Athena Prism™
Enterprise Metadata Intelligence Platform
Athena Prism transforms unstructured content into trusted, searchable metadata. Unlike simple extraction tools, it understands context — not just patterns — automatically identifying, validating, and normalizing metadata across documents, drawings, and enterprise repositories at any scale.
Documents, records, emails, media — in any format, from any source.
Structured extraction, classification, and entity recognition at scale.
Export, integrate, report, and automate — on information you can trust.
Capabilities
Everything metadata intelligence requires.
Built from three decades of enterprise content engagements, Athena Prism addresses the complete metadata problem — not just extraction, but classification, governance, and action.
Intelligent Metadata Extraction
Regular expression parsing identifies candidates, fuzzy logic handles format variations and positioning qualifications, while a multi-layered content classification function qualifies each result before anything is registered. This is what enables Prism to reliably distinguish a part number from an instrument tag, expand compound identifiers into every searchable variant, and write each to the correct field without creating duplicates. What takes a skilled person weeks to process manually, Prism completes in under a second.
Taxonomy Generation & Management
Build and enforce consistent taxonomies across your content repositories. Athena Prism learns your organization's vocabulary and applies it uniformly across millions of records.
Content Classification
Classify documents by subject, sensitivity, retention category, and business domain. Rules-based and adaptive classification models work together to handle real-world content complexity.
Entity Recognition & Linking
Surface people, organizations, locations, dates, and domain-specific entities from within content. Link entities across documents to build a connected knowledge graph of your information.
Enterprise-Scale Processing
Designed for organizations with millions of records. Batch processing, parallel execution, and incremental updates handle the largest content repositories without degrading performance.
Integration-Ready Output
Export structured metadata to ECM platforms, data warehouses, search indexes, or downstream applications via REST API, CSV, XML, or direct database write. No manual handoff required.
Why not full-text search?
Full-text search finds words.
Athena Prism finds what words miss.
Full-text search engines are exceptional at what they do. They are optimized for dictionary words — the kind found in prose, headings, and body text. Most enterprise search deployments handle that layer well.
Metadata tags are different. Asset identifiers, classification codes, proprietary taxonomies, entity markers — these are not dictionary words. They appear in fragments, embedded in structured fields within unstructured documents, expressed in formats no general-purpose search engine is built to recognize. Full-text search passes over them.
The consequence is not obvious failure. It is incompleteness. Your organization finds most of what it looks for, most of the time. What it never finds is the compliance gap it did not know existed, the critical asset it could not locate, the duplicate record it processed twice.
Athena Prism is built specifically for this layer. It does not replace your search platform — it completes it.
Full-text search — what it handles well
- Words, phrases, and sentences in prose
- Keyword and relevance ranking
- Full-document indexing at speed
- Faceted filtering on known fields
Where it falls short
- Compound identifiers — AB-5678-A-F must index every variant, not just the compound form
- Identifiers split across separate text elements on technical drawings
- Non-standard formats — phone numbers, zip codes, and part numbers expressed inconsistently
- Metadata fields embedded within document structures rather than in headers
Athena Prism — built for the gap
- Qualifies every result through a multi-layered content classification function — not pattern-matched guesses
- Expands compound identifiers — AB-5678-A-F becomes seven individually searchable entries
- Assembles identifiers split across text elements on drawings, regardless of drawing scale
- Normalizes any format — phone numbers, zip codes, and part numbers stored consistently
- Never duplicates — only adds metadata that does not already exist
- Handles hundreds of identifiers per document in under a second
Built for technical documents
Tag complex drawings and documents accurately — in milliseconds.
Engineering drawings present a metadata challenge unlike any other document type. Part numbers are often split across separate text elements for formatting — and with drawings that can represent anything from a square mile to less than a square inch, determining which fragments belong together is not a matter of proximity alone. Instrument tags and part numbers share similar structures but are fundamentally different identifiers. Prism distinguishes them.
