Their Stories

Real charities, real challenges, real impact

Real projects we've built for real organizations. Each solution was delivered in weeks using AI-accelerated development—making enterprise-quality software accessible to nonprofits.

Youth Mentoring Program: AI-Powered Matching System

Built with AI in 3 weeks

The Challenge

A youth mentoring program had qualified volunteers ready to help, but manually matching mentors with students was taking too long. The program director was spending hours each month trying to match based on personalities, schedules, interests, and geography—creating a bottleneck that limited how many kids they could serve.

What We Built

Using AI, we created an intelligent matching system that considers personality compatibility, schedule conflicts, required certifications, and location. The AI suggests optimal matches and flags situations that need human review. The entire system was built and deployed in about three weeks.

The Impact

The program can now process mentor-student matches much faster, allowing them to serve more kids without hiring additional staff. Staff spend less time on administrative matching and more time supporting the actual mentoring relationships.

"I was skeptical about letting technology help with these decisions—these are vulnerable kids. But the AI actually captures the important factors and helps me make better matches faster. Now we can help more students without compromising on quality."

Scholarship Fund: Automated Application Screening

Built with AI in 4 weeks

The Challenge

A scholarship fund was spending too much time on manual eligibility verification—checking income requirements, GPA thresholds, residency status, and document completeness. Each application took hours to process, creating a bottleneck that limited how many students they could help.

What We Built

We used AI to automate the tedious verification steps. The system checks eligibility criteria, validates documents, and instantly notifies applicants if anything is missing. Applications that pass automated screening go to staff for the human judgment parts—reviewing essays and evaluating special circumstances. Built and deployed in about four weeks.

The Impact

Staff now spend their time on the meaningful work that requires human judgment, not administrative verification. The fund can process more applications without adding staff, and students get faster responses about their eligibility status.

"The AI handles all the tedious verification work, so we can focus on what matters—reading essays and understanding each student's unique situation. We're helping more students without burning out our team."

Animal Shelter: AI-Generated Adoption Bios (Adoptomatic)

Built with AI in 2 weeks

The Challenge

An animal shelter was struggling to write compelling adoption bios for every animal. Staff had limited time, so most listings ended up as basic descriptions: "Male lab mix, 2 years old, good with kids." They knew better stories would help animals get adopted faster, but hiring a professional writer wasn't in the budget.

What We Built

We built Adoptomatic—an AI tool that turns basic animal information into engaging adoption stories. Staff enter details about the pet's personality, behavior, and needs, and the AI creates personalized narratives in seconds. The stories are ready for their website, social media, and adoption platforms immediately.

The Impact

Every animal now gets a compelling, personalized story without staff spending hours writing. Senior animals and those with special needs get the detailed narratives that help people see past age or medical issues. The shelter can keep adoption content fresh across all their platforms.

"Now every animal gets the story they deserve, and it takes minutes instead of hours. Better stories mean more people see past the basics and connect with the animal's personality."

Community Services: Accessible Voice Feedback System

Built with AI in 3 weeks

The Challenge

A community services center was only hearing feedback from English-speaking clients who were comfortable with written surveys. Many clients—immigrants, refugees, elderly residents, those with limited literacy—weren't participating in feedback, so the center was missing the voices of the people who needed help most.

What We Built

We built Voice Feedback—an accessible platform where anyone can respond in their own voice and language. Audio prompts guide users through questions, responses are automatically transcribed and translated, and AI sentiment analysis helps staff identify concerns quickly. No reading or writing required.

The Impact

The center now hears from people who were previously silent in program decisions. They've discovered program issues they didn't know existed and learned what changes would actually help their most vulnerable populations. More inclusive feedback has also helped with grant applications that ask about serving diverse communities.

"We learned things from Voice Feedback that we never would have known from written surveys. Now we can actually serve people better because we understand what they need."

Nonprofit Foundation: AI Knowledge Base (Clarifia)

Built with AI in 2 weeks

The Challenge

A nonprofit foundation had accumulated years of valuable institutional knowledge—program reports, board meeting recordings, grant proposals, outcome data—but finding anything took forever. Writing grant applications meant spending days digging through old files. Important knowledge was trapped in documents scattered across different systems.

What We Built

We deployed Clarifia—an AI-powered knowledge platform that lets staff "chat" with all their organizational content. They uploaded their documents, videos, and audio recordings. Now anyone can ask questions like "What were our program outcomes last year?" or "What did the board decide about eligibility criteria?" and get instant answers with source citations.

The Impact

Staff can find information in minutes instead of hours or days. Grant writing is faster because data is instantly accessible. New staff can onboard more quickly by asking the knowledge base instead of interrupting busy colleagues. Board members can search meeting transcripts themselves instead of calling staff with questions.

"Our institutional knowledge used to be locked in filing cabinets and people's heads. Now anyone on our team can find what they need in minutes. That means we can pursue opportunities we would have skipped before because the research would've taken too long."

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