Leap 300: four states use AI programme for 5 lakh rural women entrepreneurs

Leap 300, which runs an AI-led entrepreneurship programme for low-income rural women, said on Wednesday, 4 November 2026 that government programmes in Bihar, Punjab, Uttar Pradesh and Haryana are working with it to support more than 5 lakh rural women entrepreneurs. Women in the programme use the Leap 300 app to prepare business plans with an AI assistant, learn business skills through voice-based training and keep digital accounts, over a structured 300-day journey. In Uttar Pradesh, the collaboration runs through the state Planning Department's Zero Poverty Programme and targets 1 lakh households over three years. All the figures in this story are the company's own; no independent evaluation has been published.

For a woman in a village starting a small business, getting a loan is only the first step; turning it into steady income is harder. Leap 300's model tries to help with that through step-by-step planning, training in the local language by voice, and simple digital bookkeeping, using AI to give each woman advice that a field worker could not give to thousands at once.

The Bihar comparison points to one of the model's aims: helping women move beyond the most common rural business, livestock, into other trades. If fewer women crowd into the same line of work in the same village, each has a better chance of finding customers. The Uttar Pradesh link is also notable because it ties the programme to a state anti-poverty scheme with a household target and a timetable, rather than a one-off pilot.

The numbers need care. They come from the company, not from the state governments or an independent study, and the size of the groups behind percentages such as 87% and 95% has not been published. Loan repayment of 100% "to date" is an early figure for a programme still growing. The real test will be whether income gains last after the 300 days end, and whether the state targets are met.

Peepals calculation: The three state targets that are spelled out, 1 lakh households in Uttar Pradesh, 1.5 lakh women in Punjab and 1,200 in Haryana, add up to about 2.51 lakh (1,00,000 + 1,50,000 + 1,200 = 2,51,200), or roughly half of the 5 lakh headline figure. In Uttar Pradesh, after 50,000 households in the first year, the remaining 50,000 would be spread over two years, about 25,000 a year. A fall in launch time from about 90 days to 12 days is a cut of roughly 87% (1 − 12 ÷ 90 ≈ 0.87). Our calculation from the reported figures.

Short-term: Women in the four states' livelihood programmes may get app-based planning, training and bookkeeping support, and banks working with these programmes may see better-documented loan applications.

Long-term: If the reported income and repayment results hold at scale, other states could adopt similar AI-assisted support in their livelihood missions; if they do not, the model will need independent evidence before it spreads.

Who is affected: Low-income rural women starting or running small businesses in Bihar, Punjab, Uttar Pradesh and Haryana; self-help groups; state rural livelihood missions; and banks lending to small rural enterprises.

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