Mia ChenCo-founder · Product
A note from the team
AI should make people feel more capable.
We are building the product we wanted when the first exciting demo met the first complicated workflow.
Our point of view
Useful beats impressive.
We started Auralis because the hard part of AI is rarely the model. It is the context around the model: the source, the standard, the handoff, the moment when someone needs to trust the result.
Our job is to make that context easier to see and easier to improve. The best systems feel less like magic and more like a well-run team.
What we believe
Principles for building with care.
Make the invisible visible
People can improve what they can inspect. We surface the trace, the source, and the decision.
Respect judgment
Automation should create room for better human decisions, not pretend they are unnecessary.
Grow from the edge
The unusual case teaches you more than the happy path. We design for learning in public.
A short history
From a working session to a company.
2022
The first workflow
Three of us built a small tool to help a support team understand why their AI assistant failed on the cases that mattered most.
2023
Quality became the product
Teams asked for better evaluation, better sources, and a way to bring domain experts into the loop. Auralis took shape around that need.
2024
The system widened
Product, operations, and research teams began using the same foundation to build workflows beyond support.
Today
Still close to the work
We are a small, distributed team focused on making dependable AI feel like a normal part of how good work gets done.
The people behind Auralis
Small team, high context.
Rafael OrtizCo-founder · Engineering
Amara OkaforCustomer systems
Ben ItoDesign · Research