UnifyAI

Use Generative AI to Fill Holes in Your Schema

Missing metadata shouldn't leave extremely valuable data unused. Based on user prompts, UnifyAI extracts and generates metadata fields to simplify knowledge retrieval from unstructured text data.

Run Your First Prompt Read the Docs →
Why UnifyAI

Accelerate data structuring
with LLMs.

UnifyAI turns unstructured text into complete, consistent, searchable records, so extremely valuable data no longer goes unused.

Closed metadata gaps
By filling in missing metadata, UnifyAI improves completeness and consistency in data representation.
Consistency across documents
Ensure coherence by standardizing metadata fields across various documents.
Precise metadata generation
UnifyAI creates metadata fields with ease, adding valuable context to every piece of data.
Integration with no fuss
As a component within Datastreamer, UnifyAI fits into your workflows with automated pipelines.
Schema Enrichment Examples

Put prompts to work
on real data.

Define the fields you want, and UnifyAI generates them from the unstructured text you already collect.

Social Media & News
Organize product categories
To better understand consumer trends, a customer may want to break down mentioned products by category. UnifyAI can extract and classify products by generating metadata fields with categories, organizing data with retail-centric insights.
Documents
Extract deadlines from documents
Documents contain key information like deadlines and policy numbers. A user can define the schema of their desired fields, and UnifyAI will build complete, searchable document metadata.
News, Forums, Market Data
Find stock tickers of companies
A user may want to see stock tickers or other identifiers for companies mentioned in articles, forums, or sanctions models. UnifyAI can generate those fields using its pre-trained technology.
How It Works

Three steps from raw text
to enriched schema.

UnifyAI runs as a component inside your Datastreamer pipeline, so structuring happens automatically at scale.

1
Unify your unstructured data
With automated ingestion and schema standardization, Datastreamer helps you unify data from multiple sources into a standardized JSON output that is ready for analysis, NLP enrichments, or LLMs.
External data: integrate external data suppliers in minutes with managed connectors.
Documents: PDFs, CSVs, or any text data can be unified with managed pipelines.
2
Design schema and set prompts
Design prompts in plain English, and UnifyAI will dynamically generate metadata fields. This provides a customizable approach to extracting relevant information from unstructured data.
We're here to help: tell us about your use case and our experts can help you with schema design and prompt engineering, feeding results to your pipelines as a turnkey solution.
3
Let UnifyAI do the work
UnifyAI outputs an organized document structure enriched with the requested metadata fields, which facilitates analysis and adds new insights to the data.
Relevant metadata: built for large-scale pipelines, so results include necessary fields without extra fluff.
Data consistency: results match your designed schema to ensure consistency and completeness across documents.
Run Sample Prompts on Our Web Demo

Test UnifyAI for free.

Working alongside organizations that extract insights from unstructured text, we realized that incorporating generative AI to create metadata can drastically reduce workflow time and add new value to data. We've built an interactive demo for you to see it first-hand, and we're inviting the data community to give us feedback to help shape the tech.

Existing users can log in to Portal, then access the "Playground" under the UnifyAI header in the lefthand menu. New users can sign up for free.

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Get Started

Working with social or web data?

Datastreamer is the social and web data orchestration platform loved by intelligence software companies. Talk to our team about putting UnifyAI to work on your schema.

Book a Demo Read the Documentation →