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A Simple API for Complex Data:
Standardize data structures with automated transformations.
Fill the holes in your metadata with the power of Generative AI.
Instantly deploy specialized NLP models to filter & refine data.
Pre-built integrations to databases and top data vendors.
Purpose Built for Diverse Data:
AI-Driven ETL
Real-Time Streaming
Searchable Storage
Multi-Source Ingestion
We Help Data Teams Build Products Faster:
For platforms that offer threat alerts or proactive risk reports.
For teams preparing data for custom LLMs or predictive models.
For intelligence teams that deliver insights to law firm stakeholders.
For social listening tools that analyze consumer trends for R&D insights.
Unify Diverse Data to Enable:
Federated Queries
Real-Time Monitoring
Database Storage
AI Model Training
Learn More:
For social intelligence tools monitoring data from multiple web sources, Datastreamer saves you months of engineering work when integrating external data suppliers – so you can focus on ROI instead of ETL.
Data engineers can readily combine multiple sources into your dashboards without worrying about ETL for diverse data formats.
Automated pipelines ensure a steady flow of web data from multiple vendors for real-time monitoring of your customer’s brand.
Instantly deploy pre-integrated NLP models to get greater accuracy than filtering with keywords.
Feed structured, high quality training data into your predictive AI models for optimal performance.
Building pipelines for each unstructured data source can take 720+ hours of engineering time 1
Different sources deliver data in diverse formats. Unifying structures through custom scripts and manual normalization drains engineering time.
Unstructured text requires NLP or other ML models to refine data for faster extraction, or expand insights with added context in the metadata.
Integrating massive real-time data streams takes weeks of work from technical teams, leading to a piled-up backlog of integration efforts.
Sustaining pipelines that channel data into your product require constant maintenance and heavy infrastructure to support.
Datastreamer pulls unstructured data from different sources and delivers it to your products in the structured format you need.
With automated ingestion & schema standardization, unify data from multiple sources into a consistent, usable structure.
Pre-built connectors to top data vendors take minutes to integrate into your product, with zero maintenance required.
Instantly deploy pre-integrated NLP models to enable a greater contextual understanding and save time on analysis.
Most ETL tools don’t work with unstructured data. We specialize in it. Build, host, and manage pipelines from a single API platform.
Based on user prompts – UnifyAI extracts and generates metadata fields to fill holes in data schema, adding new value to your data.
Example Pipeline – Consumer Insights: This data pipeline feeds user-generated content into a consumer insights product used by Fortune 500 companies.