KMS Technology acquires AddeptoRead the Full Press Release

Automating Pre-Sales Workflows with Intelligent AI Agents

Addepto (a KMS Technology company) partnered with Meeting Tomorrow, a leading event production company, to improve operational efficiency across pre-sales and proposal management workflows. Growing demand, repetitive manual tasks, and fragmented information processes limited the team’s ability to scale operations effectively.

Implementing an MLOps Platform for Western Governors University (WGU)

Addepto (a KMS Technology company) partnered with Western Governors University (WGU) to modernize machine learning deployment workflows and improve how AI models move from experimentation into production. As the university expanded its AI initiatives, they were facing increasing challenges with operationalization.

Modernizing Legacy Aviation Systems with an AI-Powered Code Assistant

Addepto (a KMS Technology company) partnered with a leading company in aviation technology to improve how development teams interact with complex legacy systems and proprietary codebases. The company develops and maintains highly specialized, long-lived aviation systems built partly on a proprietary System Definition Language (SDL), making knowledge transfer, maintenance, and system modernization challenging.

Building an AI-Driven Document Generator on AWS for Aviation Workflow

Addepto (a KMS Technology company) partnered with a U.S.-based global private aviation company to modernize document generation workflows and streamline trip planning operations. As operational demand increased, the company was facing growing inefficiencies caused by manual Aviation Sourcing Request (ASR) preparation, fragmented workflows, and increasing administrative overhead that limited the scalability of operational teams.

Engineering a Real-Time Baggage Tracking & Prediction Platform

Addepto (a KMS Technology company) partnered with a leading aviation technology organization to modernize baggage operations and improve visibility across airport environments. The organization was facing growing challenges in tracking baggage flows in real time, impacting both operational efficiency and passenger experience.

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