Built for high-volume, data-intensive workflows, UniDex helps reduce manual review, improve consistency, accelerate processing, and scale document operations more efficiently.
UniDex is a multi-model engine that combines generative AI, machine learning and algorithms to classify, index, extract and validate structured and unstructured documents, turning complex information into data your organization can use
See UniDex in Action4 Million
Average number of documents
processed a month.
97%
Accuracy
50,000 documents/hour
Capacity to scale on short notice.
Processing large volumes of documents can require significant time, resources, and manual review especially when information arrives in different formats and needs to move through multiple workflows.
UniDex brings those processes together in one configurable platform. From document ingestion and classification through extraction, validation, and delivery, UniDex helps document- and data-intensive organizations turn complex information into structured, usable data.
Key Capabilities
Automatically identify, classify, organize, and stack documents according to your workflow and document requirements.
Extract key information from complex documents and convert unstructured content into organized, structured data.
Validates extracted information and delivers data in a consistent format for downstream processes and systems.
Document workflows are rarely one-size-fits-all. UniDex can be configured around the documents,
data fields, validation requirements, and processes your organization already uses.
Adapt document types, templates, data fields, and workflows around specific business requirements.
Process increasing document volumes without having to scale manual effort at the same rate.
Connect extracted data and document workflows with existing systems and downstream processes.
UniDex can support mortgage, title, tax, legal, and other document- and data-intensive operations
where information needs to be identified, extracted, validated, and delivered efficiently.
Support title production with smart indexing, structured data extraction, abstract typing, commitment typing, legal description typing, and coversheet preparation.
Organize high-volume records, classify documents, extract key information, and convert unstructured files into usable, structured data.
Configure UniDex around specialized documents, fields, and processes where manual document review creates operational complexity.
UniDex helps organizations create a faster, more structured path from
incoming documents to actionable information.
Automate repetitive classification, indexing, and extraction activities.
Apply structured workflows and validation across document processing.
Make critical information available sooner for downstream workflows and decisions.
Support growing document volumes and expanding use cases through configurable automation.
Technology is most effective when it understands the process it supports.
UniDex combines AI-powered document intelligence with Stellar Innovations' data and operational expertise to help clients configure solutions around their documents, workflows, and business requirements.
From an individual process to enterprise-scale document operations, UniDex is designed to evolve as your needs change.
Schedule a UniDex DemoStill have questions? Contact Us.
UniDex is Stellar’s intelligent document processing (IDP) platform. It is a multi-model engine that combines generative AI, machine learning and algorithms to classify, index, extract and validate data from structured and unstructured documents.
UniDex can automate document classification and stacking, data extraction, indexing, validation, and structured data delivery. Its configurable workflows allow organizations to adapt the platform to different document types and business requirements.
UniDex can support mortgage, title, tax, legal, and other data-intensive industries where organizations need to process large volumes of documents and convert unstructured information into usable data.
Yes. UniDex is designed to connect document processing and extracted data with existing applications and downstream workflows, allowing organizations to introduce automation without creating another disconnected process.