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🦾The Problem: Creating true in-production AI applications is incredibly complex. The implications for misconfiguration are real, and the traditional approach for building non-AI applications doesn’t translate well into AI/ML. Beyond MLOps and the great toolchains, there needs to be a deeper approach to cater to solving today’s toughest enterprise challenges. 🔍 What is Data Kinetic? Data Kinetic provides a catalog of industry-specific machine-learning models as a subscription service. Our advisory, delivery, and R&D company is committed to delivering applied AI outcomes for industries. We focus on driving meaningful impact by combining modern and proven AI/ML techniques and directly enabling them within existing business systems. 🔬 R&D: Our research concentrates on novel data management and augmentation, LLM/generative use cases for enterprises, and emerging AI techniques such as declarative AI, model performance enhancement, and fit-for-purpose AI agents. 🔧 Platform Agnostic: We'll build on your existing investments. Data Kinetic is designed to work on top of your data infrastructure and build solution outcomes that align the business to deliver direct impact. We actively work with several of the largest AI, Data, and Platform companies to ensure we elegantly work with their technology investments and innovations. 🌐 Applied AI Expertise: Data Kinetic will guide customers and partners through AI adoption, outcome-specific solutions, training, and access to our R&D frameworks when applicable. We'll also help enterprises develop effective strategies, stay ahead of regulations, and choose projects with direct outcomes.

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Nicholas King is the Founder and CEO of Data Kinetic.

2 people are employed at Data Kinetic.

Data Kinetic is based in Austin, Texas.

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