December 3 | 4PM CET
Matching Day: meet organisations ready to build AI with your team
Register
December 3 | 4PM CET Online event

Matching Day: meet the organisations ready to build
AI with your team

On December 3, social impact organisations pitch the AI project they need a tech partner to build. Each organisation brings a proven intervention and its own technical brief.
Register your team and apply for a project before these briefs go out to the rest of our network.

Claim your spot
Free to attend, nothing to prepare. Registering doesn't commit your team to a project. Show up, hear the briefs, and decide afterwards.

December 3, 2026
Thursday

4:00–5:00 PM CET
10:00–11:00 AM ET

Why tech companies join

60 minutes to find a project worth your team's time.

Every organisation pitching on December 3 has been through application review and interviews for the AI Impact Scaling Program. Each pitch covers what the organisation runs today, what needs building, and what that build makes possible.
‍
In 60 minutes you will hear every brief and know which ones your engineers could take on.

MatchingDay
AI projects across sectors that matter

Briefs on the table come from education, workforce and career pathways, food and agriculture, and other fields where proven work is ready to reach more people. Pick the field your team wants to work in.

Engineering work with a clear scope

These projects need the kind of work your team ships every quarter. Expect briefs covering speech recognition for languages with little training data, AI assistants grounded in an organisation’s own content, image analysis, and the data pipelines and infrastructure that let a live platform serve far more users. Each pitch on December 4 names the specific build the organisation needs.

What your team takes back

Teams that take on a project earn the TTTR Badge, are featured across our ecosystem channels, and finish with a documented case study you can put in front of clients, candidates, and your leadership team. You also join a network of companies delivering AI work with social impact organisations worldwide.

No cost, no commitment

Joining the event is free, and registering doesn’t commit your team to a project. Hear the briefs and decide whether anything fits. If it does, you are first in line to apply. If not, you have spent 60 minutes seeing what organisations in the AI Impact Scaling Program are building with AI.

How this works

From the live event to project kickoff.

MatchingDay

1

Join the TTTR ecosystem
‍
No commitment to match. Join our Tech To The Rescue community.

2

Join the live event
Each social impact organisation pitches their AI project in three minutes. You can ask questions directly and see which ones might fit your team.

3

Apply for the collaboration
Registered tech companies get a head start before applications open more widely.

4

Matching meeting
We facilitate a structured introduction between your team and the social impact organisation to align on scope, timeline, and ways of working before kickoff.

We are grateful to Google.org for funding and supporting this program, which enables high-impact social organizations to access the specialized tech expertise they need to scale their AI solutions.

Meet the organisations looking for a tech partner

On December 3, Matching Day brings together seven social impact organisations from the AI Impact Scaling Program. All seven are referred and supported by Google.org.

The International Food Policy Research Institute runs Picture-Based Insurance through insurer and digital agriculture partners, including Dvara E-Registry in India and ACRE Africa in Kenya. Smallholder farmers submit photos of their fields, which are used to assess crop damage and trigger insurance payouts. IFPRI reports three independent impact evaluations and more than 70,000 labelled field photos from over 9,000 farmers. Manual photo review currently limits how many farmers its partners can insure. At Matching Day they want a tech partner to build a computer vision model that detects crop damage and estimates its extent, routes uncertain cases to claims staff, and connects by API to Dvara E-Registry's claims workflow.

Wadhwani AI's Oral Reading Fluency Teacher Tool runs inside state education platforms in Gujarat and Rajasthan. It uses speech recognition adapted to children's speech to assess reading aloud, then sorts children into four reading groups. Wadhwani AI reports more than 9.2 million students and 34 million assessments, with partnerships signed in seven more states. The current speech model is about 1.2 GB, runs on a server and needs an internet connection. At Matching Day they want a tech partner to take on one of three speech AI problems: running the model offline on entry level phones, separating the assessed child's voice from other voices in the room, or adapting the model to regional dialects and accents.

1EdTech is a standards consortium that maintains CASE, the standard for exchanging competency frameworks as machine readable data, and OpenCASE, a free open source editor for those frameworks. CASE frameworks exist for all 50 US states, and the Georgia Department of Education logged more than 28 million people from 12 countries accessing its CASE aligned frameworks between April 2025 and June 2026. OpenCASE has no AI component today. At Matching Day they want a tech partner to build an AI layer that turns PDFs, spreadsheets, catalogues and syllabi into valid CASE frameworks, keeps faculty wording verbatim, traces every item to its source, and publishes nothing without faculty approval.

Basta helps first generation college students into career pathway jobs through Seekr, its career navigation platform, and partnerships that reach more than 300 campuses. Basta reports that 66% of its participants are in career pathway jobs within 12 months, against a 44% national benchmark for first generation students. Its AI resume coach, built on Basta's own coaching method, is already in student use, running through students' own AI accounts. At Matching Day they want a tech partner to bring the coach into Seekr, with a model agnostic layer that compares models on quality and cost and evaluates the quality of responses.

REACH Pathways, a 2024 spinout of Chicago Scholars, runs a college and career readiness platform where students complete quests guided by REACH-E, an AI copilot. It reports 50,000 users, more than 160,000 quests completed and 70% returning users, with no paid acquisition. Some quest tasks, such as resume work and surveys, still open outside the platform, so their inputs are not captured. At Matching Day they want a tech partner to bring those tasks into the platform and build AI summaries of student submissions for advisors and partners.

Edufarmers runs Bertani, a village extension model for smallholder farmers in Indonesia that combines pioneer farmers, Farmer Field Schools and Pak Dayat, an AI agronomist on WhatsApp with 55,706 reported users. A 2025 evaluation of more than 1,200 farmers reports 12% higher yields and about USD 830 more profit per season than in control villages, over one production cycle. A Pak Dayat app launches with its first 50 farmers in December 2026. At Matching Day they want a tech partner to turn that app into a season companion, with a shared farmer profile across WhatsApp and the app, season reminders, guided decisions that draw on AI, and more accurate weather information.

The CrunchLabs.org Foundation, founded in 2025 by Mark Rober, runs Class CrunchLabs, a free science curriculum for grades 3 to 8 aligned to the Next Generation Science Standards, used by classroom teachers and homeschool families. It reports 39,057 accounts since February 2026 with no paid promotion. A 2026 CU Boulder study found strong student engagement and highlighted teachers' difficulties with navigation, pacing and assessment. At Matching Day they want a tech partner to build CrunchCoach, an AI instructional coach grounded in the Class CrunchLabs curriculum and integrated into the platform and its professional learning for teachers.

Case study: What a match looks like in practice

Assessing Wildfire Damage with AI: Flying Labs Brazil

Case study: Assessing Wildfire Damage with AI: Flying Labs Brazil

Join our Tech for Good Ecosystem

2,500+ organisations in our ecosystem

Growing network of tech companies and social impact organisations

1100+ pro-bono partnerships created

Connecting tech talent with meaningful impact

80+ countries, 6 different continents

Creating impact across diverse global communities

€18M+ pro-bono value delivered so far

Tech expertise invested in social good

You'll be in good company

Lenovo logoOkta logo10 clouds logoNordVPN logonetguru logoIDEO logo

Your next meaningful project is already waiting.

Organisations from the AI Impact Scaling Program arrive on December 3 with a technical brief and the evidence behind it.

Join the Matching Day, hear what they need, and be first in line to apply.

Attending is free. Registering doesn't commit your team to a project

Claim your spot
Free to attend, nothing to prepare. Registering doesn't commit your team to a project. Show up, hear the briefs, and decide afterwards.