Vibecodingimprovised
- Prompt by prompt, hoping it works
- A different result every run
- Standards left to chance
- You inherit the risk, the fixes, the rework
- Hidden cost in human hours and wasted tokens
- A prototype you still have to rebuild
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AI Pods do the heavy lifting, supervised by Globant experts — documented, tested, built to enterprise standards.You pay for the result. Not by the hour, not per seat.
Have a brief, RFP or specs, drop them in
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Clients using AI Pods
One subscription. Three tiers. Designed to grow with your needs.
Current SaaS CRM is over-featured and costly, only contact management.
Transitioning to a high-velocity, cost-effective and custom CRM architecture powered by autonomous AI capabilities.
Anyone can get a demo out of an AI. Turning it into a secure, documented, on-standard production system — every time — is engineering.
The real cost is the tokens plusthe people fighting to make the output production-ready. Nobody puts that second cost on the invoice — and it's usually the bigger one.
Reaching production is more than the magic of AI — it takes rigor. That's what's inside every Glob.AI delivery.
Every result adheres to your standards — brand, visual, regulatory, security and coding — because the process is written in code, not improvised.
Delivered with documentation that follows the highest software-engineering standards, so your team can own, audit and extend it.
Our processes minimize time to market and token consumption while maximizing robustness — so the outcome is genuinely enterprise grade.
You describe the outcome. A specialized AI team, supervised by Globant experts, takes ownership of delivering it — defined scope, clear token price, built to work.
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Master your AI lifecycle: A purpose-built platform that turns raw intelligence into business outputs.
Access to a broad ecosystem of foundation and specialized models enables agents to apply the best intelligence for each task.
Create and coordinate agents and agentic workflows that operate across systems and teams, translating AI capabilities into real operational outcomes.
Connect agents to corporate data, systems, and industry ontologies for secure, context-aware AI solutions.
Designed for the enterprise from the ground up. Guardrails, observability, and output validation — all included, all enforced.
Policy-based controls, role permissions, and approval flows.
Full visibility with real-time tracing and alerts.
Every output checked against quality and compliance rules.
SOC 2 & GDPR-ready. Complete audit trails.
AI Pods are service units where AI agents execute the work, experts supervise, and clients get supervised output.