A recruitment platform that places more blue-collar workers every month than TeamLease, a listed staffing giant with decades of scale, sounds implausible until you notice it does this with a fraction of the headcount and almost no branches. Vahan, the Bengaluru company behind that claim, was built by a founder who first tried to teach English on WhatsApp, watched that idea fail, and only found the business after nearly running out of runway with 500,000 free users and no revenue.
This is not the government’s Vahan, the Ministry of Road Transport portal used for vehicle registration. This Vahan is Vahan.ai (legally Vahan Technologies India Private Limited), an AI-powered platform that matches India’s delivery and gig workforce with jobs at Swiggy, Zomato, Blinkit, Amazon and similar employers, and is backed by Khosla Ventures, Bharti Airtel and Temasek-founded LemmaTree.
Quick facts
| Company | Vahan Technologies India Private Limited (Vahan.ai) |
| Founded | 2016, New Delhi (now headquartered in Bengaluru) |
| Founder(s) | Madhav Krishna (Founder and CEO); Mohammed Abdoolcarim (co-founder, former Head of Product) |
| Businesses | AI and WhatsApp/voice-based recruitment for blue- and grey-collar roles; workforce upskilling (L.earn); data-annotation services for AI companies |
| Latest FY revenue | ₹47.5 crore (about $4.9 million) in FY25 (year to 31 March 2025), as filed with the Registrar of Companies (TheCompanyCheck) |
| Latest disclosed FY profit/loss | Net loss of ₹17.7 crore in FY23; FY24/FY25 profit or loss not yet publicly disclosed |
| Listed | Private — no IPO announced as of September 2026 |
| Market value / last valuation | Not disclosed in its two most recent rounds (Tracxn, September 2025); an earlier unconfirmed estimate of $89.1 million circulates but is not corroborated by a second source, so it is treated here as unverified |
| Key shareholders / backers | Khosla Ventures (lead, Series A and B), Y Combinator, Bharti Airtel, Vijay Shekhar Sharma, PERSOL Group, LemmaTree (Temasek-founded) |
What they do
Vahan runs an AI- and WhatsApp/voice-driven hiring pipeline that connects employers who need large numbers of frontline workers, chiefly quick-commerce and food-delivery platforms, with candidates looking for delivery, driving, warehouse and similar roles. A jobseeker typically discovers a role through a WhatsApp message or an inbound phone call, gets screened by an AI voice agent in place of a human recruiter, and is routed either directly to the employer or through one of the thousands of local staffing agencies Vahan works with. The company describes itself as India’s largest blue-collar recruitment platform by placement volume, a claim it makes in its own communications and that outside coverage has repeated by comparing its reported 40,000 monthly placements with listed staffing firm TeamLease’s roughly 15,000 (Founder Thesis podcast, 2024; company statements, 2025).
The origin
Madhav Krishna is a computer engineer with a master’s degree in artificial intelligence from Columbia University who spent years at US startups, including the travel company Jetsetter, before returning to India. The founding moment he has described in interviews dates to the winter of 2014: handing a plate of food to a boy on the street outside his parents’ Delhi home, and being struck by how little chance that child had of ever competing in a formal, English-speaking, credentialed job market (Founder Thesis podcast, 2024). That encounter did not immediately produce Vahan. It produced Lakshmi, a voice-based WhatsApp tool meant to teach spoken English to vocational-training students, launched around 2016. Lakshmi worked in the sense that students used it and kept coming back. It failed in the sense that the vocational institutes who were supposed to pay for it cared about placement numbers, not language scores, and would not fund a product that improved learning without a matching placement guarantee.
The struggle years
The company spent roughly two years failing forward. After Lakshmi, the team pivoted in 2017 to building WhatsApp-based bulk-messaging tools for corporate training, before Meta had even opened its official WhatsApp Business API. This iteration found paying customers: contracts such as an approximately ₹10 lakh driver-training programme for Uber helped the business generate an estimated ₹50 lakh a year (Founder Thesis podcast, 2024). But the contracts were one-off and would not scale into a repeatable, expanding business.
