Our Impact

Our Impact Thesis

Aligning to

Investing in

  • Agriculture

  • Education & Skill Development

  • Healthcare

Serving the Poor

Serving the underserved, low-income, aspirer households with annual incomes ranging from Rs 1.5-8 lakhs per annum

Preference for Underserved

Creating greater impact in underserved geographies across India

Aligning to

the 2X gender challenge that aims to strengthen women entrepreneurship, leadership, workforce diversity and create more products/services intentionally for women & girls

Aligning to (opens in a new tab)

Impact Made So Far

  • 27 states & 127 districts

    served across India

  • 6 out of 12

    Investments served 10 low-performer states as per Niti Aayog's state SDG index

  • 49.7%

    of the impact in rural areas

  • 8 out of 17

    SDGs addressed

  • 22 M

    lives touched

  • 50%

    increase in farm incomes

  • 32%

    increase in farm productivity

  • 20M

    lives screened and tested for specific health conditions at scale

  • 7 Out of 12

    investees from our portfolio address SDG 5, which is gender equality

  • 57%

    Capital aligned to 2X Gender Criteria

  • 310K

    low income students served

  • 1024

    jobs created

Our Impact Framework

Our impact measurement and management framework aligns with the Impact Management Project (IMP). Launched in 2016, IMP has seen over 2,000 organisations come together to create a common language to understand the change in outcomes created by an organisation. The five dimensions of impact below are the building blocks and the compass by which we hope to better measure, report, compare and improve impact.

  • What

    What outcomes does the effect relate to, and how important are they to the people (or planet) experiencing it?

  • How Much

    How much of the effect occurs in the time period?

  • Who

    Who experiences the effect and how underserved are they in relation to the outcome?

  • Contribution

    How does the effect compare and contribute to what is likely to occur anyway?

  • Risk

    Which risk factors are significant and how likely is it that the outcome is different from the expectation?