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Stop guessing who will donate next. We integrate machine learning algorithms that analyze historical donor data to predict giving patterns, helping you target the right supporters at the right time with the right message.
Scale your services instantly. From NLP-powered chatbots that guide beneficiaries to resources 24/7, to automated application screening for aid, we build tools that deliver help faster and more equitably.
Innovation requires responsibility. We build AI systems with strict governance and SOC-2 Type II compliance, ensuring your algorithms are transparent, unbiased, and protect vulnerable beneficiary data.
Grant reporting shouldn't take weeks. We use data engineering to automate the collection and visualization of impact metrics, giving you real-time dashboards to satisfy board members and grantors instantly.
Technology must include everyone. We design software that meets WCAG 2.1 AA standards, ensuring your AI-driven services are fully accessible to people with disabilities and diverse communities.
You don't need a massive tech team to use AI. We act as your innovation lab, helping you identify high-value AI use cases, prototype them quickly, and scale what works—optimizing your budget for actual mission outcomes.
You don't need to build ChatGPT from scratch. We help you leverage existing AI models via APIs to solve specific problems—like automating donor emails, summarizing case notes, or predicting program churn—which is far more cost-effective than building proprietary models.
Most non-profits have data trapped in silos. Before we build "magic" AI features, we often start by building a modern data infrastructure that cleans and centralizes your records, ensuring your AI tools have accurate information to learn from.
We take "Ethical AI" seriously. During development, we audit algorithms for bias to ensure they don't unfairly filter out beneficiaries. We also prioritize "Human-in-the-Loop" systems, where AI makes recommendations, but humans make the final critical decisions.
Off-the-shelf CRMs offer generic AI features that often don't fit unique mission models. Custom AI non-profit software allows you to train models on your specific data and workflows, creating a proprietary asset that actually differentiates your organization.
You don't need to build ChatGPT from scratch. We help you leverage existing AI models via APIs to solve specific problems—like automating donor emails, summarizing case notes, or predicting program churn—which is far more cost-effective than building proprietary models.
Most non-profits have data trapped in silos. Before we build "magic" AI features, we often start by building a modern data infrastructure that cleans and centralizes your records, ensuring your AI tools have accurate information to learn from.
We take "Ethical AI" seriously. During development, we audit algorithms for bias to ensure they don't unfairly filter out beneficiaries. We also prioritize "Human-in-the-Loop" systems, where AI makes recommendations, but humans make the final critical decisions.
Off-the-shelf CRMs offer generic AI features that often don't fit unique mission models. Custom AI non-profit software allows you to train models on your specific data and workflows, creating a proprietary asset that actually differentiates your organization.
PM was amazing. They were on top of everything and kept the project moving very quickly. Because we worked quickly on our end, our project actually came in early. The PM enabled that.
PM was amazing. They were on top of everything and kept the project moving very quickly. Because we worked quickly on our end, our project actually came in early. The PM enabled that.

Don't let your non-profit fall behind the technology curve. Whether you need to automate back-office tasks or build an impactful AI-powered program, we help you turn technology into social good.