliability.
The same managed pipeline handles the flows around your models, from raw inputs to delivered outputs.
Averages drawn from customers running AI and NLP data pipelines on the platform.
Datastreamer builds and manages the data pipelines that feed and connect your AI and NLP models. It integrates the sources your models need, normalizes unstructured inputs into a consistent structure, and routes model outputs to the downstream tools your customers use. This shortens integration timelines so customer models reach production faster.
Data comes in through managed connections to web and social sources, gets normalized and processed in flight, then flows to your model and onward to your destinations. The same managed pipeline handles both routing data into your model and moving its outputs to systems that depend on them. Pre-built connectors reach destinations such as Databricks, Snowflake, and Google Cloud.
Datastreamer replaces repeated manual integration work with pipelines that run on their own, so you avoid long build cycles for each new source or destination. Teams add reliable inputs and support more use cases without rebuilding their data plumbing every time. This turns recurring professional-services effort into managed automation.
Pricing is usage-based, so what you pay reflects the volume of data your pipelines process. Because the right setup depends on your sources, enrichments, and destinations, the best next step is to talk to our team for a plan matched to your needs. Use the Talk to Sales link to get started.
Talk to our team. We'll help you connect the sources and destinations your AI and NLP products need and get customer models to production faster.
Fully managed infrastructure for real-time and batch workflows, with pre-built connectors to Databricks, Snowflake, and Google Cloud.