New enterprise operating system provides a centralized control plane across 320+ models, multi-agent frameworks, and corporate data repositories.
OS, an operating system for the enterprise that acts as the main control and governance layer of the company’s platform, the Glob.AI platform, is the first enterprise-grade operating system for generative AI. It allows large enterprises to coordinate, monitor and scale generative and agentic artificial intelligence within distributed units. Business.
Despite the rapid acceleration of enterprise AI adoption, operational bottlenecks for global organizations exist: multiple networked models, unchecked shadow AI, omnipresent vendor costs and siloed institutional data. Glob.AI OS removes these frictions by injecting a single, accountable layer that brings the power of machine intelligence into enterprise compliance and measurable business results.
“We are making it seamless for global leaders to take the best out of AI leveraging Globant’s 23+ years of experience working with top companies in almost every industry in a completely reshuffled engagement model where they only pay for outcomes,” said Sarab Narang, CEO of Glob.AI. “Glob.AI OS lets a large organization put AI in the hands of many teams and many agents, while keeping one clear answer to who used it, on what data, at what cost, and under which policy.”
Also Read: Bridging the Autonomous Gap: Trust3 AI Brings Enterprise Governance to Claude Code
A Governed Infrastructure for Scaled Machine Intelligence
The Glob.AI OS is the foundational operational infrastructure that powers all enterprise AI.
The architecture is purpose-built for public cloud, private cloud, or SaaS deployment, and runs on four different hubs:
- Intelligence Hub: Combines in excess of 320 individual providers’ proprietary and open-source models from in excess of 25 founders offers for each and every request, according to task complexity, speed demanded, and compute economics, to limit its token uses.
- Corporate Hub: Anchors AI to internal business applications, with reference directories, and business knowledge repositories – saving the friction of having to keep recreating context as you go between initiatives.
- Agentic Hub: Provides a testbed and execution environment in which autonomous agents are extensively subjected to tests, assessed and supervised according to contemporaneous real-time operational guidelines, prior to their on-line deployment.
- Token Vault: The financial and security control plane, it manages role-based permissions, enterprise budgets, cost-attribution tracking, and an immutable audit log for all corporate AI calls.
ENGAGE WITH END USERS
Glob.AI Apps empowers teams to easily access enterprise data, automate intricate processes, write code using dedicated coding agents and run the company’s own Globant AI Pods. Client data stays in the client’s control, remains fully segregated and is never used to train third-party foundation models.
Going Beyond Headcount: Outcomes-Oriented AI Pods
Glob.AI OS fuels Globant’s distinctive delivery units, AI Pods, which combine human governance with autonomous agents and Forward Deployed Engineers. Instead of hour-based or seat-based billing, the platform links commercial transactions to consumption-based metrics and validated deliveries.
“AI has taken the world by storm, but having access to technology is not enough. Enterprises need a new way to put it to work, with more transparency, control and speed. Glob.AI brings intelligence, enterprise context and the agentic layer together so organizations can access AI Native Services and ship working, production-ready outcomes through AI Pods,” said Martín Migoya, Co-Founder and CEO of Globant. “We are extremely proud of what we are bringing to the world. Our deep expertise and experience in delivering business solutions for the best companies in the world has prepared us for this exact moment. We’re not just reinventing services; we have created a new category of delivering business outcomes.”
Documented Enterprise Value and Operational Impact
Early deployments across global leaders demonstrate significant operational accelerations:
- FIFA:Improved operational throughput efficiency by 20% while maintaining base line quality.
- YPF: Reduced end-to-end cycles for contract administration by up to 40%.
- Pharma Mar: Up to 15× faster research intelligence discovery cycles in oncology projects.
- Completed the migration of an enterprise COBOL legacy system in two months, compared to a 14-month traditional estimate.
Within larger legacy modernization and discovery programs, Globant‘s AI-native service delivery has resulted in cycles that are up to 7× faster to run and products that are 3× more quickly discovered.
