Globant has launched its new Glob.AI tech services model to change how enterprises deploy artificial intelligence.
The company introduced the platform in Riyadh, Saudi Arabia, offering a self-service system that allows organizations to access enterprise-grade AI services. These services are delivered through specialized units called AI Pods, which are run by AI agents and supervised by human experts.
Deploying Glob.AI tech services
The launch of Glob.AI tech services introduces a self-service model where companies pay strictly for expert-validated outputs or actual consumption. This pricing structure replaces traditional models that charge per hour or per seat. The platform aims to eliminate the costs associated with wasted tokens and unstructured manual supervision.
According to the company, this approach is at least 30% more productive than the typical engineer-plus-AI method. Users can log in and immediately start building software, turning technology delivery into a continuous service. This model bypasses traditional procurement cycles that often require months of discovery and requests for proposals.
“Traditional AI adoption drives token consumption far beyond what efficient output requires, and the real cost is the wasted tokens plus the unstructured, manual supervision of AI. AI Pods introduce a smarter model, running the right AI through parallel agents, loops, workflows, and deterministic processes.”
Martín Migoya, CEO and co-founder of Globant
Operational Efficiency and Case Studies
The company released its AI Pods in mid-2025, and several Fortune 500 organizations have already adopted them. In the sports sector, FIFA experienced a 20% efficiency increase in throughput generation while maintaining quality rates. Meanwhile, LALIGA deployed AI across key functions within a three-month period.
In other sectors, the energy company YPF reduced its contract timelines by up to 40%. The pharmaceutical firm PharmaMar achieved 15x faster insights in oncology research. Additionally, a leading commercial bank completed a COBOL migration in two months, compared to the 14 months projected under traditional methods.
Data Sovereignty and Token Security
The platform provides clients with full AI sovereignty and governance, allowing them to choose which models to use and where to run them. No client data is used to train external models. This ensures high standards of data protection, which is critical for businesses operating in the cybersecurity sector.
Token consumption is secured within a proprietary Token Vault owned by the client. This system provides full traceability of AI usage and helps build institutional knowledge over time. The governance layer incorporates Globant’s 23 years of enterprise delivery experience to maintain security and compliance.
Future Outlook for Enterprise AI
As organizations adopt Glob.AI tech services, the company plans to expand its catalog of agentic workflows. The platform currently features integrations and partnerships with major technology providers. These partners include Anthropic, AWS, Vercel, OpenAI, Adobe, Azure, Google Cloud Platform, SAP, and Salesforce.
The shift toward outcome-based pricing is expected to make thousands of previously unviable projects possible for enterprises. By offering instant deployment and transparent pricing, the platform aims to accelerate artificial intelligence adoption across various industries. This development supports the growing digital economy by simplifying software development.
