Bhavish Aggarwal began with a problem small enough to fit in the back seat of a car. A ride arranged badly could waste a day. Drivers had idle time; passengers had uncertainty; small operators had few good ways to find one another. In the early Ola venture, Aggarwal went out to sell trips while his co-founder, Ankit Bhati, built the website. It was a grounded division of labor. One founder met the market; the other wrote the code. Fifteen years later, Aggarwal was talking about Indian AI models, cloud infrastructure and chips. The distance between those two scenes is the point of his career. Each new company has enlarged the system he wants to control.
He is an engineer by training, a founder by temperament and a public advocate of building more technology in India. The case he makes is expansive. The record is more textured: a ride-hailing business that became familiar across India, a listed scooter maker with the headaches of a listed scooter maker, and an AI venture that reached a striking valuation before finding a narrower business to pursue. Aggarwal’s story is unusually easy to describe in three nouns - cabs, scooters, cloud - and unusually hard to settle with a verdict.
A company built between the cab stand and the keyboard
Aggarwal grew up in Ludhiana and studied computer science and engineering at IIT Bombay, graduating in 2008. He went to Microsoft Research India and worked there for roughly two years. The early résumé carried the expected signs of an ambitious engineer: patents and academic papers. Then he left the research job for the disorderly taxi market. The move put him closer to Indian streets than to a laboratory, though the underlying puzzle was technical: how to match scattered supply with people who wanted a reliable ride.
The first version of the idea sold trips. Aggarwal described starting up with Bhati in December 2010. A later account of their early days has Aggarwal selling in the field while Bhati coded from an apartment near IIT Bombay. That detail matters more than the familiar founder myth of a sudden flash of insight. They were testing a service in a market that had to be explained one operator and one customer at a time. Ola Cabs, formally launched in 2011, turned the trip idea into a ride-hailing marketplace.
In 2014, a profile noted a small contradiction: the founder of a cab company did not own a car. Aggarwal said he wanted to set an example by using cabs himself. It is the kind of founder anecdote that is both practical and slightly theatrical. It also shows how thoroughly he liked to inhabit a product’s argument. Ola was asking customers to treat access as more useful than ownership; its chief executive had made the same bet in his driveway.
The marketplace reaches for the factory floor
The cab business placed Aggarwal in a contest over software, prices, drivers and trust. Ola Electric moved him into a different rhythm. A scooter must be assembled, delivered, serviced and repaired. A battery has to work long after the launch event ends. Aggarwal founded Ola Electric in 2017, and its ambitions soon became physical enough to photograph from a distance: land in Tamil Nadu, production lines and a factory named Futurefactory.
One scene from 2021 catches the shift. At the site in Pochampalli, where excavators were working on the plant, Aggarwal appeared in a hard hat, reflective vest and safety boots. He tested a black scooter prototype while Punjabi hip-hop played. The factory setting made the contrast with the first Ola days plain. The founder who had once sold trips now had to get machines, workers, suppliers and customers moving on the same schedule. Software can be updated overnight; a production line takes longer to forgive an error.
Ola Electric’s scooters put Aggarwal’s manufacturing thesis on Indian roads. The company listed on Indian stock exchanges in August 2024. It was a milestone with a built-in change of audience: customers, employees and investors could now judge the same company from different angles. Recognition had already come. TIME named Aggarwal to its 100 most influential people list in 2018 and its climate list in 2023. Neither citation could solve a service complaint or make a cell cheaper, but both show how far the project had traveled from an apartment and a booking website.
Krutrim and the appeal of owning the stack
Krutrim, founded in 2023, took the same instinct into artificial intelligence. Its name comes from a Sanskrit word for “artificial.” At its launch, Aggarwal presented an India-focused model and a wider plan for AI infrastructure. Indian languages were central to the pitch. A chatbot that understands everyday use across a multilingual country is a more specific proposition than another English-first assistant. Beyond the model, Krutrim discussed cloud services and future chips. Aggarwal framed these pieces as parts of the same question: who owns the technology beneath Indian digital life?
In January 2024, the company raised $50 million at a reported valuation of $1 billion. The number made Krutrim a symbol of fast money meeting a large national ambition. But a valuation is a price placed on possibility. A model, a cloud business and a chip program each require different talent, capital and time. Putting all three on one roadmap makes a compelling diagram; turning them into products with paying customers is a longer exercise.
The model work was real enough to produce research. In 2025, Krutrim researchers published a paper describing a multilingual model trained on two trillion tokens for Indian linguistic use. The company also launched a consumer assistant called Kruti. Yet the technical work was only one part of the founder’s proposed stack. He had publicly called chip development a “moonshot,” and explained that Krutrim would design chips while using outside foundries to manufacture them. That distinction was sensible. It also exposed the scale of the ambition: even the part called “Indian” would rely on a global industrial chain.
The expensive part of a grand plan
By 2026, the Krutrim story had changed. Reports described departures among AI and semiconductor leaders and a move away from parts of its original model and chip agenda. The company turned its attention toward cloud infrastructure and enterprise services. Another round of job cuts followed in July. These are reported developments, not a neat final chapter. A smaller company can still build a useful business. The change does, however, make the question sharper. Can Krutrim win customers outside the businesses its founder already controls?
That question is especially relevant because reporting on the venture’s revenue described heavy reliance on other Ola companies. Ola Electric’s public status gives such relationships extra weight. A service bought within a family of companies can help a new platform get started. Independent buyers are a different test. They can leave when the product, price or reliability fails them. Aggarwal’s earlier businesses also faced these ordinary tests at scale. A rider opening an app and a scooter owner needing service are less interested in a founder’s thesis than in what works today.
Aggarwal himself is no stranger to a public argument. His statements about technology and national capacity have attracted supporters, while his management style and sharp responses to criticism have drawn scrutiny. These are two sides of a visible founder, not a personality puzzle that can be solved from a few interviews. What can be observed is his preference for large, declarative goals. The hard part is turning those goals into repeatable operations. As Ola Electric’s chairman and managing director, he has to answer to the routines of a public company as well as the drama of the next announcement.
What remains after the map gets redrawn
In September 2026, Ola Electric’s board approved a proposed rights issue of up to ₹1,000 crore, and Aggarwal said he would take up his entitlement. The company described plans to use the proceeds for debt repayment and growth. At Krutrim, the more immediate task was establishing a focused cloud business. These developments bring his three-company story back to a question familiar from the Ola beginning: what does a customer need, and can the company deliver it dependably?
There is wit in the way Aggarwal’s career keeps changing its scale. The entrepreneur who once declined to buy a car now leads a company making vehicles. The engineer who left a research job returned to computing through an AI venture. Each move can be read as expansion, or as a fresh attempt to control something his earlier business depended upon. A ride needs a vehicle. A vehicle company needs software and batteries. AI products need compute. The chain is logically attractive. Its links are also separate businesses, with separate balance sheets and separate chances to disappoint.
The most interesting part of Aggarwal’s next chapter may therefore be its restraint. Krutrim’s reported shift to cloud asks him to prove one layer rather than present the whole stack at once. His record shows an appetite for entering large markets and describing where they ought to go. Now the measure is more prosaic: independent customers, working services, capital used well. A founder can draw an enormous map. What lasts is the road people are willing to travel.