
Co-founder and CEO
Rahul Gupta
AI leadership across marketplaces, mobility and finance.
16+
Years in AI and data
IIT Delhi
Alumnus
About
Evvolv started from a simple observation: growth creates work faster than companies can hire for it. So we built AI workers that take on the work of growing: building presence, finding customers, running operations, supporting them.
Every growth stage needs more people.
We give you more AI workers instead.
Every company we met that was growing had the same problem: the work arrived faster than the people to do it. So we stopped building tools and started building the workers.
The idea Evvolv was built on
Built by operators who ran systems at
















Operators first, founders second. Both spent a decade running the systems this replaces.

Co-founder and CEO
AI leadership across marketplaces, mobility and finance.
16+
Years in AI and data
IIT Delhi
Alumnus





Co-founder
The AI teams behind products used by hundreds of millions.
12+
Years in AI and data
GGSIPU
Alumnus


Four positions that decide what we build and, more often, what we refuse to.
The story is never how many small jobs got automated. It is whether the company could enter the market, win the customer and carry the volume without hiring a team for every new function.
A tool helps someone do one task faster. A worker takes responsibility for an area of work and brings you the part only you can decide.
Nothing leaves your business without a human yes. Autonomy is something a worker earns by being right repeatedly, not a switch we flip on day one.
A worker that quietly guesses is worse than no worker. Ours stop, say what went wrong and hand back the context.
Two workers are working today: Vikram on growth and Maya on marketing. Six more are built and arriving through the year, each owning a function outright rather than assisting with it.
The end state is not a bigger product. It is a company that can open a new market, build a presence there and win its first customers without building a team for every function and every geography, where the only thing left on your desk is the handful of decisions that genuinely need you.
Thirty minutes, your real data, no deck.