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A layered AI patent portfolio built through deep collaboration.

An AI security solutions provider running computationally expensive models on live video streams needed more than a single patent — they needed a roadmap. We built one with foundational filings plus continuations and CIPs within twelve months.

Foundational + CIPs
LAYERED PORTFOLIO
<12 mo.
FROM FIRST FILING TO EXPANSION
Real-time
CLAIMS TIED TO LIVE VIDEO PERFORMANCE
// WHY AN AI PATENT STRATEGY MATTERS
Competitive advantage
The AI industry moves fast. Without a proactive IP strategy, companies risk losing ground to competitors.
Investor confidence
A strong patent portfolio signals innovation leadership and attracts funding.
Future-proofing
AI technologies evolve rapidly. Continuations and CIPs allow companies to adapt their IP protection as products and markets change.
// OUR APPROACH

How we ran the matter.

01
Foundational patent application
We began with a comprehensive utility application that captured the core innovation — real-time video processing using advanced neural networks.
02
Real-time performance focus
Claims captured the invention's technical solutions for overcoming the challenges of running computationally expensive AI models on live video streams.
03
Portfolio expansion
Within a year, we strategically filed multiple continuation and continuation-in-part applications to broaden claim scope for incremental improvements, cover future-facing features, and create a layered portfolio that strengthens enforcement and licensing leverage.
// RESULTS

What we delivered.

  • The client now has a robust portfolio, with groundwork laid for protection of both foundational technology and subsequent innovations.
  • This approach positions the client for long-term success, investor confidence, and competitive differentiation.
// KEY TAKEAWAYS
01
Build a strategic portfolio, not just a patent — start with a foundational utility application and expand through continuations and CIPs.
02
Highlight technical solutions — focus claims on engineering breakthroughs that solve real challenges, like enabling real-time performance with computationally expensive AI models.
03
Align with USPTO expectations — draft applications that demonstrate practical application and technical improvements to keep the path through examination clear.
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