Underserved
Commercial AI follows margin. Schools inherit consumer tools that were never designed for classrooms, accreditation, or student data.
Caelara helps universities, medical schools, and families design and deliver AI products — with an enterprise bar for security, privacy, compliance, reliability, and observability.
Current clients and the clouds we build on
We focus on education because we care about learning, and because the sector is under-invested. Profit is lower. The need is not.
Commercial AI follows margin. Schools inherit consumer tools that were never designed for classrooms, accreditation, or student data.
A leaked roster or a hallucinated clinical fact is not a product glitch. It is a trust failure for students, faculty, and families.
Institutions still need security, privacy, compliance, reliability, and observability. We bring that bar to education.
We help education organizations design and ship AI. Every engagement covers security, privacy, compliance, reliability, and observability — on AWS, Azure, or Google Cloud.
Map the workflow, data, risk, and decision rights before anyone trains a model.
Ship RAG, agents, evaluation, and model routing as products staff can use.
Build on AWS, Azure, and Google Cloud — including identity, networking, and secrets.
Security, monitoring, cost control, and evaluation after the first release.
Least privilege and controlled access from the first design conversation.
Student and family data stay minimized, isolated, and explicitly retained.
Built with FERPA, accessibility, and institutional review in mind.
Production systems with clear failure modes, fallbacks, and ownership.
Logs, traces, and evaluations so you can see what ran, why it failed, and what it cost.
A medical school, a research university, and homeschool families. The same engineering standard applies to each.
AI delivery for a medical school, including accessibility tooling and faculty discovery work.
AI consulting for a research university that needs production systems, not slideware.
Direct work with families who teach at home, starting from real constraints.
Tell us about the program, the constraint, and what done looks like for faculty, students, or families.