Anjali Sardana

Timeline

1. 2024Graduates from Georgetown University with a bachelor of science in biology.^[2]
2. April 2025Launches Pronto, an app that books trained domestic workers for household chores. The first hub is in Sector 56, Gurgaon.^[1]^[2]
3. March 2026Pronto raises 25 million dollars led by Epiq Capital, with Glade Brook, General Catalyst and Bain Capital Ventures participating, at a reported valuation of 100 million dollars. Sardana is 23.^[2]
4. May 2026The Series B is extended to 45 million dollars after a further 20 million dollars from Lachy Groom. The company is valued at about 200 million dollars, roughly double its valuation a month earlier, with total funding near 60 million dollars.^[1]
5. July 2026Pronto confirms it is continuing and expanding Pronto Verified, an opt in programme that records service sessions and uses anonymised footage for AI training.^[1]
6. October 2026Sardana sets up Provision Labs in the United States to collect real world data for robotics and physical AI developers. The venture lists Lachy Groom, Glade Brook, General Catalyst and Bain Capital Ventures as backers.^[1]
7. November 2026Provision Labs acquires Basilisk Industries, a Mumbai hardware startup, extending the data business into robotics hardware.^[1]

Who Anjali Sardana is

Anjali Sardana is a 23 year old Indian entrepreneur who built a household services company into one of the fastest growing consumer businesses in the country, then used its operations as the foundation for a second company in a different industry. She studied biology at Georgetown University in Washington and graduated in 2024, which means Pronto was founded within a year of her leaving university.^[1][2]

Her public story is unusually specific about how thin the operation was at the start. In a post announcing the March 2026 round she wrote that nine months earlier the company had one hub in Sector 56, Gurgaon, and that the team was sleeping on the office floor to make sure customers who had booked a service received one. The detail has been repeated in most coverage since, partly because it is vivid and partly because it fits the profile of a founder who moved from a dormitory to a boardroom in under two years.^[2]

She keeps a low public profile for someone running a company at that valuation. There is no podcast tour, no long form interview and very little personal disclosure beyond the funding announcements. The coverage that exists is about the business: the round, the valuation, the number of hubs and the categories the app covers.^[1][2]

She owns about 40 per cent of Pronto, according to her own statement in March 2026, and Glade Brook is the largest external shareholder with a stake of about 15 per cent. That ownership level is high for a founder who has raised 60 million dollars, and it suggests the company has been funded with relatively little dilution, which is unusual in Indian consumer services.^[2][1]

What Pronto does

Pronto is an app that sends a trained, background verified worker to a home for a fixed period of household work. The categories include sweeping, mopping, utensil washing, kitchen and bathroom cleaning, laundry, car washing, meal preparation and gardening. A customer books a slot, a professional arrives, and the company takes responsibility for training, verification and replacement.^[1][2]

The proposition is speed and reliability rather than price. Urban Company built a large business on scheduled home services with a marketplace of independent professionals. Pronto's pitch is closer to quick commerce: a short booking window, a trained worker who is paid by the platform, and a standard that does not depend on which individual turns up. That requires the company to employ or contract people directly, which is capital intensive and explains why the funding has gone into hubs and headcount rather than marketing.^[1]

The unit economics of that model are difficult. A home service visit has a fixed cost in wages and travel, a variable cost in supplies and support, and a price ceiling set by what a household will pay for cleaning. The business works if a hub can keep its workers busy across a compact geography, which is why Pronto expanded one neighbourhood at a time rather than one city at a time. The 100 million dollar valuation in March 2026 was a bet that the model had been proved in Gurgaon and could be repeated.^[2]

Sardana's argument for the company is not that home services are new. It is that the supply side has never been organised properly: the workers are trained inconsistently, the pricing is opaque and the experience depends on who is sent. Pronto's answer is to standardise the worker, the kit and the time, and to charge for that standard. It is the same argument that built Urban Company, applied with a faster promise and a smaller geography.^[1][2]

The camera in the room

The most unusual part of Pronto's model is that its service visits generate data. In July 2026 the company confirmed that Pronto Verified, an opt in programme, records service sessions and uses anonymised footage to train AI systems. That programme is the bridge between the consumer business and Provision Labs, the US venture that sells real world data to robotics developers.^[1]

The logic is straightforward. Most AI systems are trained on text and images scraped from the internet. Robots need something different: footage and sensor data from real rooms, with real furniture, real clutter and real hands doing the work. Pronto has people inside homes every day, in two countries, performing repetitive physical tasks. That is exactly the material a robotics lab cannot film at scale.^[1]

The risk is consent. A person who books a cleaning service is not thinking about being filmed for a robotics dataset, even if the terms mention it. Pronto's position is that the programme is opt in and the footage is anonymised, which is a reasonable answer and a fragile one. Anonymisation is a technical claim that has to survive audits, and a leak in a home setting is a reputational event that no terms of service can undo.^[1]

The United States structure helps with the legal side. A venture registered abroad can set data handling rules and liability terms that differ from the consumer app's, which matters when the customers generating the data are in India and the buyers are American robotics companies. It also lets the same investors hold the data layer separately from the services brand, which is attractive if the data business turns out to carry the higher margin.^[1]

Provision Labs and the second company

Provision Labs was set up in the United States in October 2026. Its business is collecting data that developers use to train models and, more importantly, to test them against conditions their own laboratories cannot reproduce. The distinction matters commercially: training data can be licensed once, while testing environments have to be refreshed continuously, because every new robot model fails in ways the previous one did not.^[1]

The venture's backers are the same people who funded Pronto. Lachy Groom, Glade Brook, General Catalyst and Bain Capital Ventures are all listed on its website, and all four are also Pronto investors. That is a signal about how the cap table thinks: they are funding the data layer separately so that they own the part of the business that could serve every robotics company rather than one services brand.^[1]

The acquisition of Basilisk Industries, a Mumbai hardware startup, added a physical dimension. Details of the deal were not disclosed, and the coverage does not say what Basilisk built or how its team will be folded into Provision Labs. What it does show is that Sardana is building the venture as a company with products rather than a data brokerage with a website.^[1]

The strategic question is whether Provision Labs becomes Pronto's most valuable asset. If the data business is where the margins sit, Pronto stops being a services company with an AI angle and becomes the supplier of a proprietary advantage to an industry that is much larger than home cleaning. That is a different valuation story, and it is the one the investors appear to be underwriting.^[1]

What has not been confirmed

Her date of birth and family background are not published. Coverage describes her as 23 in March 2026, which is a reported age rather than a confirmed date, and no interview sets out where she grew up or who her parents are.^[2]

Pronto's revenue, loss and unit economics have not been disclosed. The funding rounds and valuations are public, but the company has not published turnover, contribution margin or the number of daily bookings, so the health of the underlying business cannot be assessed from the outside.^[1][2]

The terms of the Provision Labs acquisition of Basilisk Industries are unknown. The deal was reported without a price, and neither company has set out what Basilisk's hardware does or how many employees moved across.^[1]

The scope of Pronto Verified is not public in detail. The company says the programme is opt in and that footage is anonymised, but it has not published the consent rates, the retention period, the countries where recording happens, or the identity of its data buyers.^[1]

Her exact shareholding after the May 2026 extension is not stated. The 40 per cent figure comes from her own statement in March, and later rounds would have diluted it, so the current number is likely lower and has not been confirmed.^[2]