Companies working with Moonwater can expect hybrid architectures that run roughly 5–10x cheaper per request than routing everything through a frontier LLM. We strive to achieve more accurate results on numeric and structured work because we let classical ML and sound logic handle what they do best while emerging AI technologies are reserved for genuinely unstructured input. At scale, that kind of efficiency can make or break a business. Beyond cost, we build faster, more reliable processing tools to handle high-volume workflows, and systems that grow more capable the longer they run.
David Levy · Head of Tech, Moonwater
A note — Due to active NDAs, clients are described by sector rather than name.
Real Estate
A real estate technology platform
Built an engine that analyzes complex real estate contracts against hundreds of regulatory rules, catching errors and omissions that cost brokerages millions in E&O claims. Extraction, validation, and audit trails at a level of accuracy manual review can't match.
Healthcare
A medical imaging company in a regulated clinical environment
Built full-stack AI image analysis systems in a regulated, high-stakes medical environment where accuracy is non-negotiable and data security requirements meet HIPAA and the strictest regulatory standards.
Entertainment
A major entertainment conglomerate
Reduced multi-million-dollar marketing tech spend by half while increasing operational efficiency through ML- and AI-driven audience targeting and workflow automation.
Media / Talent
A global media brand and a creative-industry talent platform
Built bespoke RAG-powered talent-project matching for the creative industry. The RAG systems we've built process thousands of creator profiles against project requirements, surfacing talent fits that human reviewers confirmed were more accurate and more comprehensive than manual matching.
Public Relations
A boutique PR firm specializing in earned media
Built an automated outreach engine that matches client pitches to journalists actively covering related topics, cutting the man-hours required to identify relevant leads and improving response rates by reaching reporters whose recent work actually aligned with the story.
Television
A television production company
The full scope of this engagement is held under NDA. We're proud of the work; that's all we're able to say.
We don't experiment with AI. We deploy it in environments where failure is not an option.