DataKind

What DataKind does

DataKind is a global nonprofit founded in 2011 that applies data science and AI to social challenges by pairing a community of more than 30,000 data scientist volunteers with mission-driven organizations including nonprofits, government agencies, higher education institutions, and humanitarian response bodies. The organization operates across four stated domains (frontline health, humanitarian action, climate and environment, and economic opportunity) and maintains at least eleven proprietary products, including Beacon (a community data platform launched June 2026), Edvise (an AI-powered student advising platform serving institutions like University of Central Florida and Lee College), the Humanitarian AI Assistant (HDIP, co-developed with Save the Children and Microsoft), the Data Observation Toolkit (recognized as a Digital Public Good), Climate Finance Navigator, Fenceline Data, Colandr, DIFIT, the Economic Opportunity Datascape, Ladder, and a Foreclosure and Eviction Analysis Tool. AI capabilities span predictive analytics, natural language processing, computer vision, anomaly detection, generative AI, recommendation engines, and optimization, with applied deployments validated through outcomes such as a reported 17× increase in AI usage during Sri Lanka's Cyclone Ditwah.

DataKind is registered as a 501(c)(3) in the United States with a wholly-owned subsidiary DataKind UK (a charity and company limited by guarantee in England and Wales), and operates additional chapter presences in Bangalore, Singapore, San Francisco, Washington DC, and Nairobi, with staff on four continents. The organization holds SOC 2 Type 2, GDPR, and CCPA/CPRA compliance certifications, and is a member of the Partnership on Artificial Intelligence. Strategic partnerships span frontier-tech and philanthropy: OpenAI (flagship AI Jam on disaster management in 2026 with the Bill & Melinda Gates Foundation and ADPC), Microsoft, Google.org, The Rockefeller Foundation, the Mastercard Center for Inclusive Growth, Teradata (a decade-long Teradata Cares relationship), data.org, the IMF, and Gavi, the Vaccine Alliance.

DataKind does not sell products in a commercial sense; revenue is derived primarily from foundation and corporate grants, with disclosed programmatic inflows of $20 million from The Rockefeller Foundation (January 2019), $2 million from Omidyar Network (2016), and $1.1 million from Google.org (December 2021). Services reach partners through three channels: long-form DataCorps partnerships, short-form DataDive volunteer events (in-person, virtual, and hybrid), and self-serve volunteer onboarding via Rosterfy, supplemented by capacity-building programs (Learning Circles) and an open knowledge base (DataKind Playbook).

Name

DataKind

Legal name

DataKind

Website

https://datakind.org

Company type

Private

Founded year

2012

Operating status

Operating

Headcount range

11–50 employees

Short description

DataKind is a 501(c)(3) nonprofit that applies data science and AI to social challenges by pairing 30,000+ volunteer data scientists with nonprofits, governments, universities, and humanitarian organizations across four continents, delivering products like Beacon, Edvise, and the Humanitarian AI Assistant.

Ownership category

akta.pro rank

Product category

Social impact data science and AI

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518), Scientific Research and Development Services (5417)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Programming Services (7371)

akta.pro primary industry

Data Platforms & Modern Data Stack Services (Lakehouse, DW, MDM) (BPAEAHAC)

akta.pro secondary industries

Data Strategy & Governance Services (BPAEAHAA), Data Monetization & Data Products Services (BPAEAHAL), Data Sharing, Data Exchange & Data Marketplace Platforms (HDAEABAH), Data Governance Platforms (Policies, Stewardship, Workflows) (HDAEADAB)

Keywords

• Data science for good
• Social impact analytics
• Nonprofit technology platforms
• Data science volunteer network
• Humanitarian AI solutions

Headquarters

HQ city

New York

HQ country

United States

HQ region

North America

Offices7 records

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Technology or R&D, Marketing or Sales, Operations, Others

Revenue model

1. Foundations and Corporate Grants: DataKind receives support from foundations and corporate partners including The Rockefeller Foundation, Google.org, Mastercard Center for Inclusive Growth, Gates Foundation, and others. In 2019, DataKind raised $20M from The Rockefeller Foundation and others for Data Science for Social Impact collaborative.

Go-to-market motion2 records

Distribution channels3 records

Marketing channels8 records

Core offering

DataKind is a global nonprofit that delivers data science and AI solutions to mission-driven organizations by mobilizing a 30,000+ volunteer data scientist community alongside in-house staff. It builds and provides a portfolio of open and freely available AI/data platforms (Beacon, Edvise, Climate Finance Navigator, Humanitarian AI Assistant, and others) and runs service programs such as DataDive events, DataCorps project engagements, and Learning Circles for capacity building across frontline health, humanitarian action, climate and environment, and economic opportunity domains.

