We believe the next decade will be defined by AI that executes, not just advises.

It tells you what’s wrong. It shows you the data. Then it makes you do all the work. That’s not intelligence. That’s a very expensive to-do list.

Real work doesn’t end with insight. Someone still has to follow up, coordinate, update systems, chase documents, and move things forward.

That’s where most teams get stuck. Not because they lack data, but because execution breaks down.

We've seen GTM and CX teams spend their best hours on repetitive, manual work.

Updating Salesforce. Chasing signatures. Nudging customers to finish tasks. Coordinating handoffs across internal teams.

Important work, but not the kind that requires human judgment or creativity. And not the reason great people join these roles.

We believe people should do the work only people can do. Let machines handle the rest.



When execution no longer slips through the cracks, everything downstream improves.

Signals get picked up instead of ignored. Customers get timely, relevant follow-through. Teams spend less time managing process and more time building trust, solving real problems, and making hard calls when it counts.

The work feels less fragmented. Less reactive. More human.

We’re not building AI for automation’s sake. We’re building systems that take responsibility for the repetitive, error-prone parts of work - so people can focus on the moments that actually require judgment, empathy, and care.

That philosophy shapes how we design Cora: execution over advice, clarity over noise, humans in control where it matters most.

We’re building Cora with teams who feel the gap every day between knowing what should happen and actually making it happen. Transformative leaders who aren’t willing to accept that gap as inevitable.