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 teams that need an AI system 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, and ships. Our pods have AI systems in production today, from fraud detection that has confirmed $5.94M in fraud for a global fleet company to 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.
Thoughtworks is an engineering-led global consultancy with 47 offices in 18 countries. It fits a consulting-led modernization or enterprise agent program that combines strategy, design and engineering. If you want senior engineers building a specific AI system in your own stack, on New York hours, pick Ryz.
AI pod teams with systems in production. Our pods build AI in your stack and put it into 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 handles 218K driver questions a year in three languages. See our case studies.
Engineers who build, 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 in AWS, Azure, GitHub and Postgres, with Anthropic and OpenAI models. They work in your repos, your CI and your standups, and show working software in weekly demos. You don't buy a consulting program or a vendor platform; you get a team that ships the system and leaves it with you. When it's done, grow the pod or have the whole system handed over to your team.
New York hours, every day. Our engineers are in Latin America and work on US business hours, so code review, pairing and decisions happen the same day. At its last public filing, 63.1% of Thoughtworks' people were in Asia-Pacific and 9.3% in North America, so overlap depends on which office staffs your work.
Top 1% engineers you know by name. 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, every candidate goes through a structured NTRVSTA AI interview, and recruiters review each one before and after. AI scores are advisory, and people decide. You choose from a recruiter-curated shortlist and run the final interview yourself. Our vetting process page shows every step.
A clear plan 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.
Trusted by Fortune 500 engineering teams, across industries. We work with US enterprises in every industry, including financial services, and bring decades of LatAm expertise. We follow GDPR and CCPA/CPRA, and our recruiting AI is governed under EU AI Act high-risk requirements.
Thoughtworks was founded in Chicago in 1993 and is known for agile delivery and modernization. Apax Funds took it private in 2024 at about $1.75B in enterprise value. It says it has 10,000+ people in 47 offices across 18 countries; its last public filing reported FY2023 revenue of $1,126.8M, with financial services and insurance at 17.5%. It sells AI strategy and agentic AI consulting, plus two platforms launched in 2026: AI/works, an agentic development platform for legacy modernization and new builds, and Agent/works, a control plane and governed runtime for AI agents. Its public financial services case is a monolith-to-microservices modernization for a large card issuer.
Thoughtworks doesn't publish pricing or minimum engagement sizes. Its last annual report says it uses time-and-materials and fixed-price contracts.
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. 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 who is building your system and what it costs.
Still comparing? See our list of Thoughtworks alternatives, Ryz Labs vs EPAM, and our guide to alternatives to big consultancies for building AI.
Because the goal is a working AI system, built in your stack and shipped to production. A senior pod on New York hours, with weekly demos and systems already in production for other clients, gets you there with a team you know by name.
No. Apax Funds took it private in 2024. Its last public annual report covered 2023.
Thoughtworks' agentic development platform, launched in January 2026, for reverse engineering legacy systems into specifications and generating code and tests. Ryz doesn't sell a platform: our pods build in the stack you already run (AWS, Azure, GitHub, Postgres, Anthropic and OpenAI models).
Yes. Our pods work in your stack alongside your team and your other vendors, and can own a specific AI system within a wider program. Talk to us about scope.
Last checked October 2026. Pricing, trials and services move fast in this market, so verify the details with each vendor.
Thanks — your message has been sent. We’ll get back to you soon.
Something went wrong while sending your message. Please try again or email info@ryzlabs.com.