Vectorisation as a Service:
AI-ready patent data for semantic search, indexing, and vectorsDrop-in AI capabilities built on Lighthouse IP’s harmonised global patent full text and metadata. Ship semantic search, similarity, clustering, and AI-assisted workflows without rebuilding your patent data foundation.
The problem: keyword search is no longer enough
Patent language evolves constantly. The same invention may be described using different terminology across jurisdictions, time periods, and technical domains. Keyword-only search struggles to keep up, often missing relevant prior art or returning excessive noise that analysts must manually review.
Semantic methods solve this by capturing meaning and context, enabling discovery of related inventions even when the wording differs. This is the foundation required for modern AI-driven patent search and analytics.
Built on harmonised patent data
All Lighthouse IP AI services are built on a harmonised global patent dataset, where full text, identifiers, bibliographic metadata, and legal status are aligned and traceable.
This foundation reduces brittle joins, manual clean-up, and integration risk, providing a reliable base layer for AI-powered search, analytics, and decision-making.
“Lighthouse IP’s data is the backbone of our AI product pipelines. They have harmonised millions of IP documents into one reliable feed.”
Thanasi Marinides, CEO, Cintian AI
Three ways to deploy AI into your patent workflows
Lighthouse IP offers flexible delivery models so you can add AI capabilities in the way that best fits your product, infrastructure, and risk profile.
AI Search API
Add semantic search and ranking to your product fast. The AI Search API provides ready-to-integrate semantic retrieval across global patent data, designed for discovery-driven workflows.
Best for
– Patent analytics platforms adding AI-powered search features
– Patent service providers modernising prior-art and landscape workflows
– In-house teams that want semantic search without running infrastructure
Typical use cases
-> Semantic prior-art discovery with improved recall
-> Smarter ranking and relevance ordering
-> “Search then filter” workflows using bibliographic and legal status data
Why choose the API
Choose the API if your goal is to launch AI-powered patent search quickly, with minimal engineering effort.
Index as a Service
Prebuilt indices for high-performance search at scale. Index as a Service delivers search-ready indices built on harmonised patent data, enabling fast retrieval, similarity search, and hybrid approaches.
Best for
– Teams that require predictable performance and low latency;
– Products operating at large scale with heavy query volumes;
– Organisations standardising their own internal search infrastructure.
Typical use cases
-> High-throughput similarity search and clustering;
-> Portfolio and competitor mapping;
-> Hybrid keyword and semantic retrieval without months of indexing work.
Why choose indices
Choose Index as a Service when you want control over performance and scalability while avoiding the operational burden of building and maintaining indices from scratch.
Vectors as a Service
AI-ready semantic embeddings for global patent data. Vectors convert patent text into numerical representations of meaning. Instead of relying on endless keyword refinements, teams can compare, group, and rank patents based on semantic similarity.
Best for
– Analytics teams building custom AI and machine learning models;
– Platforms that require maximum flexibility in retrieval and ranking;
– Data science teams working on clustering, classification, and prediction.
Typical use cases
-> Technology landscape analysis and clustering;
-> Standards and SEP discovery;
-> Automated watching and monitoring;
-> Licensing, infringement, and opposition support.
Why choose vectors
Choose Vectors as a Service when you want full control over downstream AI workflows and the freedom to build differentiated analytics and models.
Who is this for?
Patent service providers and analytics companies.
Add semantic search, similarity, clustering, and AI-assisted discovery as product features without rebuilding your patent data pipeline.
In-house teams and law firms
Deploy AI internally while maintaining full control over your data. Build secure, private workflows that reduce dependency risk and protect sensitive IP.
Ready to add AI capabilities to your patent workflows?
Tell us what you are building, whether it is prior-art search, landscapes, monitoring, SEP analysis, or licensing. We will recommend the fastest and most effective path: AI Search API, Index as a Service, or Vectors as a Service.
Contact Lighthouse IP to get started.