We'll say this up front: Ryz Labs wrote this page, and we're one of the companies on it. When another option is the better call, we say so plainly.
Nearshore solves the time-zone problem. It does not, by itself, solve the AI problem. The deciding question for a US enterprise: do you need a dedicated team that builds an AI system, or more engineering capacity that your own leads will direct?
For AI work, the review loop is everything. Prompts, evaluations and data fixes change daily, and your domain experts need to look at results as they happen. A team on your hours turns a question into an answer the same afternoon. A team twelve hours away turns it into tomorrow.
But a nearshore vendor that mainly sells general software capacity is not the same as a team that builds and owns an AI system. Ask which one you are buying.
Finally, check where the engineers actually sit. Some firms with a Latin American brand deliver much of their work from other regions, and some global firms have a real Latin American bench. The proposal should name cities and hours, not just a region.
We're trusted by Fortune 500 engineering teams, and our AI pod teams are senior Latin American engineers who work New York hours. A typical pod is about seven people, including a tech lead, an ML engineer and backend engineers, working as one team in your time zone, in your cloud and repos, at your standups, with weekly demos. Our engineers are hand-vetted: only the top 1% make it, out of tens of thousands interviewed. You can read how on our vetting process page.
Our pods have shipped production systems, including a fraud detection system for a global fleet company ($5.94M in confirmed fraud, 244K+ invoices scored, under 30 seconds each) and a marketing-compliance system for a global capital management firm (8,000+ documents, days to hours). We also bring decades of Latin American expertise. Details are on our case studies page.
Where we're not the right fit: if you need follow-the-sun coverage or engineers in Europe or Asia time zones, a global network like Globant or EPAM fits better. If you want a management-consulting engagement or a proprietary AI platform, look at big consultancies and platform vendors. If you want a self-serve marketplace or hourly freelancers, a platform suits you better. And we don't publish prices before a conversation.
Globant was founded in Buenos Aires in 2003 and is now NYSE-listed with about 27,000 technology professionals. In Q4 2025, 53.8% of revenue came from North America. Its AI Pods, launched in 2025, are token-metered subscriptions of agents supervised by Globant experts, now sold through Glob.AI.
Where it beats us: locations across more regions and public-company disclosure. The catch: AI Pods pay for supervised agent output, not a dedicated named team in your systems, and they are a small, young part of the business. More in Ryz Labs vs Globant.
BairesDev says it has 4,000+ Latin American engineers working client business hours and can start teams in 2-4 weeks. It offers staff augmentation, dedicated teams (pods with BairesDev technical PMs) and outsourced projects, including agentic AI and LLM work. It holds 4.9/5 across 63 Clutch reviews.
Where it beats us: speed of team start-up and a long public review record. The catch: AI is one of 100+ technologies it covers, not a dedicated AI-to-production practice, and some Clutch reviewers mention rate increases and early churn.
EPAM is not a nearshore specialist, but its 10-K shows about 2,950 people in Mexico inside a firm where financial services is the largest vertical. It brings DIAL and AI/Run accelerators.
Where it beats us: FS depth and multi-year, multi-workstream programs. The catch: most delivery sits outside US time zones, so overlap depends on which team you get.
Turing says it has a network of 4M+ engineers and experts, including Latin American engineers, and sells pods and forward-deployed engineers for enterprise AI builds. It is less nearshore-specific than the others here.
Where it beats us: depth in post-training and evaluation from its frontier-lab business. The catch: time-zone overlap depends on who gets staffed.
If you want a nearshore team that builds and owns an AI system: Ryz Labs. Senior pods on New York hours work inside your cloud and repos, demo every week, and can hand the system over when it's done. Our teams have shipped fraud and compliance systems in production for global clients.
If you need many workstreams staffed across regions at once: Globant.
If you need Latin American headcount quickly and will lead the AI design yourself: BairesDev.
If you are a large financial institution already running a global program: EPAM.
Usually, though vendors rarely publish rates. BairesDev says its total cost runs about 30-50% below US hiring. Get a written quote from each.
Most of Latin America is within a few hours of Eastern time. Our engineers work within ±1h of US time zones.
Yes, if you grant access. Our pods work in your repos, CI and cloud from the start.
If you have strong AI leads and need hands, maybe. See dedicated AI teams vs staff augmentation and our Latin American staff augmentation guide.
We checked every provider on this page in October 2026. If something has changed, tell us and we'll update it.