The closest the company came to shutting down followed next. By late 2018, a viral referral loop had pushed Vahan’s WhatsApp assistant to roughly 500,000 monthly active users, an impressive number by most startup yardsticks, and yet it produced almost no revenue. Madhav has since summarised the lesson as recognising that engagement without a trust and payment mechanism is close to worthless, the same problem WhatsApp itself faced trying to monetise a free-messaging habit in India (Founder Thesis podcast, 2024). The breakthrough came almost by accident: quick-commerce startup Dunzo asked for a WhatsApp bot that could pre-screen delivery-partner leads before they wasted a recruiter’s time. That bot cut Dunzo’s hiring cost by about 30%, a result echoed later in coverage of Vahan’s work with Swiggy and Zomato (Daijiworld/IANS, May 2022), and it triggered inbound interest from other delivery platforms that Vahan had not gone looking for.
The turning point
Most Silicon Valley playbooks for this problem would try to cut out the local recruitment agent as an inefficient middleman. Vahan did the opposite, and this is the decision that turned a lead-screening bot into a marketplace business. Rather than replacing India’s fragmented network of local recruitment agencies, the company built technology to make them more productive and plugged them into a shared pipeline of employer demand. By 2025 that network had grown to more than 2,000 local agencies distributing high-volume hiring mandates from companies such as Zomato and Swiggy through a mobile app, paid on outcomes: roughly ₹5 to ₹10 per qualified lead and ₹1,500 to ₹6,000 per confirmed placement, depending on the role and how long the worker stays (Founder Thesis podcast, 2024). On one side of that turning point was a company with viral usage and no durable revenue; on the other was a business that has since said it processes over 40,000 placements a month and has placed more than one million workers across 920-plus cities since inception (IndianStartupNews, July 2025; Inc42, July 2025).
The money behind it
Vahan’s fundraising has tracked its shift from consumer messaging experiment to enterprise-facing hiring infrastructure.
- Seed, April 2016: undisclosed amount (Tracxn, 2025).
- Series A, September 2021: $8 million, led by Khosla Ventures, with participation from Bharti Airtel, Shakti VC, Pioneer Fund, Spike Ventures and Paytm founder Vijay Shekhar Sharma (BusinessToday, September 2021).
- Series B, September 2024: $10 million, led by Khosla Ventures again, joined by Y Combinator, Gaingels and Vijay Shekhar Sharma (Entrepreneur India, September 2024).
- Strategic investment, February 2025: an undisclosed amount from Tokyo-based staffing group PERSOL, aimed at scaling technology and entering manufacturing and retail hiring (Inc42, February 2025).
- Strategic investment, July 2025: an undisclosed amount from Temasek-founded LemmaTree, announced alongside Vahan’s acquisition of skilling platform L.earn from the defunct GoodWorker (Inc42, July 2025; IndianStartupNews, July 2025).
Total funding raised is itself a contested figure: Tracxn puts it at $23.7 million across 11 rounds as of September 2025, while the Founder Thesis podcast cited an approximate $33 million figure in 2024; the gap is likely explained by undisclosed round sizes that different trackers estimate differently. Vahan’s valuation has not been disclosed in either of its most recent two rounds (Tracxn, September 2025); what look like precise dollar valuation figures circulating on data-aggregation sites are not corroborated by a primary source and are excluded here. What each named backer changed: Khosla Ventures anchored two consecutive priced rounds and lent the company a growth-stage credibility that helped attract Bharti Airtel and PERSOL; Bharti Airtel’s participation as a large Indian corporate signalled distribution and telecom-adjacent trust; PERSOL, a global staffing conglomerate, brought sector expertise and validated Vahan’s expansion into non-delivery blue-collar hiring; LemmaTree’s 2025 cheque came paired with an acquisition, effectively buying Vahan a ready-made skilling product instead of building one.
How it makes money
Vahan does not charge workers. Its revenue comes from the employer side and, increasingly, from a layer of local staffing agencies it has digitised.
- Money in: outcome-based fees from employers and agency partners, reported at roughly ₹5 to ₹10 per qualified candidate lead and ₹1,500 to ₹6,000 per confirmed placement depending on role type and retention milestones (Founder Thesis podcast, 2024).
- Costs out: cloud and AI-inference costs for the voice and WhatsApp screening layer, agency-partner payouts, and a lean internal team; the company has said its AI voice recruiter costs about ₹2 per connected minute versus ₹3 to ₹4 for a human recruiter performing the same screening call (Founder Thesis podcast, 2024).
