Automated Data Extraction:
Developed an AI tool to process and extract data from PDFs, CSV files, and the U.S. Census API with minimal manual intervention.
Testimonials & Success Stories
A New York-based nonprofit dedicated to advancing children’s rights and educational equity through advocacy and research.
The organization grappled with manual, time-intensive processes for extracting and analyzing large volumes of data from PDFs, CSVs, and the U.S. Census via API. They also faced limitations with manual data entry and poor accessibility to insights within their legacy database, reducing operational efficiency and detracting from their core mission.
Through Tech NYC’s Decoded Futures volunteer initiative, Defensible partnered with the nonprofit to bridge the technology gap by implementing secure, responsible, AI-driven tools. The objective was to streamline data workflows, improve access to critical information, and enhance decision-making across the organization.
Defensible designed and deployed a custom GPT-powered AI solution tailored to the nonprofit’s operational and data needs:
Developed an AI tool to process and extract data from PDFs, CSV files, and the U.S. Census API with minimal manual intervention.
Enabled automated and dynamic data pulls from the Census API, speeding up research workflows and reducing lag in reporting.
Built a natural language chatbot interface that allowed non-technical users to interact with the legacy database using simple prompts.
Empowered staff to query complex datasets without SQL knowledge, significantly enhancing internal data literacy and usage.
With Defensible’s AI solution, the nonprofit achieved: