A boutique product and services company. Twenty years of large-scale data modernization for Fortune 500 clients, and the same pattern in all of them: the model was never the hard part.
The hard part is the enterprise around it. Systems of record nobody is going to replace. The same customer defined differently in each of them. Security and access control that will not be loosened for an AI project. Governance over who may act, and an audit trail owed afterward to whoever asks for it. And the distance between the people who know the work and the people who build the software.
That is the part we build, and we send engineers who stay until it runs in production.









Leadership and selected team.
Two decades of large-scale data and AI work for global brands, delivered by the people who now build the harness. These are some of the organizations our team has worked inside, through NuStudio and in the roles that preceded it.
Marks shown are the property of their respective owners and appear here to describe our team’s professional experience. Their use does not imply endorsement or a current engagement.
An agent is a language model plus a harness. Real autonomy comes from the memory, the policy, and the live connections to systems of record that surround it.
Safety written as a prompt can be ignored or overridden. Regulated work needs deterministic, machine-checkable rules enforced before and after every reasoning step.
If you cannot explain why an agent did something, you cannot deploy it in a regulated process. Lineage has to be designed in from the start.
A discovery document will not tell you how a production environment actually behaves. Our engineers work inside it.
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