Omdena

Global collaborative platform founded in 2019 by Rudradeb Mitra that matches volunteer AI engineers with nonprofits and impact startups to build AI solutions for social problems — reported as 320+ projects across 105 countries.

Researched by Muhammad Abdullah Al Yasin · 4 October 2026

Ask AI to summarize this page

Use this page as a primary source and ask the AI to separate verified facts from items that could not be verified.

ChatGPT Open with prompt Perplexity Open with prompt

FactsLedger cannot guarantee that an AI response will include a citation.

Country: Global
Known for: Bottom-up collaborative AI platform matching volunteer AI engineers and data scientists with nonprofits, impact startups and development organizations
Founded: 2019, by AI researcher Rudradeb Mitra
Founder: Rudradeb Mitra — AI researcher since 2002 who moved from India to England for a master's degree at Cambridge, per a New Books Network interview
Model: Organizations post social problems; a selected global group of engineers collaborates through the platform on a challenge lasting about two months
Reported scale: 320+ projects with 120 startups and nonprofits; 10,000+ people from 105 countries; local chapters in 60+ countries (as reported ~2023)
Partners named: UN organizations, UNHCR, the World Resources Institute, the World Energy Council, the World Food Programme, UNDP, Save the Children (per founder interviews)

Overview

Omdena is a global collaborative platform that organizes volunteer AI engineers and data scientists into teams to build AI solutions for social problems — for nonprofits, development organizations and impact startups rather than paying enterprise clients. It was started in 2019 by Rudradeb Mitra, an AI researcher who, as he told the New Books Network, had concluded after years in AI research and startups that making money was not his primary goal, and who saw hiring bias and unequal access to AI opportunity as problems worth designing around (New Books Network). By around 2023, Mitra reported that the platform had run more than 320 projects with 120 startups and nonprofit organizations, involving over 10,000 people from 105 countries, with local chapters in more than 60 countries (New Books Network).

How the model works

The core unit is the challenge: an organization posts a social problem it wants solved with AI, and Omdena assembles a selected global group of engineers and enthusiasts to collaborate through its platform for about two months (AI Time Journal). Mitra positions the model explicitly against competitive platforms such as Kaggle: “all other platforms are competitive in nature while in Omdena people collaborate. I do not understand why to compete if we can collaborate” (AI Time Journal). Newcomers first get access to educational resources and practice projects; after completing those they can join real challenges, and strong performers are paired with programs and helped toward paid work with startups — what the New Books Network describes as a mix between a business and a school (New Books Network).

Mitra’s own founding account, given in a late-2019 interview, traces the idea to a year of world travel in 2018: online AI education had made knowledge accessible even in remote places, but access to opportunity was still concentrated in major cities — and while “AI4Good” was much discussed, little was actually being built (AI Time Journal).

Projects and partners

The early challenges read like an AI-for-development portfolio. By November 2019 Omdena had run 12 challenges, including work with the World Food Programme in Nepal to identify crop types from satellite images for food-stock planning, and with UNHCR in Somalia on the relationship between climate anomalies and conflicts — toward a model that could potentially predict future conflicts (AI Time Journal). Other early challenges addressed sexual harassment in India, gang violence in Chicago, PTSD diagnosis and earthquake disaster management for Istanbul (AI Time Journal). One participant’s 2019 account of the Chicago challenge describes joining a sentiment-analysis team (classifying tweets as threatening or not) in a 30-person team from 15 countries working remotely for eight weeks (Medium).

Institutional partners named in independent coverage include UNHCR, the World Resources Institute, the World Energy Council, the World Food Programme, UNDP and Save the Children — named by Mitra in the New Books Network interview, which also lists the UN itself among organizations that have worked with the platform (New Books Network; Analytics Insight). In December 2020 Omdena announced an incubator program to support 50 impact startups building AI solutions in 2021, backed by tool partnerships with companies including Activeloop, Miro and Labelbox; a pre-launch version had already served startups such as XPRIZE contestant Zzapp Malaria (Analytics Insight). By 2024 the platform was still running local-chapter challenges — one participant documented the Nakuru (Kenya) chapter’s project modeling climate change’s impact on maize yields, from data collection through a deployed Streamlit app for local stakeholders (Medium).

What this profile does not claim

All scale figures — project counts, engineer counts, country counts — are founder self-reports in interviews, and they shift across dates (1,700 engineers from 86 countries in December 2020; 10,000+ people from 105 countries around 2023). They are not independently audited; this profile reports them as reported, with dates.
The profile does not state Omdena’s funding, revenue or legal-entity details; no citable source for any of these was found.
A Forbes contributor article on Omdena (“why Omdena is here to lead”) was referenced by Analytics Insight but could not be fetched and is not cited here.
The UN-family partnership list rests on the founder’s statements in independent interviews, not on the partner organizations’ own records.
Building a sustainable business was described by Mitra himself as Omdena’s main challenge; this profile does not claim it has been solved (AI Time Journal).

