Globant Launches Glob.AI to Transform How Enterprises Buy and Deploy AI Services
Available online through a self-service model, Glob.AI gives organizations access to enterprise-grade, high-quality AI Pods (service units run by a set of AI agents and supervised by humans).
Globant, a global company focused on driving enterprise reinvention through AI, introduces Glob.AI, a new AI-native tech services model that fundamentally changes how enterprises access, purchase and deploy AI services. Available online through a self-service model, Glob.AI gives organizations access to enterprise-grade, high-quality AI Pods (service units run by a set of AI agents and supervised by humans). Companies are charged for what they produce -per output or per consumption- never per seat or per hour.
“For over 20 years, Globant has stayed ahead of every major technology shift, and AI is no different. Glob.AI is our next step: the one-stop shop where our AI Pods live, each specialized by task and industry. 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, representing the true state of the art of what AI can deliver today.”
– Martín Migoya, CEO and co-founder, Globant
Glob.AI brings together AI-native velocity with Globant’s 23 years of enterprise delivery baked into the governance layer. AI agents do the heavy lifting, with Globant’s experts supervising their outputs and guiding every step. Glob.AI works to standards–documented, tested, secure, built for enterprise scale. It’s the speed AI promises, with the rigor and quality that businesses need, by including:
- Well-defined, deterministic, and repeatable processes, supervised end to end by experts
- Optimized AI usage and transparent pricing: customers pay strictly for expert-validated outputs and/or real consumption — not hours, seats, AI hallucinations, retries, or wasted cycles.
- At least 30% more productive than the typical engineer-plus-AI approach
- Full AI sovereignty and governance: total flexibility over which models customers use and where they run them, with zero client data ever used to train external models.
- Token consumption secured in a client’s proprietary Token Vault, providing full traceability and compounding a client’s institutional knowledge over time.
“AI is not just making the same projects faster, it is making thousands of projects viable that never were before. Until today, enterprises could not buy technology services this way: instantly, transparently, paying only for results. That is the shift Glob.AI delivers, and the strong demand for AI Pods shows enterprises are ready for it.”
– Guibert Englebienne, co-founder, Globant
Organizations joining the waiting list at Glob.AI will gain early access to a comprehensive catalog of agentic workflows capable of building and deploying solutions for enterprise platforms and specialized industry use cases. The AI Pods in the offering also include partnerships with major organizations including Anthropic, AWS, Vercel, OpenAI, Adobe, Azure, Google Cloud Platform, SAP and Salesforce.
Traditional enterprise tech services require months of discovery, RFPs, and procurement cycles before the work begins. Glob.AI changes that model entirely. Users can log in and immediately start building enterprise grade software. Tech delivery becomes a live, continuous service rather than a fixed-term project — every improvement and release happening on the platform, fully visible to the client, in real time.
Globant released AI Pods in mid-2025, and they are already in use by several Fortune 500 organizations across media, entertainment, professional services, and finance, delivering early results that include:
- FIFA experiencing a 20% efficiency increase in throughput generation while maintaining or improving quality rates
- LALIGA deploying AI across key functions in three months
- YPF reducing contract timelines by up to 40%
- PharmaMar achieving 15x faster insights in oncology research
- A leading commercial bank completing a COBOL migration in 2 months versus 14 as projected with a traditional approach
