Outcomes over activity
More prompts, tokens, and generated code do not automatically mean more business value. The outcome is what matters.
About Spaces
We know what it takes to
transform engineering with AI.
Our mission is to help every engineering organization build at the speed and scale AI makes possible.
Our storyCoding agents helped individual developers move faster. The tools we had for managing our teams couldn’t keep pace.
We brought AI into our engineering organizations—and soon found ourselves rethinking how the entire organization worked.
We saw developers finish in hours what had been planned for days. But the tools we had couldn’t manage work across people and agents, show whether faster coding was improving delivery, or connect AI spend to project outcomes. We had tools that made individuals faster, but no system for managing and measuring AI across engineering.
We started Spaces because AI is changing more than how code gets written. It is changing how engineering organizations operate.
Our Vision
When we understand how AI works through measurement and observation, its full potential is at our fingertips. We believe in a future where every team is able to use AI efficiently, responsibly, and cost effectively. Spaces gives engineering teams the tools and measurements they need to supercharge their agentic practice to reach that future.
Our Values
Evidence over anecdotes
AI should be held to the same standard as any other investment. The evidence should be clear, and the method behind it should hold up to scrutiny.
Adaptation over convention
AI changed the pace of the work. Planning, context, measurement, and management have to adapt with it.
We have deep experience with managing, deploying — and using — AI at scale.
Formerly VP of AI & Engineering at HDAI, leading the development and deployment of AI/LLM algorithms into leading healthcare systems. Earlier work includes ML operations at PathAI, and ML in anesthesia and radiology at Mass General Brigham. Published in IEEE for AI management systems at scale.Babson MBA ’25
Previously Director of Engineering at HDAI, leading cloud, MLOps, and API services. Served AI models cost effectively and at scale in highly regulated healthcare environments. Prior experience includes infrastructure operations and cloud systems at SimpliSafe.