Product overview

DataKind is a nonprofit organization that operates as both a product innovator and movement catalyst in the Data for Good space, leveraging data science and AI to address social challenges. The company offers a portfolio of data-driven products including Beacon (community data platform), Edvise (higher education student success tool), Climate Finance Navigator, Colandr, Data Insights for Financial Inclusion Toolkit, Data Observation Toolkit (DOT), Economic Opportunity Datascape, Fenceline Data, and the Humanitarian AI Assistant. These products are complemented by the DataKind Playbook (knowledge base) and services like DataDive Events and Learning Circles. The portfolio spans multiple domains including frontline health, humanitarian action, climate and environment, and economic opportunity, with a global community of over 30,000 data scientist volunteers contributing to projects worldwide.

Differentiator

Problem solved

Functional benefit

Brands

• Beacon: Community data platform for coordinated action
• Climate Finance Navigator
• Colandr
• Edvise
• Data Observation Toolkit
• Fenceline Data
• Humanitarian AI Assistant
• Ladder
• DataKind Playbook
• DataDive
• DataCorps

Products and services

• Beacon Community data platform for coordinated local action and data-driven decision making at the community level, co-developed alongside practitioners over years of engagement.
• Edvise Freely available AI-powered advising support platform that helps higher education advisors identify students who may need extra support, enabling proactive and data-driven student success efforts.
• Climate Finance Navigator Platform providing tools and insights for targeting savings programs and financial services to underserved communities, particularly women, to enhance inclusive climate finance.
• Colandr Data extraction and analysis platform designed for systematic literature review and evidence synthesis, helping researchers process and analyze large volumes of academic literature and documents.
• Data Insights for Financial Inclusion Toolkit (DIFIT) Toolkit providing data-driven insights and tools to enhance financial inclusion for underserved populations, developed with support from the Mastercard Center for Inclusive Growth.
• Data Observation Toolkit (DOT) Open-source toolkit for assessing and improving data quality in frontline health systems, recognized as a Digital Public Good by the Digital Public Goods Alliance.
• Economic Opportunity Datascape Comprehensive data platform providing insights into economic opportunity indicators, helping organizations understand and address economic disparities in communities.
• Fenceline Data Data platform focused on providing environmental and community data, particularly for fenceline communities affected by environmental hazards and pollution.
• Humanitarian AI Assistant (HDIP) Generative AI-powered platform that streamlines data access and use for humanitarian action, developed in partnership with Save the Children and Microsoft as part of the broader Humanitarian Insights initiative.
• Ladder Platform designed to make community data accessible, actionable, and equitable, co-developed with Second Harvest Food Bank of Central Florida to address food insecurity through AI.
• Foreclosure and Eviction Analysis Tool Open-source tool for analyzing foreclosure and eviction data, published on GitHub under DataKind's repository in collaboration with New America, supporting housing-loss research and policy work.
• DataDive Events High-energy, marathon-style events where data scientists, social impact professionals, and DataKind staff collaborate to find innovative data-driven solutions for social challenges, offered in-person, virtually, or in hybrid formats.
• Learning Circles AI-driven capacity building program equipping social impact leaders with practical tools and knowledge to leverage data science and AI in their organizations.

Quantifiable outcome

• 17× increase in AI usage during crises - cyclone-related messages on ChatGPT during Sri Lanka's Cyclone Ditwah

Named customers11 records

Segments7 records

Ideal customer profiles5 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability10 records

Feature9 records

Partnerships

Eleven partnerships are on record, tiered flagship, core and minor.

