Build an AI Patent Analysis System
Intelligent patent research and analysis platform that extracts insights from patent documents, identifies prior art, and maps technology landscapes using LLM-powered agents.
Document Ingestion & Parsing
Convert patent PDFs and filings into structured, LLM-ready text with metadata preservation
Purpose-built document converter that handles complex patent layouts with tables, figures, and nested claims while preserving structure
Strong PDF-to-markdown pipeline that handles multi-column patent formats and chemical/mathematical formulas common in patents
Broad document processing toolkit with support for diverse patent file formats including XML, HTML, and scanned PDFs
Vector Storage & Retrieval
Index patent embeddings for semantic prior art search and technology landscape mapping
High-performance vector database with advanced filtering—critical for narrowing patent searches by date, jurisdiction, classification codes, and assignee
Lightweight vector store that works well for prototyping patent search with minimal infrastructure overhead
Hybrid vector+keyword search enables matching both semantic concepts and exact patent terminology like claim language
AI Orchestration & Analysis Agents
Multi-agent pipeline for claim analysis, prior art comparison, patentability assessment, and landscape mapping
Graph-based agent orchestration enables complex patent analysis workflows—claim decomposition, prior art matching, novelty scoring—as composable directed graphs
Role-based agents map naturally to patent analysis personas: prior art searcher, claim analyst, patentability assessor, and landscape mapper
Programmatic prompt optimization ensures consistent, high-quality patent claim extraction and classification without manual prompt tuning
LLM Gateway & Observability
Route patent analysis queries to optimal models with cost control and full traceability for legal compliance
Unified gateway to 100+ LLMs lets you route complex claim analysis to stronger models while using cheaper models for classification tasks—critical for cost control at patent-corpus scale
LLM observability platform provides audit trails for every AI-generated patent assessment—essential for legal defensibility and quality assurance
AI observability with evaluation tools to measure retrieval quality and detect hallucinations in patent claim interpretation
Research Interface & Reporting
Interactive patent research UI for analysts to query, visualize technology landscapes, and generate reports
Build conversational patent research interface where analysts ask natural language questions and get sourced answers with claim citations and patent references
Feature-rich chat UI supports document upload for ad-hoc patent analysis and multi-model comparison of claim interpretations
Full RAG platform with built-in document chunking and citation—provides end-to-end patent Q&A with traceable references back to specific patent sections