Ip Copilot
Ip Copilot is an AI-powered intellectual property (IP) management platform designed to assist organizations in uncovering, assessing, protecting, and managing inventions and trade secrets throughout their lifecycle. The system offers capabilities such as automated idea discovery, invention disclosure scoring, prior-art search, and workflow management for portfolios of patents and trade secrets. Ip Copilot uses proprietary machine-learning and generative-AI models to surface, assess, and manage intellectual property across an organization. Its AI identifies potential inventions from internal communications and repositories, performs rapid prior-art searches, scores invention disclosures, and automates IP portfolio workflows. All models run within private, secure deployments, and no customer data is used to train external systems.
Features
- Idea Discovery & Harvesting: Scans structured and unstructured sources—including documents, communications, and code repositories—to surface emerging innovations and inventor activity across an organization.
- Invention Disclosure & Scoring: Provides an AI-assisted disclosure form, and automatically tags and scores invention candidates based on criteria such as novelty, business alignment, detectability, and eligibility for patenting.
- Prior Art Search & Analysis: Offers rapid prior-art search and patentability assessment via machine learning and summarization, enabling quicker decision-making on filings.
- IP Workflow & Portfolio Management: Includes features for docketing, budgeting, renewals, awards workflows, portfolio analytics, and lifecycle management for patents and trade secrets.
- Integrations & Deployment Options: Connects with workplace tools (such as Slack, Jira, Confluence, GitHub) via real-time idea feeds and offers open APIs and custom endpoints; deployable in isolated enterprise environments with data control (no third-party AI training on customer data).
Categories
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