RoutantA future where AI can be trusted to act.
We want intelligent systems to take on meaningful work wherever it happens, with people remaining in control of what they entrust to them.
An agent can understand a problem and still be unable to solve it. The information it needs sits inside a private system. The next step depends on another application. An important action needs someone’s approval. Until those pieces connect, even capable AI leaves people carrying the work between systems.
That gap between intelligence and action is why Routant exists. We believe trust belongs in the infrastructure: access should be deliberate, authority should have limits, and actions should be accountable. These foundations make it possible to delegate more, with confidence in the boundaries we set.
We’re building toward a world where agents can carry work from intent to completion across the systems that make everyday life run. As intelligence advances, the infrastructure around it should make more of that potential useful, while keeping people in control.
Meet our leadership
Aditya Mehta
Founder & CEO
Aditya’s background spans machine learning research at Princeton University and quantitative options trading at IMC, where he built machine learning models for pricing in financial markets.
His experience in regulated finance informs a central belief behind Routant: as software gains the ability to act, the controls around it must become more explicit. He founded Routant to build that foundation for AI agents, bringing a focus on secure access, bounded authority, and accountability to the infrastructure that connects them to real-world systems.