Education (K-12 & Higher Ed)
AI can take real work off administrative teams' plates: automated reporting, faster knowledge retrieval for staff, and systems that respect student data rules by design instead of by exception.
additional information
Built around your real risk
Student data is protected under FERPA, which governs what an AI system can touch and retain. That's why work touching student records triggers a compliance consultation before a final price is set, whether the engagement is a fast, fixed-scope configuration under Katalyst Launchpad™ or a fully custom build under Katalyst Custom™.
Jason at Kitely has helped us with work around several fund raisers and several on-going projects. His knowledge, adaptability, and suggestions for improving upon some of our processes has been invaluable. The quality of work has been impeccable, but most importantly Jason is just really easy to work with....couldn't recommend Kitely more highly.
Kevin Duda
Co-Founder, ChangeFire
Representative Work
Real results powered by KitelyTech
K-12 Public School District
A lesson called for a video that was not on the district's approved list, and instruction stopped. The unblock request went into the same queue as a multi-day infrastructure project, with no way to signal that a class was blocked right now. Requests sat for hours or days, and by then the teachable moment had passed.
A custom cloud platform that orchestrates the district's existing filtering and help desk systems rather than replacing them. Teachers request temporary, time-bound access scoped to the class period and limited by grade band, subject, and building based on verified role; grants expire on their own schedule rather than waiting for someone to revoke them. Every request is checked in real time against Board policy, student-safety rules, and FERPA, COPPA, and state student-data-privacy requirements before access is granted, and every grant is logged. An URGENT path captures location, device, and issue type and notifies the right technician with required acknowledgment. An AI knowledge assistant absorbs repetitive how-to questions, escalating what it cannot resolve. Time-to-resolution for classroom-blocking issues dropped from hours to minutes for the majority of urgent escalations, and routine help desk volume fell substantially.
U.S. Research University
CRM platform migration
The CRM had reached end of support and had to go, but it was not standalone: integrations ran through it and several dependent systems and databases read from it. Every one of those was a dependency that could break quietly during a migration and surface weeks later, in a report that had simply stopped matching.
A full migration from Dynamics CRM 8.2 with Scribe to Dynamics 365 with SSIS, replacing the dependent systems and databases and re-integrating every data source into the new platform. The integration layer moved with the CRM rather than after it, which is what kept the dependencies intact. The university moved off an unsupported platform without losing a data source on the way.
U.S. Research University
Legacy database remediation
The database generated duplicate records, and complex record requirements made them hard to catch: the same subscriber could exist under various names, addresses, or identifiers without any two rows matching exactly. Finance saw the consequences first, in subscriber counts that would not reconcile and invoicing that didn't match reality.
Custom logic and technical rules built into the database itself that uniquely identify potential duplicates rather than relying on exact matches, eliminate the existing ones, and stop new duplicates from being generated. Cleaning the records without fixing what generated them would have brought the problem back within a year, so both halves shipped together. Financial reporting reconciles because the records underneath it finally match.
Public University
AI-driven student retention analytics platform
At-risk students surfaced when an advisor happened to notice, through manual review across systems that didn't talk to each other. The intervention window had usually closed by then, most often for first-year undergraduates.
An AI-driven predictive analytics platform on a secure managed private cloud: automated ingestion across student systems, machine learning risk scoring on GPA trends, engagement, registration patterns, and financial indicators, and role-based advisor dashboards with intervention lists, all under FERPA-compliant access controls. Scoring is retrained against each new cohort, because a model tuned to last year's students quietly stops working. Advisors see risk while there is still time to act on it.
U.S. Research University
Academic citation tracking system
Citation counts are academic currency, and the university's data on them was unreliable enough to matter.
A custom citation tracking solution built on Azure API Management and online research repositories, keeping citation data accurate against the sources rather than reconciled after the fact.
Education Technology Company
Self-paced IT learning platform
IT skills training fails learners at both ends: beginners drown and experienced people wait. A single pace fits nobody.
An outcome-based training platform that is self-paced and adaptive, offering educational products, services, and professional development across every learning stage, so students at any level move at their own speed toward defined outcomes.
Medical Education Company
3D virtual anatomy learning platform
Anatomy is spatial, and it was being taught from flat pages. Students needed to move through the body, not memorize plates of it.
A 3D learning platform that lets students navigate every region and system of the body interactively, integrated with a biomedical visualization partner for tutorials and quizzes, with modular content and adaptive learning so the material meets the student where they are.
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The best work starts with a real conversation
Every engagement starts with a scoping conversation, not a guess. Tell us where you are, and we'll tell you exactly what it takes to get it right.
What to expect
Scoped by the senior engineers who'll actually do the work
A real conversation before any number gets attached
Priced for what the work requires, nothing padded in