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While enterprises race to adopt generative AI, most overlook the unsustainable costs and black-box nature of conventional LLMs. Our partnership with Liquid AI delivers a breakthrough alternative: Liquid Neural Networks that offer 80% smaller computational footprints with comparable performance - bringing explainability and cost efficiency to enterprise AI initiatives without sacrificing capability.
“Future-leading enterprises will master data's triple value: mining historical insights, perfecting current operations, and - most critically - engineering tomorrow's opportunities. While competitors focus solely on AI productivity gains, true innovators will leverage Hybrid AI architectures that combine process automation with generative design - where Liquid Neural Networks emerge as the enabling technology for this dual transformation.” Andy Vickers, CTO of Generative AI at JDU Consulting Engineering
“Future-leading enterprises will master data's triple value: mining historical insights, perfecting current operations, and - most critically - engineering tomorrow's opportunities. While competitors focus solely on AI productivity gains, true innovators will leverage Hybrid AI architectures that combine process automation with generative design - where Liquid Neural Networks emerge as the enabling technology for this dual transformation.”
Born from MIT CSAIL's pioneering research, Liquid AI is revolutionizing neural architecture through biologically-inspired design. Their Liquid Neural Networks (LNNs) deliver unprecedented capabilities for processing temporal data streams - enabling enterprises to transform real-time video, audio, and sensor data into immediate competitive insights at the edge.
Our research reveals a critical gap: while 89% of Fortune 500 companies have active GenAI initiatives, fewer than 1 in 5 have moved beyond pilot phase. The culprits? Soaring cloud costs averaging $4.3M monthly per LLM application, coupled with unaddressable explainability concerns - creating an unsustainable path to AI adoption.
This partnership represents a convergence of cutting-edge research and enterprise AI leadership. Building on JDU Consulting's three-year collaboration with MIT CSAIL on trustworthy AI frameworks and our early investment in Liquid AI's seed round, we're now positioned to deliver first-access to revolutionary Liquid Neural Networks - giving your organization a 12-18 month competitive advantage in next-generation AI adoption.
Through our Liquid AI alliance, we deliver a complete enterprise AI solution - combining MIT-validated research with industry-ready implementation. Liquid Neural Networks adapt to your proprietary data, solving previously intractable challenges across operations while excelling in dynamic environments from factory floors to mobile edge applications.
“In today's exponential tech landscape, market leaders don't adapt to change - they architect it. Our Liquid AI partnership represents more than another AI solution; it's your gateway to Augmented Engineering - where generative capabilities merge with human expertise to redefine what's possible. While others chase trends, we're building the future of industrial AI.” Andy Vickers, CTO of Generative AI at JDU Consulting Engineering
“In today's exponential tech landscape, market leaders don't adapt to change - they architect it. Our Liquid AI partnership represents more than another AI solution; it's your gateway to Augmented Engineering - where generative capabilities merge with human expertise to redefine what's possible. While others chase trends, we're building the future of industrial AI.”
Helping your businesses turn real-time data into a competitive advantage.
Deploy smaller, more sustainable Generative AI models compatible with offline and edge devices.
A pioneering partnership that supports a proactive approach to innovation.
In the AI arms race, there are no consolation prizes for second place. Our Liquid AI partnership provides the decisive advantage - combining sustainable AI architecture with JDU Consulting's enterprise-grade implementation to turn technological disruption into your competitive moat. The future belongs to those who act now.
