About | Neugent AI

We're engineers who got tired of bad AI.We've seen too many companies get sold generic AI products that underdeliver. We come from research labs and defense firms, where AI has to work the first time and keep working. That background shapes how we approach every project. We started Neugent AI because small and mid-size businesses deserve the same quality of AI engineering that top research institutions and defense contractors get. Not off-the-shelf tools with a thin layer of customization, but actual systems built for their specific problems. We're a small, focused team. That's intentional. Every client works directly with engineers, not account managers.Where our engineers have worked.Our team brings individual backgrounds from some of the most demanding AI environments out there.UC San DiegoResearch CollaborationWe co-developed patent-pending AI diagnostic tools for cardiology with UCSD researchers, currently under patent review.MIT CSAILAI ResearchWe did research at MIT CSAIL, one of the top AI research institutions in the world.Ridgeline InternationalDefense EngineeringWe worked at Ridgeline International building AI for military defense applications, where the bar for accuracy and reliability is as high as it gets.What you can expect from us.We tell you the truthIf AI isn't the right solution for your problem, we'll tell you. We'd rather lose a deal than ship something that doesn't work.We build, we don't consult-and-disappearWe stay involved through deployment and beyond. A recommendation without implementation is just a document.We care about reliabilityWe've built AI for cardiology and defense, where reliability is the requirement. Every project gets that same standard.No hypeWe don't sell you on buzzwords. We talk about your problem, your data, and what's actually achievable given your constraints.Who you'll be working with.We're a small team. Every client works directly with the founders.Kaiden SimonEngineer specializing in AI and fullstack development.5 hrs5 minweekly data work, before and after the app he built1 hr2 sectime to label a medical image, before and after his patent-pending workflowKaiden is an engineer specializing in AI and fullstack development. He's built automation systems that cut processing times from hours to seconds, including an app that reduced 5 hours of weekly data work down to 5 minutes. Across MIT CSAIL and multiple AI startups, he's shipped real-time voice agents, RAG pipelines, and production ML models. His patent-pending medical image segmentation workflow dropped labeling time from 1 hour to 2 seconds, and his deep learning research has been published in a peer-reviewed cardiology journal.Gunoo ShinEngineer specializing in agentic AI systems and fullstack development.20+ hrsof manual work cut every week by the data pipelines he built for businessesGunoo is an engineer specializing in agentic AI systems and fullstack development. He's built AI-powered ETL pipelines for businesses that cut over 20 hours of manual work per week. At Ridgeline International, he designed and deployed an agentic identity report generation service end-to-end into their core product, helping the company automatically detect security vulnerabilities and understand user behavior. He's focused on shipping AI that solves real problems in industry.Let's figure out what you actually need.Free 45-minute call. No slides, no pitch deck. Just a real conversation about your problem.