- Where the margin sits: in the spread between what employers pay per placement and what Vahan pays out to agency partners and spends on automated screening; the company has said it is targeting EBITDA profitability once volumes reach roughly three times their 2024 level (Founder Thesis podcast, 2024) — a forward-looking target, not a reported result.
- The part people get wrong: Vahan is frequently described as a jobs app for workers, but its paying customer is the employer or the agency, and the worker-facing WhatsApp/voice experience is the acquisition funnel, not the product being sold.
- Newer revenue line: the same worker network is now also being offered to AI companies as a source of human data-annotation labour, a diversification beyond recruitment fees (Y Combinator company page, accessed September 2026).
The numbers
Figures below are for Vahan Technologies India Private Limited, as reported from its Registrar of Companies filings (unit: ₹ crore).
| Fiscal year (to 31 March) | Revenue (₹ crore) | Net profit / (loss) (₹ crore) |
|---|---|---|
| FY22 | 23.0 | Not disclosed |
| FY23 | 29.7–30.1 (Entrackr and Inc42 Datalabs differ slightly) | (17.7) |
| FY24 | 26.9, down about 10% year-on-year | Not disclosed |
| FY25 | 47.5, up about 76% year-on-year | Not disclosed |
Sources: FY22 and FY23 figures from Inc42 Datalabs (accessed September 2026) and Entrackr (September 2024); FY23 loss figure corroborated by both; FY24 and FY25 revenue from TheCompanyCheck’s filing-based company profile (accessed September 2026), also cited independently by IndianStartupNews for FY24 (July 2025). No independent second source was found for the exact FY25 revenue figure, so it is presented as reported by one filings aggregator rather than as a fully corroborated fact.
Where the money comes from
- Role mix: roughly 95% of placement volume comes from gig delivery roles — food and grocery delivery, quick-commerce riders — for clients such as Swiggy, Zomato, Blinkit, Zepto, Amazon and Uber (Founder Thesis podcast, 2024).
- Geography: operations span more than 920 Indian cities as of mid-2025, a sharp expansion from the roughly 200 to 480 cities cited in 2022 to 2024 coverage (Daijiworld/IANS, May 2022; Entrepreneur India, September 2024; IndianStartupNews, July 2025).
- The surprise: despite an AI-first brand, the bulk of Vahan’s fulfilment still runs through more than 2,000 human-run local recruitment agencies; the technology’s job is to make that layer faster and more accountable, not to remove it (Founder Thesis podcast, 2024).
- Declared expansion channels: manufacturing, warehousing, retail and commercial-driving hiring, plus international expansion into Southeast Asia and the Middle East and North Africa, announced alongside the 2025 funding rounds (Inc42, February and July 2025).
- Product-line diversification: recruitment (core), L.earn vernacular upskilling content acquired in 2025, and data-annotation services sold to AI companies using the same worker pool (Inc42, July 2025; Y Combinator company page, accessed September 2026).
The risks
- Customer concentration in one demand cluster: the reported 95% dependence on gig-delivery hiring means Vahan’s volumes are tied tightly to the hiring cycles of a small number of quick-commerce and delivery platforms (Founder Thesis podcast, 2024); a slowdown in delivery-platform hiring, or any of them building screening technology in-house, would hit Vahan disproportionately.
- A tightening gig-worker regulatory regime: India’s Code on Social Security, 2020 came into force on 21 November 2025, and the Ministry of Labour and Employment notified the Social Security (Central) Rules, 2026 in May 2026, requiring aggregators to register gig and platform workers and contribute toward their social security (IMPRI Impact and Policy Research Institute, 2026; Bhatt & Joshi Associates, 2026). Compliance costs from this framework fall on the employers and aggregators in Vahan’s client base, and could reshape the economics of the high-churn, high-volume roles Vahan places workers into.
- Persistent unmet profitability: the only publicly disclosed annual profit/loss figure, a ₹17.7 crore net loss on ₹29.7-30.1 crore of revenue in FY23, shows the model was still deeply loss-making at that scale (Entrackr, September 2024; Inc42 Datalabs, accessed September 2026); more recent profit or loss figures have not been disclosed, so whether the business has since crossed into profitability cannot be verified either way.
