AI and data engineering that holds up in production
Stratis Data Labs builds AI agents, the data pipelines and cloud infrastructure underneath them, and the evaluations that show you how they behave once real users arrive. Founder Kyle Stratis has spent more than a decade turning AI research into shipped products for teams at Microsoft, LogicMonitor, and Koch Industries, and wrote O’Reilly’s book on the Model Context Protocol.
Agent Evaluation & Observability
An agent can pass every demo and still pick the wrong tool, make up a tool argument, or hand a user a confident answer that is wrong. None of that throws an exception or shows up in your error rate, so the first report usually comes from a customer.
AI Engineering
Transform operations and unlock value with our AI and machine learning solutions. Whether you’re looking to automate workflows, personalize customer experiences, or drive intelligent predictions, we will bring AI to life in ways that matter to your business.
Cloud Solutions and Architecture
Optimize and scale your infrastructure with the power of the cloud. We specialize in cloud migration, hybrid solutions, and architecture design that enhance agility, security, and cost-efficiency. Whether it’s AWS, Azure, or Google Cloud, we build a roadmap that aligns with your growth goals.
Data Engineering
Seamlessly integrate your systems and modernize your data pipelines for speed, accuracy, and consistency. We streamline processes to ensure that your data flows seamlessly, empowering real-time decision-making and efficient workflows.
Fractional Engineering
Bring us on to your organization to augment your existing R&D or engineering teams, where we can provide technical leadership, mentorship, and hands-on development.
Platform Engineering
Bring us on to your team to help you build a modern, scalable, and maintainable machine learning engineering platform.
Kyle ran a five-part MCP workshop series for our AI Lab team and it was an immensely beneficial program for us. Prior to the series we had been building MCP servers based on self-taught principles and whatever we could find online. After the series we are now confidently building MCP clients and servers effectively, evaluating them properly, and now working toward getting MCP Apps into production. Our last session with Kyle landed on the same day the spec went to 2.0, and he took the time to rebuild the session around those changes on the fly. Highly recommend him to any team trying to get serious about MCP.
