Globant is one of the largest tech services firms from Latin America. If you are comparing it with us, you were quoted an enterprise program and want a team sized for a product.
This page says where Globant is the better choice and where we are. Every claim about Globant links to its own filings and announcements.
Globant sells AI Pods, subscription units of agents metered in tokens, while our Pod is a team of two senior Product Engineers plus agents on your backlog.
Side by side
| ArkusNexus | Globant | |
|---|---|---|
| What you get | A senior team that owns delivery from spec to release. It runs as your dedicated team or takes a whole project, and it plugs into the backlog you already have. | A Studio-staffed team billed on time and materials, a fixed-price project, or a subscription AI Pod of agents supervised by its experts. [1][2][4] |
| Who reviews what the AI wrote | A Product Engineer reviews every slice before it lands. Changes touching auth, permissions or data need a second Product Engineer’s sign-off before release. | In its AI Pods, agents do the work and Globant experts supervise the outputs. Its documents do not say who those experts are or how a review gate works. [2][3] |
| How AI is used in delivery | One agentic workflow across spec, plan, implement, review and deploy. Agents do the volume work. Nothing advances past a gate without a named human signing it. | Globant Enterprise AI, its agent platform, powers the AI Pods and is being built into the software development lifecycle across its Studios. [1][2] |
| Time to first engineer | A senior Pod on your backlog in one week. | Not stated in its filings or announcements. [1][2][3] |
| Pricing model | A fixed monthly price per Pod that rises by a flat amount for each engineer you add, quoted on a call. Never by the hour, no timesheets. | Mostly hourly time and materials, per its filing. AI Pods are a monthly subscription metered in tokens, and Glob.AI charges per output, never per hour. [1][2][3] |
| Smallest team you can start with | Two Product Engineers + agents. The agents are part of the team, not billed as people. | Not stated. Its filing describes Studio teams and subscription AI Pods, not a minimum size. [1][2] |
| Time-zone overlap | Headquartered in San Diego, with engineers in Tijuana, Colima and Medellín. Many are on Pacific time, all are on your working day. | Four largest delivery centers in Colombia, Argentina, India and Mexico, with offices in 31 countries. No US-hours commitment is stated. [1] |
| Scale | 250+ vetted engineers. 23+ years. | 27,411 employees in more than 30 countries, per its second-quarter 2026 results. [5] |
| Where each is the better fit | You need a small senior team that owns what ships, with AI agents inside a reviewed workflow. | You are an enterprise buying a multi-Studio program, or you want AI output priced by the token or the deliverable. |
Numbers in brackets point to the Globant filings and announcements each claim was read from.
Choose Globant if
- You are buying an enterprise program across several platforms. Its Enterprise Studio covers SAP, ServiceNow, Salesforce, Oracle, AWS, Adobe, Google Cloud and Microsoft. [1]
- You want AI work priced by output or consumption rather than by a team, through its Glob.AI platform and AI Pods. [2][3]
- You want marketing, advertising and product engineering from one vendor. Its GUT Network runs strategy, advertising, media and content alongside the engineering Studios. [1]
Choose ArkusNexus if
- You want a small senior team on your real backlog, not a program sized for a Fortune 500 budget.
- You want AI agents doing the volume work and a named human accountable at every gate, including a second engineer on anything security-relevant.
- You want a fixed monthly price you can model per team size, with no hourly exposure and no token meter to forecast.
- You want a dedicated team or a whole project owned end to end by senior engineers, without a management layer between you and the people building.
- You have an in-house team to uplevel or an offshore team to replace, and two senior engineers is the right size to start.
See how a Pod would work your backlog
Bring the backlog you have today. A Product Engineer walks you through who would work on it and how the gates run.
Sources
- Globant, Form 20-F for fiscal year 2025 (SEC)
- Globant, AI Pods announcement, June 2025
- Globant, Glob.AI announcement, August 2026
- Globant, G-Cloud 14 pricing document, 2024
- Globant, second-quarter 2026 results
Globant pages read on October 11, 2026. Globant is a trademark of its owner and is named here for comparison only.
