KamiwazaAI
Matthew Wallace is a seasoned technology executive and entrepreneur, currently serving as Co-Founder and CTO of KamiwazaAI since December 2023, where Matthew leads the development of a developer-centric GenAI engine. As an Official Member of the Forbes Technology Council, Matthew contributes to industry discussions through articles on Forbes. In addition, Matthew hosts the AI Everyday Podcast, focusing on accessible AI topics. Previously, Matthew held key positions at Faction Inc., where significant contributions included the launch of a multi-cloud data service and serving as Chief Technology Officer, and Director roles at Level 3 Communications and ViaWest, among others. Matthew’s extensive experience spans over two decades, including notable achievements at VMware, Double Ewe Software, DAZ Productions, and Exodus Communications, where pioneering efforts established secure managed services. Matthew earned a degree from the University of California, Santa Cruz.
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KamiwazaAI
At Kamiwaza.ai, we're not just part of the AI revolution; we're leading it. Our mission is to empower enterprises for the 5th industrial revolution, aiming to achieve the unprecedented scale of 1 trillion inferences per day. In a world where data is the new currency, and efficiency is the king, we stand at the forefront, redefining the boundaries of what AI can accomplish in the enterprise sector. Our Vision Kamiwaza.ai envisions a future where AI seamlessly integrates into every facet of enterprise operations, driving innovation, efficiency, and growth. We believe that the 5th industrial revolution will be characterized by the intelligent interplay of humans and machines, where AI not only augments human capabilities but also drives autonomous decision-making processes in real-time. Our Technology Our core offering is a uniquely designed Gen AI stack with two key differentiators in our Inference Mesh and locality aware Distributed Data Engine, meticulously crafted to be loosely coupled yet heavily opinionated. This architectural choice reflects our commitment to flexibility and adaptability, allowing businesses to implement AI solutions that are tailor-made for their specific needs while adhering to the highest standards of efficiency and effectiveness. Privacy and Security at the Core Understanding the paramount importance of data privacy and security, our Gen AI stack is built to run models privately with private data. We ensure that enterprises can leverage the full power of AI without compromising on data security or privacy. Our systems are designed to work within the confines of stringent security protocols, ensuring that sensitive information remains protected at all times. Our Goal: 1 Trillion Inferences Per Day Reaching 1 trillion inferences per day is not just a goal; it's a testament to our capability and commitment to scale. This target underscores our dedication to providing AI solutions that are not just powerful but also scalable.