These systems can't afford unplanned downtime, and the risk here isn't a named compliance regime; it's operational continuity and the proprietary process data that makes one manufacturer's workflow different from a competitor's. A single, well-defined AI tool on a platform already in place fits a fast, fixed-scope configuration under Katalyst Launchpad™. Integration spanning ERPs, machine data, and production systems calls for the fuller architecture and integration planning of Katalyst Custom™, KitelyTech's fully engineered build process.
The project brief was ambitious and we had received proposals ranging from two to five times our eventual budget from other vendors. This team came back with a proposal that was commercially realistic and technically credible — and then delivered against it. That alignment between proposal and outcome is not something I take for granted. I have been on the other side of it enough times to know it requires both honesty in the sales process and discipline in delivery. We experienced both.
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A custom fabrication manufacturer ran on handwritten orders. Several thousand dealers across 26 states, more than 300 contractor installation teams, and no shared system between them. When a dealer asked where an order stood, nobody at headquarters could say.
Site visits first, then a full scoping and engineering phase, then a custom ERP running the operation end to end: mapping and dispatch integrations across a 26-state install footprint, a 3D product configurator built for their catalog, process automation, and executive dashboards that drill from a number down to the order behind it. Workflow efficiency improved by over 225%.
Paperless vehicle QA platform
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Vehicle testing ran on physical checklists and one-off spreadsheets with no central repository. A test that raised a question could not be compared against the fifty that were similar, backlogged paperwork sat between the work and any analysis of it, and every transcription step was a chance to introduce an error nobody would catch.
A digital QA platform covering the full test cycle: vehicle information, pre-test inspection and prep, real-time status updates, post-test deinstallation and release, and end-of-shift processes. Raw data is captured as the work happens rather than transcribed afterward, which clears the paperwork backlog, removes the errors that come with manual entry, and makes automated insight possible through data science and visualization. Test data became a searchable record instead of a stack of paper.
Motor output optimization platform
A leading maker of electronic speed controllers, battery eliminator circuits, and motors for land, air, and sea RC vehicles was losing engineering time to hardware service issues, and the worst of them was bricking: a failed configuration could turn a customer's motor into a paperweight.
One platform to connect and configure the full product line, running on iOS, Android, macOS, and PC, built to eliminate bricking and the service costs behind it. Consistency became a property of the platform, and the engineering team got its time back for new products.
AI-enhanced manufacturing execution system
Aerospace manufacturing produces machine data constantly, and the existing execution system recorded it without learning from it.
An AI-enhanced MES built on the manufacturer's existing infrastructure with secure data pipelines and an AI layer on top: real-time machine data feeds predictive models for maintenance and waste optimization, so the system that runs the floor also improves it.
Centralized request and incident resolution portal
HelpDesk, infrastructure, environment, and finance and HR requests each moved through their own channel at a major auto manufacturer. Responses ran late, follow-up often never came, and no measurement existed to manage service quality across any of it.
A centralized custom portal covering HelpDesk, Infrastructure, Environment, and Finance & HR: one front door for every request, a tracked path behind it, and the visibility to measure response times and service quality instead of guessing at them.
AI knowledge & research assistant
Support engineers and business development teams serving global manufacturers spent their hours on research: technical documentation in one place, internal knowledge in another, prospect data somewhere else, all of it partially current.
A retrieval-augmented AI assistant that continuously ingests technical documentation, best practices, historical projects, and market signals, returning instant, cited, context-aware answers and prospect profiles, with escalation flags and strict data-security and brand-compliance controls. It updates incrementally as documentation changes, so answers reflect current material rather than a snapshot.
