Vertically Applied AI

IP Strategies for AI-Powered Software Companies

Building on foundation models doesn't mean you have no moat. From vertical SaaS adding AI features to companies building sophisticated AI orchestration, there are patentable innovations in how you apply AI to solve domain-specific problems.

#AIWrappers#VerticalSaaS#AIOrchestration#PromptEngineering#ProductDifferentiation#Fintech#LegalTech

Key Considerations

The "No Moat" Misconception

Critics claim AI wrappers have no defensibility because anyone can call the same APIs. But this ignores the genuine innovation in how companies orchestrate, customize, and apply AI to domain-specific problems.

  • • Novel prompt chains and orchestration architectures
  • • Domain-specific fine-tuning and RAG implementations
  • • Unique user experience and workflow innovations

Patentable Innovation in AI Applications

Even if you're building on GPT-4 or Claude, your specific implementation may include patentable innovations—particularly in how you solve domain-specific challenges that foundation models alone cannot.

  • • System architectures combining multiple AI components
  • • Novel approaches to validation and error correction
  • • Industry-specific compliance and safety mechanisms

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Vertical SaaS Adding AI Features: A Patent Strategy Primer

If you're a vertical SaaS company integrating AI capabilities, your domain-specific implementations may be more patentable than you think. Here's how to identify and protect your innovations.

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Beyond Prompt Engineering: When Your AI Orchestration Deserves Patent Protection

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Building an AI-powered software product?

I help software companies identify patentable innovations in their AI implementations and build IP strategies that create real competitive moats—even when building on foundation models.

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