We'll say this up front: we're Ryz Labs, and FullStack Labs (now branded FullStack) is one of our closest competitors. We think we're the better pick for most US engineering teams, and we're specific about where FullStack fits. Facts about FullStack come from its own site.
For most US engineering teams, Ryz Labs is the better choice. Every engineer is a top 1% senior engineer in Latin America who works on your team on US business hours. When you need AI built, an AI pod team of senior engineers builds it in your cloud and ships to production, with results you can check in our case studies. You see a plan, a price and the names of the people before you start. Fortune 500 engineering teams trust us for this.
FullStack is a US-led nearshore engineering firm with delivery leadership in Colombia and a network of 1,100+ vetted engineers. It sells pre-built engineering pods, forward deployed engineers, AI and agentic builds, and talent through its Connect platform, with a two-week trial. It fits if you want to watch recorded coding assessments before you hire. If you want top 1% senior engineers on New York hours and AI pods that ship, pick Ryz.
Top 1% vetting. FullStack's network is 1,100+ vetted engineers, junior to lead. We've interviewed tens of thousands of engineers and only the top 1% make it. Recruiters source, our in-house ARC system ranks the pipeline, every candidate takes a structured NTRVSTA AI interview, and recruiters review each one before and after. AI scores are advisory; people decide. Our engineers are mostly mid-level to senior, comparable to Amazon L5 and L6. Read the vetting process.
New York hours as the default. FullStack describes a range: within three hours of every US time zone. Ours is a fixed commitment. Our engineers work on US business hours, including New York hours, so standups, pairing and code review fall inside your day.
AI pods that work in your stack. Both of us sell pods and forward deployed engineers, so look at where the work happens. Our pods work in your AWS or Azure account, your GitHub, your CI and your standups, with weekly demos. The system is yours from the first commit. When it's done, you grow the pod or take the whole system over. Read about forward deployed engineers.
Results you can check. Our pods have shipped fraud detection for a global fleet company that has confirmed $5.94M in fraud, scoring each invoice in under 30 seconds. A marketing-compliance system for a global capital management firm took review of 8,000+ documents from days to hours. An AI driver-support agent covers about 218,000 driver calls a year in three languages. See our case studies.
A named team before you start. With your quote, you get a plan, a price and the names of the people who would do the work.
FullStack says 600 US companies work with it and that it has taken AI into production for dozens of customers. You can hire a cross-functional team that builds and scales your product, or add engineers through Connect, its talent portal. There, you see a curated shortlist, watch full-length coding assessments and interviews with grader comments, compare rates and availability, and book interviews in one click. Every engineer comes with a two-week trial. FullStack's AI work runs as a loop: measure a baseline, build and test against it, validate in production, and repeat. It publishes client and engineer NPS results each quarter.
FullStack doesn't publish a rate card; rates appear in Connect once you're a client. It offers a two-week trial on every engineer. Its about page cites its own 2026 research putting fully loaded LatAm engineering cost at about $65,000 to $72,000 a year, but that's a market figure, not a FullStack price.
Ours is public. Typical Ryz cost is $7,000-$15,000 per engineer per month, mostly mid-level to senior. Mid-level (comparable to Amazon L5 / SDE II) is $7,000-$10,000. Senior (comparable to Amazon L6) is $10,000-$15,000. Leads are $15,000+, quoted per team. A 7-person AI pod for six months is team size × duration × monthly rate; at an average of $12,500, that's $525,000. You get a plan, a price and the names of the people before you start.
Yes. The company now brands itself as FullStack at fullstack.com, and its about page still uses the FullStack Labs name.
FullStack doesn't publish rates, so compare written quotes for the same seniority. Our ranges are public: $7,000-$10,000 a month for mid-level and $10,000-$15,000 for senior engineers.
Our pods are senior by default, work on US business hours and build in your cloud and repos. Our case studies show what they've shipped, from fraud detection to an AI voice platform with 1M+ outbound calls.
Ryz engineers work on your team, reporting to your leads. Talk to us to scope your team.
We checked FullStack's site in October 2026. Services and terms change, so confirm them with FullStack before you sign.
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