Welcome to MetaLark.ai
L&D’s First AI-Driven Content Intelligence Toolkit
Your content is smarter than you think! Extract the secrets hidden inside your learning content using AI-driven processes to unlock added value and save you substantial effort and expense.
Top Benefits
MetaLark.ai dramatically reduces your team’s manual efforts to create content metadata, and ensures consistent, high-quality, AI-generated detail is produced and easily ingested into your existing enterprise learning ecosystem.
Lightning Fast
Don’t go out for coffee. With MetaLark, your content is processed immediately upon upload, in a matter of seconds, providing all the resulting metadata, summaries and skills. Imagine the time savings.
Delightfully Flexible
Simple and elegant to use, MetaLark is brimming with flexibility – from the content ingestion step to the organization and categorization of your collection, to refining and exporting options – all pretty cool.
Incredibly Smart
With superhuman capabilities, MetaLark can assess your entire content ecosystem and provide insights you might otherwise pay tens of thousands to glean; we’re talking some serious bang for your buck.
High Level Feature Sets & Outputs
- AI-generated Metadata
- Exportable Tests with Question Libraries
- Summary Document Creation
- Full-text Searchable Content Encyclopedia
- Skills Inference and Mapping to Industry Standards
- Cross-domain Content organization from Multiple Sources
- Deep Content Analysis for Legacy Learning/Digital Assets
Ideal Use Cases & Target Teams
Content Intelligence
Analyze Content for Substance & Relevancy
Skills Alignment
Align Content with Targeted Skills
Search & Discovery
Find the Needles in the Haystack
Migration / Reuse
Transition Content to a New Platform
MetaLark Parsing Engine
MetaLark is powered by a sophisticated “parsing engine” that leverages machine learning and AI-centric methods to capture, extract, and analyze all of your digital content items in one centralized, secure repository. Once processed, your content items are available for deep analysis and repurposing via a dedicated vector database with a private, fully Integrated Large Language Model (LLM).
Input Methods
Single File/Manual batch (Drag & Drop) APIs to Cloud Repositories Direct-Connect with LMS or CMS.
MetaLark DB & LLM
Expected Results
Rich Metadata for Each Content Item
Searchable Content Encyclopedia
Skills Inventories & Alignment
Full Content Exports to 3rd Party Platforms.
Average Extraction Processing Time for a Typical Content Item
minute
SCORM Course
seconds
PDF File
seconds
Video Clip
seconds
Audio File
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