Regular expression parsing identifies candidates, fuzzy logic handles format variations and positioning qualifications, while a multi-layered content classification function qualifies each result before it is registered. This is what makes the distinction reliable: not pattern matching, but qualified classification. Compound part numbers are expanded into every searchable variant. Nothing is stored until it is qualified, and nothing already present is duplicated. A drawing with hundreds of part numbers and instrument tags takes a skilled person weeks to process manually. Prism completes it in under a second.
OSHA compliance at stake
OSHA requires organizations to maintain accurate, retrievable documentation for equipment, materials, processes, and safety procedures. When that documentation is untagged or mis-tagged, it cannot be located under audit — and the financial exposure is direct. Organizations have faced hundreds of thousands of dollars in fines from documentation failures that a properly tagged drawing library would have prevented.
What accurate drawing metadata delivers
- Search precision — Engineers find the right revision of the right drawing — not a list of partial matches to sift through.
- Regulatory confidence — Every document your auditor asks for is locatable, versioned, and correctly classified.
- Reduced rework — Eliminate the costly mistakes that come from working on the wrong drawing revision.
- Faster collaboration — Cross-functional teams share a single, trusted source of drawing metadata.
How it works
Four steps from raw content to actionable knowledge.
The key is configuration. Athena Prism's extraction engine is driven by a flexible meta-language that precisely describes your data — your tags, your taxonomy, your structure. It does not impose a generic schema on your content; it learns yours.
Once configured, the engine operates at machine speed: megabytes of content processed in milliseconds per document, scaling linearly across millions of records without degradation.
The result is structured, governed, actionable metadata — ready to feed your search platform, your ECM system, your compliance reports, or any downstream workflow.
Connect
Point Athena Prism at your content sources — file shares, SharePoint, Documentum, S3 buckets, databases, email archives, or any repository with an accessible API or file path.
Extract
The extraction engine works in layers: regular expression parsing identifies metadata candidates, fuzzy logic handles format variations and positioning qualifications, while a multi-layered content classification function qualifies each result before it is registered. Compound identifiers are expanded, fragments are assembled, and nothing is duplicated.
Classify
Extracted metadata is run through your configured taxonomy and classification rules. Athena Prism assigns categories, applies retention policies, and flags items for review.
Act
Push enriched metadata to your target systems. Trigger workflows, update records, populate search indexes, generate compliance reports, or feed analytics pipelines — automatically.
What your organization gains
Remove costly, error-prone manual tagging around your most important assets.
Meet regulatory requirements that were previously unachievable with general-purpose search.
Surface information that existed in your content but was invisible to every tool you owned.
Redirect workers from redundant data tasks to the judgment work only humans can do.
Use cases
Purpose-built for organizations where ungoverned content carries real consequences.
Engineering & Manufacturing
Extract metadata from technical drawings, schematics, and CAD documents — title block fields, revision history, part numbers, material specs — in milliseconds per document. Achieve OSHA documentation compliance and eliminate the manual tagging that costs organizations hundreds of thousands of dollars in audit failures and regulatory fines.
Legal & Compliance
Extract matter numbers, parties, dates, and document types from contract repositories. Apply retention schedules automatically. Surface privilege markers before production.
Healthcare & Life Sciences
Classify clinical documents, extract patient identifiers for redaction, and apply HIPAA-required metadata to records across disparate EMR systems.
Financial Services
Tag trading communications, classify records by regulatory category, and build audit-ready metadata trails across email archives and document management systems.
Government & Public Sector
Apply FOIA classifications, extract agency-specific entities, and enforce records management schedules across millions of legacy documents.
Enterprise Content Migration
Enrich migrating content with structured metadata before it lands in the target system — ensuring your new ECM platform is organized from day one.
Knowledge Management
Transform untagged document libraries into searchable, navigable knowledge bases. Surface expertise, connect related content, and reduce time-to-answer for your teams.
Ready to see Athena Prism in action?
Tell us about your content environment and the metadata problem you need to solve. We'll show you exactly how Athena Prism addresses it.