Do I need to have AI built already?

No. You need a proven social intervention with real users and results. The program helps you scope, build, and deploy the AI component with a matched pro bono tech partner. Some organizations in the pilot cohort arrived with AI integrated. Others came with a strong intervention and a vision for where AI fits. Both profiles are welcome.

How much time does the program require?

A dedicated project manager investing at least five hours per week for 12 months. The first three months have mandatory bi-weekly sessions every other Wednesday at 2PM CET, covering onboarding, data readiness, partnership management, and fundraising. After matching, the cadence depends on your development schedule.

Why does onboarding take three months before matching?

Organizations that complete the preparation phase enter matching with clear project briefs, partner value propositions, and realistic expectations. In the pilot cohort, this led to faster, better matches. Your tech partner can start building immediately because the groundwork is done.

What kind of tech partner will I be matched with?

TTTR's ecosystem includes 2,000+ software agencies, universities, and AI professionals. Matching considers your project's technical requirements, sector, and timeline. Partners contribute on a pro bono or low bono basis. You meet them at Matching Day after the onboarding phase.

Is there a cost to participate?

The program is free for accepted organizations. Pro bono tech development, specialized hub sessions, community access, cloud credits, and partner offers are all included. Equivalent services on the open market cost $150,000 to $330,000 per organization.

What happens after the 12 months?

You keep alumni access to the TTTR ecosystem for life: community, specialized hub sessions, partner offers, and visibility opportunities. Your organization becomes part of TTTR's portfolio of scalable solutions, which creates ongoing visibility with funders and partners.

When is the next cohort if I miss this deadline?

The program runs quarterly. The next call for applications opens later in 2026. Subscribe to the newsletter below to be notified.

AI Impact Lab

Applications are open from 15 June to 24 July 2026.

The Kuehne Foundation and Tech To The Rescue are running a 10-week Impact Lab for local and national organizations working in humanitarian supply chains. You bring the operational knowledge and a real bottleneck. The Lab helps your team turn it into a working AI prototype, a development plan, and a clear path to funding.

You do not need to be a tech organization. You hold the domain knowledge.
The Lab brings the AI.

Apply now

years of Kuehne Foundation work in logistics and supply chain

students reached each year through Kuehne’s LEARN Logistics

graduates from TTTR AI bootcamps for social organizations.

pro bono technology partners in the TTTR ecosystem.

Your team completes self-paced learning to reach a shared baseline before the bootcamp. It covers AI fundamentals, data basics, and how to define your problem clearly, so the team starts the bootcamp ready to build.

The bootcamp combines workshops, expert sessions, and structured prototype development. You move from problem definition to solution design to a working prototype, with mentorship at each step. The bootcamp opens with a Great Opening Session and ends with Graduation Day.

Selected organizations are invited into the AI Impact Scaling Program to develop, implement, and scale the solution further.

Do you have question?

Contact with our team!

Angelika Nocoń

SIO Engagement Manager@ Tech To The Rescue
angelika.nocon@techtotherescue.org

Your defined problem becomes a testable solution, a mock-up, workflow, or proof of concept that your team has built and can show to funders and partners.

You leave with a Solution Blueprint covering the technical plan, ethics, roadmap, and maintenance, so the prototype has a credible path to real deployment.

Your two to three participants build practical AI literacy they keep, with mentorship from AI and impact experts throughout the bootcamp.

Organizations that finish with a validated prototype and a development plan can be invited to continue in the AI Impact Scaling Program, and arrive at funding conversations with something concrete to show.

Proven social intervention. Supply chain is your core work and has operated in the real world for at least two years. You have an active humanitarian mandate and evidence of outcomes, adoption, and operational stability.

A defined problem with a clear AI fit. You can name a specific bottleneck that limits your reach or quality, and show why AI is the right way to address it.

Articulable impact. You can describe what concretely changes if the solution works, whether that is scale, efficiency, quality, or reach.

Data readiness. You have data relevant to the problem, in a form that can support building a prototype within the bootcamp’s short timeline.

Leadership and execution capacity. You have the internal motivation, leadership, and team structure to execute during the bootcamp, and can commit a team of two to three people for the full ten weeks.

We give priority to local and national NGOs based in the Global South, refugee-led organizations, women-led organizations, local coordination hubs, and organizations open to sharing their solutions so others can reuse them.

Backed by deep supply chain expertise

The Kuehne Foundation is a Swiss nonprofit founded in 1976, with nearly 50 years turning private sector logistics expertise into public good. Its HELP Logistics arm works with governments and humanitarian agencies on supply chain resilience across Africa, the Middle East, and Asia, alongside WFP, UNICEF, FAO, IFRC, and more than 30 other actors. Its LEARN Logistics arm builds supply chain education inside universities across Africa, Asia, and Latin America, reaching more than 10,000 students a year.

Tech To The Rescue brings the AI side: five completed bootcamps for social organizations, 350 plus graduates, and an ecosystem of more than 2,000 pro bono technology partners.