Integration effort
Measure setup time, migration cost, and the changes required in an existing stack.
STIPDOT / AI infrastructure
The systems beneath the application layer.
Reliable AI requires more than powerful models. It requires tooling that makes intelligence controllable, observable, secure, and economical.
01 / Evaluation
Measure what matters.
We are interested in platforms that make model behavior legible, benchmark performance, and support informed product decisions.
02 / Deployment
From prototype to production.
The opportunity is in systems that simplify how AI applications are served, monitored, governed, and improved over time.
03 / Data & privacy
Capability with boundaries.
We value architectures that help organizations use their most important information without compromising trust or control.
A practical next step01 02 03
Infrastructure must prove its own value.
A technical component earns adoption when it makes an application easier to operate under real constraints.
Operating cost
Track end-to-end cost per successful task, including retries, monitoring, and human review.
Exit and control
Consider export paths, dependencies, access boundaries, and how a customer can replace the component.