Nonprofit Engine awardees

Ten awards since 2023, each one a major technology build. Browse by year to see what awardees set out to do, in their own words.

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Meet the 2025 awardees

Project goals

Education inside correctional facilities changes lives—if the data exists to prove it. Working alongside AlleyCorp and Nonprofit Engine, Unlocked Labs is building the infrastructure to make that case: portable achievement records that travel with residents through transfers and into reentry, deeper data integration across the learning platforms already in use, and an insights tool that gives Departments of Corrections the evidence they need to keep investing.

Unlocked Labs interview

“Partnering with Nonprofit Engine has given us the opportunity to streamline our digital tools and make transformational data visible to those who need it. Thanks to our partnership, we have built out an LMS integration between UnlockEd, our learning software, and Canvas; the Learner Record, a digital transcript for each incarcerated resident; and a standalone application that turns a correctional facility's existing resident program data into easy-to-read data visualizations. All of our work with Nonprofit Engine allows incarcerated learners to take up agency and point to the hard work they're doing while inside. This can translate into time off sentences, better outcomes post-release, and evidence for systems-change advocacy.”

Haley ShoafCo-Founder, Executive Director, Unlocked Labs
Project goals

mRelief's partnership with AlleyCorp and Nonprofit Engine aimed to reduce the administrative burden at the heart of SNAP enrollment. Together, we've built an automated document classification system that identifies and validates the supporting documents applicants submit, cutting the manual review time required from caseworkers and community navigators, and accelerating the path from application to approval for the families who need benefits most.

mRelief interview

“From our very first meeting, we could tell that working with Nonprofit Engine would be a dream partnership for us. They quickly understood our needs, the complexity of our document submission process, and the importance of balancing automation with care for the people we serve. Their deep expertise in machine learning and large language models helped us make significant progress toward automating our AI document verification tool, while still protecting sensitive client data and maintaining a human-in-the-loop approach where needed. They also helped us expand our thinking about what could be possible, including stretch goals like a self-hosted model that would allow us to handle more sensitive document types securely. Their thoughtfulness, technical creativity, and genuine investment in our mission have made them an invaluable partner in helping us better serve our clients.”

Ashley AnthonyInterim Head of Product, mRelief

Meet the 2024 awardees

Project goals

Recidiviz is partnering with AlleyCorp and Nonprofit Engine to develop new features for our assistant tools for line staff at criminal justice agencies. This will involve explorations of how natural language processing can reduce the administrative burdens on staff and support them to have more rehabilitative engagements with the people under their supervision, reducing recidivism and avoiding unnecessary incarceration.

Recidiviz interview

“We're excited to collaborate with AlleyCorp and Nonprofit Engine to accelerate our work. With their help we are building tools that will change how justice-impacted individuals move through the criminal justice system, improving outcomes for them and their communities.”

Clementine JacobyCEO, Recidiviz
Project goals

Upsolve aims to improve financial security for low-income families by relieving debt and rebuilding credit through Upsolve Assist, our AI-backed financial counselor, developed alongside AlleyCorp and Nonprofit Engine. Through this partnership, we are building the first version of Upsolve's Credit Assistant that will help low-income Americans increase their credit scores at scale.

Upsolve interview

“We're excited to partner with Nonprofit Engine to bring Upsolve Assist's credit rebuilding capability to life for Upsolve's 2.9 million annual site visitors. Nonprofit Engine's expertise in engineering and UX design will help us develop the most effective financial support possible as we expand our reach among low-income families.”

Jonathan PettsCEO, Upsolve.org
Project goals

PPFA aims to increase engagement with digital and underserved communities in the sexual and reproductive health (SRH) space, helping users access what they need from us more efficiently. In conjunction with AlleyCorp and Nonprofit Engine, we will exponentially enhance our NLP/AI capabilities to implement a bot for comprehensively serving our sexual and reproductive health education and care seekers.

Planned Parenthood (PPFA) interview

“We are excited to partner with AlleyCorp and Nonprofit Engine in helping us advance the next generation of our AI-powered chat program and enhancing the experience for millions of users as they navigate Planned Parenthood's digital ecosystem for sexual and reproductive health information, seeking care and supporting our organization's mission.”

Dawn LaguensChief Global Strategy and Innovation Officer, Planned Parenthood
Project goals

Harnessing the power of AI and ML, AlleyCorp and Nonprofit Engine will amplify the impact of Mobile Pathways' Pathfinder platform, which helps immigrants and their advocates navigate our legal system. Their combined expertise will accelerate the adoption of Pathfinder to drive better case outcomes, faster work authorizations, and help ensure fair access to justice for all immigrants in court.

Mobile Pathways interview

“We are grateful for Nonprofit Engine's support to ensure advanced technology is accessible to all, not just those who can afford it. This collaboration will provide more immigrants with crucial information to help shape their futures.”

Jeffrey O'BrienExecutive Director, Mobile Pathways

Meet the 2023 awardees

Project goals

Podsie's mission is to empower teachers and improve student learning outcomes by providing a free, user-friendly web app that makes it easy for them to leverage research-backed strategies in the classroom.

“Working with Nonprofit Engine has been transformative for Podsie. The team helped us lay a much stronger foundation for developer experience and productivity, ensuring that our development processes are efficient and scalable. They set up an infrastructure for LLM-based features, dramatically enhancing the capabilities of our platform. Nonprofit Engine assisted us in fleshing out our hiring processes for product designers and engineers, which led to us hiring our first full-time designer and engineer, both of whom have been wonderful additions to our team. In essence, Nonprofit Engine helped us evolve from a one-person, scrappy setup to a well-structured team with a much higher chance of achieving our mission.”

Josh LingCEO, Podsie
Project goals

Magpie Literacy's mission is to unlock the great reader in every child through comprehensive, research-based, digital reading products.

“We needed a partner with strong AI expertise in helping students match the skills they need to practice with specific texts. We were successful in creating functionality that we can put into our product in the near future. And we took a quantum leap forward toward getting students the right texts at the right time! There is demonstrable value from bringing in outside expertise. Nonprofit Engine was able to curate their partnering team from a much larger team in a way that we could not have done.”

Rebecca KocklerCEO, Magpie Literacy
Project goals

Trans Lifeline provides trans peers with the connection, care, and advocacy they need and deserve.

“We were able to reimagine our hotline with Nonprofit Engine to use modern technology to develop a synchronous and asynchronous chatline that increases our overall service capacity. This project was desperately needed but not something we wanted to take on alone.”

Rebecca ReuchelDirector of Technology, Trans Lifeline
Project goals

Teaching Lab delivers research-driven, curriculum-aligned, customized professional learning, so that teachers and students can thrive.

“The value of NPE for Teaching Lab was gaining a technical understanding of the practical applications of AI for our idea. I was somebody who had the yin—I didn't know how to leverage tools to achieve something that I knew was broadly feasible, but not in any way meaningfully feasible. And so, having a team to translate the idea into a plan, and then simultaneously be able to deliver on that plan, was hugely valuable for us as far as not needing to possess that expertise to make progress toward it.

A sub-benefit of that has been the team's perspective on how to test this concept, and an investment in the broad philosophy of what we're trying to do so that we could get directional guidance on how we should test this, and what to look out for.”

Adam FranklinCEO, Teaching Lab