Six products. Every stage of the industrial AI pipeline — from raw data to live model monitoring — built to work together or stand alone.
The foundation of every AI workflow. Conduit handles the movement and transformation of raw data from its source to wherever it needs to go. Connect to databases, APIs, files, or streams, define your transformation logic, and let Conduit handle the rest — clean, structured data ready for what comes next.
Good models start with good signal. This is where raw data gets meaning attached to it — classifications, tags, boundaries, and labels applied by humans or assisted by AI. Signal makes the annotation process structured, trackable, and collaborative, so your training data reflects exactly what you intend to teach.
Where models are made. Foundry is the environment for configuring, running, and iterating on model training jobs. Define your architecture, dial in your parameters, track your experiments, and watch each run refine the model closer to production-ready.
Before anything ships, it has to hold up. Gauge puts your model through its paces — accuracy, performance benchmarks, edge case behavior, and bias checks. Every run produces a clear picture of where the model stands and what still needs work.
When the model is ready, Dispatch takes it the rest of the way. It handles the handoff from training into live environments — managing versioning, configuring endpoints, and controlling how and when new models go live. Whether rolling out to a single endpoint or coordinating a staged deployment across environments, Dispatch ensures every model arrives where it needs to be, exactly as intended.
The work doesn't stop at deployment. Trace keeps watch over live model behavior — tracking drift, flagging anomalies, logging inference quality, and feeding signals back into the pipeline so the next iteration starts smarter than the last.
Every Nexus engagement is scoped to your operation. Contact us to discuss which products fit your current stage.