The practice — Client engagements
Applied AI Solutions
AI systems that reach production and stay there: the data platform underneath, the models, and the software people use every day.
What we take on
Data platforms
Collection, modelling, pipelines, and the infrastructure underneath them.
Applied machine learning
Models built for a named decision, and evaluated against that decision rather than a benchmark.
AI applications
The product around the model: interfaces, review steps, controls, and the operational work of running it in production.
How we work
Narrow slices, verified before the next one starts.
We prefer a small, working piece of a system over a long specification. Each slice is checked against real data before we move on.
A person stays in control of what the system does: review steps before consequential actions, a record of what happened, and failures that stop the system rather than letting it continue.
We are not tied to one cloud or toolset, and we choose what your team can maintain after the engagement ends.
Background
Verstand AI has worked in retail, financial services, pharma and energy since 2017, on data platform engineering and applied decision science. The team is data engineers, decision scientists, BI engineers and product engineers.
Platforms we build on
Microsoft Azure
OpenAI
Anthropic
Gemini
Vercel