Description
AIGROW PatX (知小寻) is a specialized patent-native AI agent and large model application system developed by AIGROW (简爱数智). This platform is engineered to streamline and enhance the entire patent application lifecycle for enterprises and patent agencies. It leverages advanced AI capabilities and a patent-specific large language model to provide end-to-end digital services.
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The core functionalities of PatX span five critical stages of patent applications. These include refining technical disclosures by aggregating multi-source materials into complete and accurate documents, enhancing application drafts by generating claims, specifications, and flowcharts with full-text formality review, and assisting with office action responses by parsing examination focus, devising response strategies, and producing high-quality replies. Additionally, PatX offers formal compliance review through a dual-engine system combining LLM and rules to automatically identify formality issues, and supports novelty searches to ensure the uniqueness of inventions.
AIGROW's approach integrates a "hardware + software + service" delivery model, providing a secure, reliable, and high-quality patent digitalization application system. Beyond patent applications, AIGROW also offers AideX, an enterprise knowledge management engine, which helps organizations build their own large model knowledge management and application engine to efficiently consolidate and utilize core knowledge assets.
The platform boasts several technical advantages, including deeply customized patent-native agents tailored for the patent domain, multimodal model integration for high-precision understanding of figures and formulas, and a high-performance architecture supporting real-time streaming and high concurrency for enterprise-grade workloads. AIGROW is also recognized for its research, with its joint work with Columbia University on a dual-agent framework for claim drafting accepted at AAAI-26.
Security is a paramount concern for PatX, featuring a multi-layered framework that includes data safeguards like on-premise deployment options, layered encryption, granular access control, and comprehensive audit trails. The company holds ISO/IEC 27001 Information Security Management System and ISO 9001 Quality Management System certifications, demonstrating its commitment to data protection and quality. Furthermore, PatX utilizes independently developed core AI algorithms that support private agent-system and on-premises model deployment, aligning with national data security and AI regulatory requirements.
- CategoryAI Legal Assistants
- Pricing ModelContact for Quote
- DeploymentCloud, On-Premise
- PlatformsWeb
AIGROW PatX (知小寻)'s Core Features
Technical Disclosure Refinement
Application Draft Enhancement
Office Action Response Generation
Formal Compliance Review
Novelty Search Assistance
Patent-Native AI Agents
Multimodal Model Integration
High-Performance Architecture
Data Safeguards (On-premise & Cloud)
ISO/IEC 27001 Certified Information Security
ISO 9001 Certified Quality Management
Self-Controlled AI Algorithms
Private Agent-System Deployment
On-Premises Model Deployment
How to use AIGROW PatX (知小寻)?
Submit Invention Details: Provide multi-source materials for your technical disclosure.
Generate Application Drafts: Utilize the system to create claims, specifications, and flowcharts.
Conduct Formal Review: Automatically check for formality issues using the dual-engine review.
Respond to Office Actions: Parse examination focus and generate high-quality replies.
Manage Patent Lifecycle: Oversee all stages from disclosure to response within the platform.
AIGROW PatX (知小寻)'s Use Cases
- Patent Application Drafting
- Technical Disclosure Preparation
- Office Action Response
- Formal Compliance Review
- Novelty Search
- Enterprise Knowledge Management