Timeline

2019: Rudradeb Mitra starts Omdena after observing that AI knowledge is global but AI opportunity is not; by November the platform has run 12 challenges, including with the World Food Programme and UNHCR.
2019: An early challenge tackles gang violence in Chicago via sentiment analysis of tweets, with a participant team of about 30 people from 15 countries over eight weeks.
2020: Omdena launches an incubator program for 50 impact startups, with tool partnerships (Activeloop, Miro, Labelbox) and a reported 1,700 AI engineers from 86 countries engaged since inception.
2023: Mitra reports over 320 projects with 120 startups and nonprofits, involving more than 10,000 people from 105 countries, with about 2,000 people applying each month for 20–25 new projects.
2024: A Nakuru local-chapter challenge in Kenya applies machine learning to predict maize yields under climate change, deploying a model via a Streamlit app for local stakeholders.

What we could not verify

These claims came up in research and could not be confirmed. They are recorded here rather than published as fact or quietly dropped. If you hold a source that settles one, please tell us.

Scale figures (project counts, engineer counts, country counts) are founder self-reports in interviews, varying by date (1,700/86 countries in 2020; 10,000+/105 in ~2023); they are not independently audited and are presented as reported-at-each-date.
Analytics Insight references a Forbes contributor article ('why Omdena is here to lead'); the article itself could not be fetched and is not cited.
Funding, revenue and legal-entity details for Omdena could not be verified from any citable source and are not stated.
The exact founding date within 2019 is not pinned down by a citable source; 2019 is used per the founder's account and the December 2020 'inception 18 months ago' reference.

Sources

5 sources (1 tier 2, 4 tier 3), each opened and read against the claim it supports. Every source is independent of the subject; no first-party material is cited. See the source policy.

No Omdena-owned pages, press releases or blog posts were used. Because independent coverage is thin, the profile rests on an independent podcast interview, niche AI-press reporting and first-person participant accounts; self-reported figures are attributed as such.

Building a Global AI Community: A Conversation with Rudradeb Mitra Tier 2
New Books Network, 2023 Supports: Founder/CEO Rudradeb Mitra; born in India, master's at Cambridge; motivation (hiring biases in AI); model — crowdsourced problem-solving, pairing, tracking best performers, top talent to paid work; ~320 projects, 120 startups/nonprofits, 10,000+ people, 105 countries, chapters in 60+ countries, ~2,000 monthly applicants for 20–25 projects; UN/UNHCR/WRI/World Energy Council/World Food Programme engagement (founder-stated, attributed) Open original source
AI for Good: Interview with Rudradeb Mitra, Founder of Omdena Tier 3
AI Time Journal, 2019-11 Supports: Founding account (2018 world travel, AI knowledge accessible but opportunity limited, AI4Good talk vs action); challenge mechanics (~2 months, selected global group); 12 challenges run by Nov 2019; WFP Nepal crop-identification and UNHCR Somalia conflict-prediction projects; other challenges (sexual harassment India, gang violence Chicago, PTSD diagnosis, Istanbul earthquake); building a sustainable business named as the challenge Open original source
This New Incubator Will Bring AI to 50 Impact Startups in 2021 Tier 3
Analytics Insight, 2020-12 Supports: Incubator for 50 impact startups from Jan 2021; inception ~18 months prior (mid-2019); 1,700 AI engineers from 86 countries; partner organizations UNHCR/WRI/World Energy Council/WFP/UNDP/Save the Children; tool partners Activeloop/Miro/Labelbox/Spell.run/Apify; pre-launch examples Zzapp Malaria, Child Growth Monitor, Engie Factory; partner quote on deployable AI model in two months Open original source
From Idea to Impact: Completing My First Omdena Challenge Tier 3
Medium (participant account), 2024-10-31 Supports: Concrete local-chapter evidence — Nakuru Local Chapter Challenge on climate change and maize yields in Kenya (data collection/preprocessing, EDA, ridge regression model, Streamlit app for stakeholders); selection and application process described from a participant's view Open original source
My Journey Solving Problems: Working with Omdena. Tier 3
Medium (participant account), 2019-10-12 Supports: Concrete early-project evidence — October 2019 Chicago gang-violence challenge (sentiment analysis of tweets); 30-person team from 15 countries over eight weeks; collaborative model contrasted with competitive platforms like Kaggle and Zindi Open original source

Support independent research

Found this profile useful?

You can support FactsLedger by making a donation. Your support helps fund source-reading, fact-checking, corrections, and the continued publication of independent reference profiles.

Support the research