- Crowded competitive set: Vahan competes for the same blue-collar jobseekers and the same employer budgets as Apna, WorkIndia, Job Hai and MyJobee, as well as listed staffing incumbents such as TeamLease (Inc42, February 2025; Founder Thesis podcast, 2024).
The takeaway
The lesson in Vahan’s history is not “use AI to cut out the middleman.” It is closer to the opposite. The company’s near-death moment came from a product with hundreds of thousands of engaged users and no way to charge anyone. Its recovery came only once it stopped trying to disintermediate India’s informal recruitment-agent economy and instead built infrastructure that made those agents faster, more accountable and better paid on a per-outcome basis. In a low-trust, high-volume labour market, the more durable strategy was not replacing the human relationship that already carried the trust, but wiring technology around it.
Frequently asked questions
Is Vahan.ai the same as the government’s Vahan portal?
No. The Ministry of Road Transport and Highways runs a separate “Vahan” portal for vehicle registration. Vahan.ai, legally Vahan Technologies India Private Limited, is an unrelated private startup that does AI-driven recruitment for blue-collar and gig workers.
What does Vahan actually sell, and to whom?
It sells high-volume hiring outcomes, screened leads and confirmed placements, to employers that need large numbers of delivery, driving and warehouse workers, and it channels much of that work through a network of more than 2,000 local recruitment agencies (Founder Thesis podcast, 2024).
How much money has Vahan raised, and who are its main backers?
Reported totals range from about $23.7 million (Tracxn, September 2025) to about $33 million (Founder Thesis podcast, 2024) across rounds since 2016. Its named backers include Khosla Ventures, Bharti Airtel, Y Combinator, Vijay Shekhar Sharma, PERSOL Group and LemmaTree.
Is Vahan profitable?
Not as far as public filings show. Its only disclosed annual result, for FY23, was a ₹17.7 crore net loss on revenue of about ₹30 crore (Entrackr, September 2024). It has said it is targeting EBITDA profitability once its placement volume roughly triples, but that is a stated target rather than a reported outcome (Founder Thesis podcast, 2024).
How many people has Vahan placed in jobs?
The company has said it has placed more than one million workers across over 920 Indian cities since it began, with roughly 40,000 monthly placements as of mid-2025 (IndianStartupNews, July 2025; Inc42, July 2025).
Sources
Figures are as of September 2026. Currency converted at $1 ≈ ₹96.0 as of 18 September 2026 (Trading Economics).
- Entrepreneur India, “Blue Collar Recruitment Platform Vahan.ai Raises $10 Million in Series B Funding”, September 2024
- Inc42, “Vahan.ai Bags Funding To Bolster Blue Collar Recruitment Play”, February 2025
- Inc42, “Vahan.ai Bags Strategic Investment From Temasek’s LemmaTree, Buys L.earn”, July 2025
- Inc42 Datalabs, “Vahan Financials 2026 – Revenue, P&L & Cash Flow”, accessed September 2026
- Entrackr, “Blue collar recruitment platform Vahan raises $10 Mn in Series B”, September 2024
- Y Combinator, Vahan company profile, accessed September 2026
- Founder Thesis podcast, “How Madhav Krishna Built Vahan Into India’s Largest Blue-Collar Recruiter By Digitizing Trust”, 2024
- Tracxn, Vahan company and funding profile, September 2025
- IndianStartupNews, “Vahan.ai raises strategic funding from LemmaTree, acquires skilling platform L.earn”, July 2025
- TheCompanyCheck, Vahan Technologies India Private Limited company financial profile, accessed September 2026
- BusinessToday, “Vahan raises $8 mn in round led by Khosla Ventures”, September 2021
- Daijiworld/IANS, “Vahan recognised as global technology pioneer by World Economic Forum”, May 2022
- IMPRI Impact and Policy Research Institute, “Welfare Governance For Gig Workers Under The Social Security (Central) Rules, 2026”, 2026
- Bhatt & Joshi Associates, “India’s Gig Economy Workers Under Social Security Code 2020: Legal Rights, Implementation And 2026 Rules Update”, 2026
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