Quick note before we start: Ryz Labs wrote this page, and we're one of the options on it. We believe we're the stronger pick for most US engineering teams. Facts about other providers come from public sources, listed below.
For most US enterprises that want AI built and running in production, Ryz Labs is the better choice. You get a dedicated AI pod team of top 1% senior engineers that works in your cloud, your repos and your standups, on US business hours. Our pods have shipped fraud detection that surfaced $5.94M in confirmed fraud, a compliance review system that took 8,000+ documents from days to hours, and an AI voice platform with 1M+ outbound calls. Before you sign, you see a scoped plan, a price, and the names of the people who would do the work.
Turing is a San Francisco AI company whose core business supplies training data, evaluations and RL environments to frontier AI labs, according to Sacra. It also sells enterprise AI work through pods and forward-deployed engineers drawn from a global network. It can make sense if your project is model training or evaluation research. If you want a senior team building and shipping an AI system in your own stack on New York hours, 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 that took 8,000+ documents from days to hours. Others built an AI voice platform with 1M+ outbound calls, an AI driver-support agent (218K a year, in three languages), and an AI real-estate agent that works 24/7. The details are on our case studies page.
A senior team in your cloud, not beside it. A typical pod is about 7 senior engineers, including a tech lead, an ML engineer and backend engineers, working as one team. They build in your stack (AWS, Azure, GitHub, Postgres, with Anthropic and OpenAI models), work in your repos, CI and standups, and show working software in weekly demos. The way it runs is simple: Talk, Match, Join, Grow. When the system is live, you add people or disciplines, or we hand the whole system over to your team.
New York hours, every day. Our engineers are in Latin America and work on US business hours, so code review, decisions and fixes happen the same day. Turing delivers from a distributed global network, and its public forward-deployed engineer postings include Hyderabad, India, so overlap depends on who is staffed.
Top 1% engineers you can name. 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, and every candidate goes through a structured NTRVSTA AI interview, with recruiter review before and after. AI scores are advisory; people make the decisions. See our vetting process.
Building enterprise AI is our main job. Our business is engineering teams: AI pod teams and senior engineers working on your team. Sacra reports that Turing's growth came mainly from its frontier-lab data and evaluation work, with enterprise build as a separate line.
Clear governance. Fortune 500 engineering teams trust us, we bring decades of LatAm expertise, we follow GDPR and CCPA/CPRA, and our recruiting AI is governed under EU AI Act high-risk requirements.
Turing was founded in 2018 and is based in San Francisco. It is private and raised a $111M Series E at a $2.2B valuation in March 2025; Sacra reported about $300M in annualized revenue at the end of 2024. Its homepage says it helps "frontier labs improve models and enterprises deploy agentic systems." For enterprises it sells Turing Intelligence in three parts (Advise, Augment and Build), plus Turing pods, forward-deployed AI engineers and an industry offering called "Intelligence for BFSI." Turing says Build starts with rapid prototyping and that clients keep their code and IP.
Turing doesn't publish prices for Turing Intelligence, its pods or its forward-deployed engineers, and its homepage lists no pricing. Engagements are quoted. For more detail, see Turing pricing.
Ours is $7,000 to $15,000 per engineer per month, scoped per team. What makes it different is what comes with it: a scoped plan, a price, and the names of the people who would do the work, before you sign anything. A pod sized for one production system looks different from a pod running several, so we scope to the team you actually need. You know exactly who will be in your standups.
Comparing more firms? See our Turing alternatives, the best forward-deployed engineering firms, and AI pod providers compared.
Not mainly. Sacra describes its core business as supplying training data, evaluations and RL environments to frontier AI labs. Its enterprise line, Turing Intelligence, uses pods and forward-deployed engineers. If you want a senior team that builds and ships AI in your stack, Ryz is built for that.
Ryz engineers work on US business hours, so your pod is on New York hours. Turing staffs from a remote global network, and its public forward-deployed engineer postings include Hyderabad, India.
Yes, along with every other industry. Our pods built AI marketing compliance review for a global capital management firm (8,000+ documents, days to hours) and fraud detection for a global fleet company. Turing sells an offering called "Intelligence for BFSI."
Yes. Our pods build with Anthropic and OpenAI models in your AWS or Azure cloud, your GitHub and your Postgres. Talk to us and you'll get a scoped plan with the names of your pod.
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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