Deep experience in patent development, strategy, and prosecution
for neural network processing and edge optimization technologies.
Our team brings extensive experience in intellectual property development, from invention disclosure through prosecution and portfolio strategy. Our founders have developed personal patent portfolios in neural network processing and edge AI optimization.
This expertise informs how we design systems that create defensible competitive advantages for our clients.
IP development experience across core computer vision and edge AI domains
Model optimization techniques, quantization methods, and efficient inference architectures for resource-constrained environments.
Hardware acceleration strategies, model compression algorithms, and deployment frameworks for edge devices.
Object detection and tracking methods, sensor fusion techniques, and real-time processing pipelines.
GPS-alternative navigation systems, celestial positioning approaches, and autonomous localization techniques.
For organizations looking to leverage proven computer vision technologies, we offer flexible licensing arrangements for select innovations developed by our team.
Licensing options are tailored to your deployment scale, market, and integration requirements.
Our IP experience informs how we design systems that create competitive moats for our clients
Novel approach identification. We recognize when a technical solution has invention potential and can guide disclosure strategy.
Competitive landscape analysis. Understanding prior art helps us design solutions that create genuine differentiation.
IP ownership clarity. Our contracts clearly define invention ownership, licensing rights, and commercialization terms.
Commercialization strategy. IP is only valuable if it can be protected and monetized. We design with both in mind.
We believe IP should enable business value, not create legal complexity. Our approach prioritizes clear ownership, flexible licensing, and genuine partnership.
Examples of technical domains where our team has developed patentable innovations
Deep learning-based positioning system using celestial bodies without traditional star catalogs. Enables GPS-alternative navigation for autonomous systems.
Quantization and compression techniques enabling real-time inference on resource-constrained devices without cloud connectivity.
Multi-modal data integration approaches combining visual, thermal, and acoustic sensors for robust detection in contested environments.
Explore licensing options or discuss custom development with IP considerations