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.


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™.
In terms of project management, I thought they did a fantastic job. There were several times when we reached out with a wide range of requests or questions, and they got back to us with answers pretty quickly. The whole speed of the project was good.
Very high quality.
They didn’t bill me enough for the quality of their work.
They were exceptional. Their team communicated well, understood what we wanted, and listened attentively. More importantly, they met all deadlines and stayed within budget — it was money well spent.
Their experience stands out to us.
Our project manager did an unbelievable job of partnering with us and making sure that Kitely met our unique needs every step of the way. Our experience could not have been easier and we could not be happier with our new app!!
Overall, the communication is what really impressed me. We were able to work with them whenever we needed, and they answered all of our calls, emails, and texts pretty much right away. That was extremely helpful to us.
My team and I had an amazing experience with KitelyTech! They are a first class firm that in addition to their expertise, is a pleasure to work with.
I was impressed with their ability to listen and interpret the highly technical nature of our device.
KitelyTech was able to go above and beyond. I wanted changes to the product in the middle of development, which their team made while staying within my budget.

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.
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.

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.

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.

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.

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.

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.

