About Predictability at Scale
Predictability at Scale, Inc. is a product company focused on the operational layer of AI applications: the systems that make features reliable, governable, measurable, and commercially sustainable after the prototype works.
Scale is not just more traffic. It is more customers, more edge cases, more financial exposure, and less room for guesswork.
Why we exist
AI application teams move quickly at first. Then provider differences, safety policy, customer context, input costs, entitlements, billing, and operational failures begin spreading through the codebase. The feature still works—but the business around it becomes difficult to reason about.
We started Predictability at Scale in 2025 to build the missing operating infrastructure. Our products keep the difficult, undifferentiated work out of application code while making the important decisions visible to product, engineering, and finance.
Our applied AI work includes tenant-specific compression models fine-tuned with LoRA, multi-provider generative AI routing, customer memory, prompt operations, safety controls, and public evaluation tools.
Leadership
Chris has spent his career building software companies and the teams behind them. A developer by training and a product leader by practice, he co-founded LeanKit and helped turn a strong idea into a company and product used by organizations around the world.
He brings a founder’s eye to product clarity, customer fit, and the operating choices that let a company keep learning as it grows. At Predictability at Scale, Chris leads company and product direction.
Troy helps engineering organizations improve how they deliver, govern, and measure software. His work spans hands-on engineering, executive leadership, probabilistic forecasting, and the practical use of data for better decisions.
He is the author of Forecasting and Simulating Software Development Projects and LINQ to Objects Using C# 4.0. At Predictability at Scale, Troy turns that depth in software systems and uncertainty into dependable AI product infrastructure.
Founder development
We completed Founder University by LAUNCH, a 12-week pre-accelerator for technology startups. The program pairs structured founder education with live sessions, peer feedback, and focused work on customer discovery, MVP iteration, go-to-market strategy, and fundraising readiness.
Learn about Founder UniversityOur path
The first product establishes a unified gateway for reliable, secure AI features.
The company forms around a broader mission: make AI operations and economics easier to reason about.
Meter brings entitlements, forecasting, customer visibility, and commerce sync into one usage layer.
Verified prompt efficiency and repo-native prompt operations extend our work into open, inspectable developer tooling.
Earlier product work
Before the current portfolio, our work included CASEy, a collaborative strategy and continuous planning product. Its focus on alignment, probabilistic forecasting, and connecting strategy to delivery helped shape the operating principles behind Predictability at Scale.
Visit heycasey.ioWhere we work
Predictability at Scale operates from Seattle and San Diego, with distributed collaborators across North America and Europe. We work closely with application teams wherever they are building.