Globant launches Glob.AI OS to govern enterprise AI

Globant has expanded its Glob.AI platform with Glob.AI OS, a product designed to govern AI use across large organisations.

The software is intended to act as a single layer for managing AI activity, costs, identity and oversight across different models, tools and teams. It forms part of Globant's broader AI services approach, which combines software with human-supervised delivery teams known as AI Pods.

Glob.AI OS connects to more than 320 open and closed AI models from more than 25 providers, including OpenAI, Anthropic and Google. The system can direct tasks to different models while giving companies visibility into spending, usage and policy controls.

The product is built around four parts: an Intelligence Hub for model access and routing, a Corporate Hub for linking company data and systems, an Agentic Hub for testing and running AI agents, and a Token Vault for budgets, permissions and audit records.

It can be deployed as software as a service or within a client's own cloud environment. Access is available through chat, web, desktop and command-line interfaces, as well as through headless deployment using MCP.

Glob.AI OS is intended to bring governed AI into day-to-day work rather than limit it to specialist teams. Through what Globant calls Glob.AI Apps, employees can use AI tools in existing workflows, ask questions, delegate tasks, work with coding agents and use prebuilt agentic systems from Globant and partners.

Services model

The launch also highlights a shift in how Globant wants to sell AI-related work to large clients. Rather than charging by hours worked or software seats, customers can pay for outcomes or consumption through its AI-Native Services model.

That model combines AI Pods, which Globant describes as human-supervised delivery units, with the new operating layer. The pods bring together documented workflows, AI agents and oversight from specialists, including Forward Deployed Engineers, while the operating system provides governance and shared access to data, controls and institutional knowledge.

Globant argues that many companies have already adopted AI tools in fragmented ways, with multiple teams using different models and systems tied to sensitive data. In that environment, the challenge is less about gaining access to AI and more about controlling its use at scale and tying it to production work.

"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, Chief Executive Officer 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," said Narang.

Client results

Globant says the AI Pods element of the platform is already being used by several Fortune 500 companies across media, entertainment, professional services and finance. It cited a range of customer results tied to those engagements.

According to the company, FIFA recorded a 20% increase in throughput efficiency while maintaining or improving quality rates. YPF reduced contract timelines by up to 40%, while PharmaMar gained insights 15 times faster in oncology research.

Globant also said a commercial bank completed a COBOL migration in two months, compared with a projected 14 months under a more traditional model. More broadly, the company said AI-Native Services engagements have delivered up to seven times faster legacy modernisation and three times faster product discovery.

The launch comes as IT services groups and software providers compete to define how large companies adopt generative AI beyond pilot projects. For many corporate buyers, a central issue is how to manage multiple AI models and agents while maintaining oversight of costs, data access and accountability.

Globant, which operates in more than 30 countries, has been positioning itself around AI-led consulting and delivery as demand shifts from experimental work to operational deployment. The company says client data remains under the customer's control and is not used to train external models.

"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 Chief Executive Officer 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," said Migoya.