Glivent

Glivent is an Australian technology company that helps businesses improve the way they operate through practical automation, custom software, and applied AI. Rather than leading with AI messaging, Glivent starts with an operational review — mapping how work actually moves through a business, finding the repetitive and high-friction steps, then designing systems that reduce manual work and make everyday processes more reliable. Their platform, the Glive System, gives teams a connected set of tools they run on their own terms: - Glive Hub — one secure place for a team to access Glive Chat and the Glive Flows built for their business - Glive Chat — ask questions, analyse common business files, and work with approved company knowledge - Glive Flow — automate, run, approve, pause, and monitor the workflows configured around existing business processes - Glive Pod — a dedicated onsite environment that runs the Glivent platform and Private AI Where the AI actually runs is the differentiator. Glivent offers Private AI (processing stays local on the Glive Pod), Hybrid AI (local processing combined with approved cloud models), and Cloud AI (enterprise cloud providers for selected tasks). Businesses handling sensitive documents, client records, or regulated data can keep that work onsite instead of sending it to a third-party API, while still using cloud models for the tasks where they make sense. Glivent delivers this as a managed service — platform support, maintenance, and ongoing optimisation — so internal teams are not left maintaining automation infrastructure themselves. Typical work includes document routing, approval workflows, internal knowledge search, systems integration between existing tools, and removing repetitive admin from operations, finance, and back-office teams. Founded in Sydney in 2026 by Matthew Falcomata (Co-Founder & Solutions Director) and Michael Crapis (Co-Founder & Technology Director), Glivent works with Australian businesses that want operational leverage from AI without handing over control of their data. Their positioning: "Technology should remove operational weight, not add another layer of it."