We'll say this up front: Ryz Labs wrote this page, and we think we're the better choice here. We've kept every fact about other companies to what they publish themselves or what public listings show, with sources at the end.
For most US enterprises building AI, Ryz Labs is the better choice. You get a dedicated AI pod team, about 7 senior engineers including a tech lead and an ML engineer, working in your cloud, repos and standups on New York hours, with weekly demos. Our pods have systems in production: fraud detection that has surfaced $5.94M in confirmed fraud, and a compliance system that took review of 8,000+ documents from days to hours for a global capital management firm. Before you sign, you see a scoped plan, a price, and the names of the people who would do the work.
Tribe AI is an AI strategy and services firm that works in three phases (Map, Build and Activate) with forward-deployed engineers drawn from a network of AI practitioners. It fits if you want a strategy phase to decide what to build. If you know what you need built and want a dedicated senior team shipping it in your stack, pick Ryz.
Our pods ship to production. One Ryz pod built AI fraud detection for a global fleet company: 244K+ invoices scored, under 30 seconds per invoice, and $5.94M in fraud confirmed by the client's own fraud team. Another built AI marketing compliance review for a global capital management firm, taking review of 8,000+ documents from days to hours. Our pods have also built an AI voice platform with 1M+ outbound calls, an AI driver-support agent that answers 218K questions a year in three languages, and an AI real-estate agent that works 24/7. Details are on our case studies page.
One dedicated senior team, in your stack. A typical pod is about 7 senior engineers, including a tech lead, an ML engineer and backend engineers, working as one team. They work in your repos, your CI and your standups, in your cloud (AWS, Azure, GitHub, Postgres, with Anthropic and OpenAI models), and show working software in weekly demos. It's one team, dedicated to your build.
A clear path: Talk, Match, Join, Grow. We start with a conversation, match a dedicated team scoped to your stack, bring it into your repos, CI and standups, then grow it. When the system is running, you can add people or disciplines, or have the whole system handed over to your team. The code and the know-how stay with you.
New York hours. Our engineers are in Latin America and work within about an hour of US time zones, so code review and decisions happen the same day your team makes them.
Top 1% engineers you know by name. We've interviewed tens of thousands of engineers, and only the top 1% make it. Recruiters source, our 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. Your quote comes with the names of the people who would do the work. See our vetting process.
Trusted by Fortune 500 engineering teams, across industries. We work with US enterprises in every industry, including financial services, with decades of LatAm expertise. Our recruiting AI is governed under EU AI Act high-risk requirements, and we follow GDPR and CCPA/CPRA.
Tribe AI was founded in 2019 and has offices in New York, San Francisco and Lisbon. It sells AI strategy and services in three phases: Map to find opportunities, Build to ship production systems with forward-deployed engineers, and Activate for workflow redesign and adoption. Per TechCrunch, its talent is a network of senior AI practitioners (500+ in 2024) working on contracted projects; it raised a $3.25M seed round in 2024. Tribe says it is SOC 2 Type II certified and Microsoft SSPA compliant, and it joined Google Cloud's Gemini Enterprise for Legal and Financial Services program in August 2026. Pricing is not published.
Tribe AI doesn't publish pricing, and its engagements are scoped per project across its Map, Build and Activate phases.
Our typical cost is $7,000 to $15,000 per engineer per month, and the quote is scoped per team, because a pod's size and mix depend on your system and how much your own engineers will carry. With the quote you get a scoped plan, a price, and the names of the people who would do the work, before you sign anything. You know exactly which senior engineers will build your system and how the pod is shaped.
Still comparing? Read our guide to the best alternatives to big consultancies for building AI, the Tribe AI alternatives page, or our AI pod providers guide.
Both use forward-deployed engineers and both have a New York presence. The difference is the team: Tribe draws engineers from a practitioner network for contracted projects across strategy, build and adoption, while Ryz provides one dedicated pod of senior engineers that builds in your stack and ships to production.
Our pods' systems are in production across fraud detection, marketing compliance, voice, driver support and real estate, with numbers on our case studies page. Ask any provider for production results and references for systems like yours.
You can. If you already know what you need built, though, a dedicated pod can start from your plan. Talk to us and we'll send a scoped plan with the names of the engineers.
We checked every provider on this page in October 2026. If something has changed, tell us and we'll update it.
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