River City Research helps mission-driven organizations modernize their technology in ways that support day-to-day work and long-term goals. We design and implement secure, scalable systems that replace outdated tools and make it easier to operate reliably, connect systems, and support clear insights and informed decisions. We’ll work with you to identify the right approach and roadmap before any technical work begins.
Build for scale. Engineer for impact.
Full-Stack Engineering & Development
We provide full-stack engineering to help organizations move beyond maintaining outdated systems and toward technology that is reliable, secure, and built to grow. A core part of this work is designing data flows and system integrations that reduce manual effort and keep information moving accurately across tools. Whether you are building shared data infrastructure or advanced analytics tools, we design architectures that support long-term stability, integration, and responsible use of data.
Purpose-built tools for community engagement.
Custom Web & Mobile Apps
When off-the-shelf software doesn’t fit your service model, we work with you to design and build custom solutions. We develop web and mobile applications that support intake, service coordination, and communication across teams. By prioritizing accessibility and user-centered design, we create tools that are intuitive, reliable, and suited to both office and field-based work.
Save time and scale your impact with smart tools.
AI Automation & Support
Use artificial intelligence in ways that are practical, responsible, and aligned with your mission. We help organizations assess where AI can realistically support their work, then design and implement tools that reduce manual effort without compromising data privacy or trust. From drafting routine reports to organizing and summarizing data, we support the safe and ethical integration of AI tools so teams can focus more time on high-value work.
How We Support You
Full-Stack Dev
Automated Workflows: Building reliable integrations that move, validate, and update data securely across systems
Centralized Data Marketplaces: Building shared environments that bring data together in consistent, usable ways to support analysis and insight
Resilient Security Architectures: Embedding strong security and privacy-by-design practices throughout the technology stack to protect sensitive data
Web-Based Apps
Custom Development: Building tailored applications to address specific operational challenges and workflows
Mobile-First Design: Ensuring tools work smoothly across devices so staff and community members have a consistent experience
Connected Systems: Linking custom applications with your existing tools and data infrastructure
AI Integration
AI Readiness Assessment: Reviewing workflows and data practices to identify where AI-driven automation can meaningfully save staff time
Custom AI Support: Setting up practical AI tools and workflows that help your team get work done without over-promising outcomes
Ethical AI Governance: Establishing policies and safeguards to ensure AI use is transparent, secure, and appropriate for the social sector