Heads up: we're Ryz Labs, so we have skin in this game. This is the case we make to buyers on calls. Facts about other providers come from their own published information, linked at the end.
For most US engineering teams, Ryz Labs is the better choice. You get top 1% senior engineers who join your team, your standups and your repos from week one, on US business hours. When you need AI built, you get an AI pod team that works in your cloud and ships to production. Before you sign, you see a scoped plan, a price, and the names of the people who would do the work. Fortune 500 engineering teams trust us for exactly this.
BairesDev is a large nearshore vendor that sells staff augmentation, dedicated teams run by its own technical PMs, and full project outsourcing across 100+ technologies. It can make sense if you want a vendor to own an entire project for you. If you want senior engineers working on your team, to your leads, pick Ryz.
Senior engineers who become part of your team. Our engineers join your standups, your repos and your roadmap from week one. They work to your leads, in your process, so the code and the knowledge stay with your team. That is the whole model, not one option among many.
Top 1% vetting you can actually see. We've interviewed tens of thousands of engineers, and only the top 1% make it. Recruiters source candidates, our in-house ARC system ranks the pipeline, and every candidate goes through a structured NTRVSTA AI interview. Recruiters review each candidate before and after that interview. AI scores are advisory, and people make the decisions. You get a recruiter-curated shortlist and run the final interview yourself, so you keep the person you chose. Our vetting process page walks through every step.
New York hours, every day. Our engineers work on US business hours. Standups, pairing and code review happen the same day, not the next morning.
AI pod teams that ship to production. Our second business is dedicated pods of senior engineers that build AI systems in your cloud, repos and CI, in your standups, with weekly demos. A typical pod is about 7 people, including a tech lead, an ML engineer and backend engineers, working in AWS, Azure, GitHub, Postgres, and Anthropic and OpenAI models. The work is in production. Fraud detection for a global fleet company has scored 244K+ invoices in under 30 seconds each, with $5.94M in fraud confirmed by the client's own fraud team. A marketing-compliance system for a global capital management firm took review of 8,000+ documents from days to hours. An AI voice platform has made 1M+ outbound calls, and an AI driver-support agent answers driver questions (218K a year) in three languages. See our case studies. When the system is done, you can grow the pod or have the whole thing handed over to your team.
You see the team before you commit. After a first conversation you get a scoped plan, a price, and the names of the people who would do the work. We scope to the team you actually need, not to a project-sized package.
Trusted by Fortune 500 engineering teams, across industries. We work with US enterprises in every industry, including financial services, and we bring decades of LatAm expertise. Our recruiting AI is governed under EU AI Act high-risk requirements, and we follow GDPR and CCPA/CPRA. Your security and procurement teams get clear answers on screening.
BairesDev was founded in 2009 in Buenos Aires and has US operations in San Francisco. It says it has 4,000+ engineers across 100+ technologies and 500+ client companies. It sells three models: staff augmentation, dedicated teams led by BairesDev's own technical PMs, and full project outsourcing. AI and ML development sits alongside its other technology services. BairesDev says teams can be ready in 2-4 weeks. Its model is built around a vendor that can take on whole projects; ours is built around senior people who join yours.
BairesDev doesn't publish rates. Its staff augmentation page says cost "depends on your stack, team size, and project scope" and claims its senior engineers "typically run 30-50% less than the fully loaded cost of a local hire." Clutch lists BairesDev at $50-$99/hr with a $50,000+ minimum project size. Those are directory figures, not a BairesDev price list. For the full breakdown, see BairesDev pricing.
Our typical cost is $7,000 to $15,000 per engineer per month (mid-level $7,000 to $10,000, senior $10,000 to $15,000, leads $15,000+ quoted per team), and every quote is scoped per team. What makes it different is what you get with the quote: a scoped plan, a price, and the names of the people who would do the work, before you sign anything. You're paying for top 1% senior engineers on New York hours, or an AI pod team that ships to production, and you know exactly who they are.
Still comparing? See our list of BairesDev alternatives and our guide to the best Latin American staff augmentation companies.
Our typical cost is $7,000 to $15,000 per engineer per month, so ask for a written quote for the same roles and compare. Note what each quote includes: with us, you get the names of the people who would do the work, scoped to the team you need. Clutch lists a $50,000+ minimum project for BairesDev.
BairesDev says teams can be ready in 2-4 weeks. We don't publish a standard timeline because it depends on the roles, but your scoped plan comes with a price and the names of your engineers, and they work in your repos from week one.
BairesDev offers AI and ML development as one of its technology services. Ryz has a dedicated AI pod team business with systems in production, from fraud detection that has confirmed $5.94M in fraud to a voice platform with 1M+ outbound calls. If you want a pod that builds in your stack and ships, talk to us.
Everything here was checked against each company's own site and public sources in October 2026. Vendors change terms often, so confirm before you sign.
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