IP Copilot

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.

Key Features & Functions include:

Idea Discovery & Harvesting
The platform 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).

Security & Compliance Controls
Deployed via private clusters (e.g., AWS), supports SAML/OAuth2, and the vendor states SOC 2 Type II certification and GDPR compliance.

Funding Information:
IP Copilot has raised a total of $4.2M in funding over 2 rounds. Their latest funding was raised in December 2024 from a Seed round. IP Copilot is funded by 4 investors. Preface Ventures and  Salesforce Ventures are the most recent investors.