Primal Labs
Represent knowledge.
Connect the context
Put it to work in verification
Patents worldwide
Granted patents
Juristictions
Years of applied research
Portfolio figures reported by Primal, checked against its public company overview on 8 September 2026. Granted patents are included in the total. These are portfolio figures, not counts of distinct inventions or currently enforceable claims.
A research lineage
A representative knowledge synthesis record traces its earliest priority to March 2005.
The research predates the current wave of generative AI.
The public records span knowledge representation, semantic relationships, contextual customisation and machine learning.
Related filings extend and develop that work.
Today’s product brings concepts, context and processing rules into applications through a neurosymbolic engine and connected capability packs.
Explore the research landscape
Four entry points into the portfolio.
These research themes help explain the work; they are not a count or classification of legal patent families.
US9104779B2
Represent elemental concepts and processing rules, then analyse and synthesise more complex knowledge structures.
The foundation for assembling knowledge to suit a task.
US8495001B2
Define concepts and synthesise relationships using existing domain definitions.
Research into connecting meaning across representations.
US10474647B2
Adapt knowledge representation systems through a shared kernel and customised modules.
Research into knowledge suited to different consumers and domains.
US11544579B2
Generate training data for a machine learning classifier.
A further connection between knowledge processing and machine learning.
Representative public records, selected to illustrate the breadth and technical lineage. A research connection does not establish that every product feature falls within a particular patent claim.
Understanding the portfolio
Patent Licensing
Primal develops commercial products and also pursues licensing of applicable patent rights.
A licensing relationship can be relevant even when an organization does not use Primal software
Working on knowledge synthesis, contextual personalisation or knowledge representation systems?
Use those technical areas to start a portfolio discussion.
Specific patent relevance requires review.
Discuss the assets, scope, and commercial terms that fit the proposed use.
Each opportunity requires its own assessment.
Learn more
Explore how the research informs Knowledge Core, Primal's neurosymbolic knowledge engine.
Explore Knowledge Core →
Expertise, applied.
Across your work.
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