• OpenAIflagshipStrategic or Co-development Partner · 30 March 2026OpenAI partnered with DataKind for its first AI Jam focused on disaster management, held in Bangkok. The initiative brought together 50 disaster management leaders from 13 Asian countries to explore practical AI applications for crisis response, moving beyond experimentation to embed AI tools into operational workflows.
• Asian Disaster Preparedness Center (ADPC)coreStrategic or Co-development Partner · 30 March 2026ADPC partnered with OpenAI, Gates Foundation, and DataKind for the AI Jam on disaster management in Bangkok, contributing expertise in disaster preparedness for the Asia region.
• MicrosoftcoreStrategic or Co-development PartnerMicrosoft partnered with DataKind and Save the Children on the Humanitarian Data Insights Project (HDIP), using generative AI to streamline data access for humanitarian action. Microsoft also hosted DataKind's first in-person Nairobi DataDive at their office.
• Save the ChildrencoreStrategic or Co-development PartnerSave the Children partnered with DataKind and Microsoft on the Humanitarian Data Insights Project (HDIP), leveraging generative AI to transform how data is used for humanitarian action.
• Gavi, the Vaccine AlliancecoreStrategic or Co-development PartnerDataKind and Gavi released a joint report on leveraging AI and data science to enhance vaccine coverage and address access disparities. DataKind CEO Lauren Woodman attended Davos side event with Gavi.
• data.orgcoreStrategic or Co-development PartnerDataKind partnered with data.org on the $10 Million Inclusive Growth and Recovery Challenge, launched in partnership with the Mastercard Center for Inclusive Growth.
• International Monetary Fund (IMF)coreStrategic or Co-development PartnerDataKind partnered with IMF on a virtual DataDive event focused on climate risk and gender questions, with hundreds of volunteer data scientists analyzing climate-related data.
• Ed AdvancementcoreStrategic or Co-development PartnerDataKind and Ed Advancement partnered to expand equitable access to responsible AI in higher education, starting with Historically Black Colleges and Universities (HBCUs).
• National Student ClearinghousecoreStrategic or Co-development PartnerPartnership focused on transforming complex higher education data into actionable insights for advisors through DataKind's Edvise platform.
• Partnership on Artificial IntelligencecoreStrategic or Co-development PartnerDataKind joined the Partnership on Artificial Intelligence (PAI), a multi-stakeholder organization bringing together stakeholders to study and formulate best practices around AI technologies.
• Open Data InstituteminorStrategic or Co-development PartnerDataKind joined the Climate Resilience Peer Learning Network (CR-PLN) with Open Data Institute, Microsoft, and other social impact organizations for climate resilience initiatives.

Scale indicators4 records

Recent moves11 records

Expansion highlights6 records

Emerging players

• AI4ALL: AI4ALL is a nonprofit working to increase diversity and inclusion in AI. Comparable to DataKind in nonprofit AI focus, education vertical (Edvise intersects), and major tech-company partnerships (Google, Microsoft).
• GiveDirectly: GiveDirectly is a nonprofit that uses data and technology to deliver cash transfers efficiently to people in extreme poverty. Comparable to DataKind in tech-enabled social impact, data-driven decision making for the poor, and use of advanced analytics (predictive targeting) in development contexts.
• data.org: data.org is a nonprofit capacity-building initiative (founded by Mastercard and partners) that funds data-for-good projects, including DataKind's Inclusive Growth & Recovery Challenge. Overlapping mission and direct partnership make it an emerging peer with comparable social-sector data focus.
• Data for Black Lives: Data for Black Lives is a nonprofit movement of data scientists and organizers using data to challenge racial inequity. Comparable to DataKind in data-for-good mission, community-driven model, and policy/social impact orientation, though narrower in demographic focus.

Direct peers

• DrivenData: DrivenData is a nonprofit that runs data science competitions and builds machine learning solutions for social impact organizations. Closely comparable to DataKind in nonprofit model, data-for-good mission, volunteer/community engagement, and product-style delivery for NGOs and governments.
• Data-Pop Alliance: Data-Pop Alliance is a nonprofit focused on harnessing data for international development and humanitarian response. Directly comparable to DataKind's humanitarian, financial inclusion, and economic opportunity domains, with similar partner roster (UN agencies, developing-country governments) and data-science service delivery.
• Bayes Impact: Bayes Impact is a nonprofit that builds data products for social good (e.g., criminal justice, education). Comparable to DataKind in its nonprofit data-product-build orientation, focus on under-resourced public-sector partners, and product-first (rather than consulting) approach to social impact.
• Code for America: Code for America is a nonprofit that builds digital services for government and civic engagement with a volunteer-driven brigade model. Comparable to DataKind in volunteer community, civic-tech orientation, government partnerships, and event-driven delivery (similar to DataDive).
• IDInsight: IDInsight is a social-impact organization that uses data and evidence to help leaders in developing countries improve programs and policies. Comparable to DataKind in serving NGOs and governments in developing markets, deploying data scientists, and producing actionable analytical products.

Broad incumbents

• Microsoft AI for Good: Microsoft's AI for Good program funds and builds AI solutions for humanitarian, accessibility, and environmental challenges. A direct funder/partner of DataKind (HDIP with Save the Children) and a broad incumbent with overlapping capabilities in AI-for-social-impact at much larger scale.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/DataKind
• Facebookfacebook.com/DataKindOrg
• LinkedInlinkedin.com/company/datakind

Compliance3 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles12 records

Subsidiaries1 record

Funding overview

Funding rounds3 records

Investors2 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about DataKind