CrewAI has become one of the go-to frameworks for building multi-agent systems orchestrating teams of specialized AI agents that collaborate on a task instead of relying on a single monolithic prompt. But like most agent frameworks, CrewAI expertise rarely exists as a standalone service. It sits on top of broader AI engineering, cloud infrastructure, and enterprise software delivery which is why this list is really a mix of enterprise consultancies, boutique agencies, and talent platforms, each bringing multi-agent orchestration into a different part of their existing practice.
Here are 10 companies worth shortlisting if you're hiring for a CrewAI or multi-agent build, what each one is actually good at, and who should reach for them.
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Quick Rundown
Here's the full list at a glance before we dive into details:
1.Cognizant — Global IT giant with a dedicated Agent Foundry for enterprise multi-agent systems
2.Lemon.io — Vetted developer marketplace with a dedicated LLM/agentic framework talent pool
3.Pragma — Latin American nearshore software and digital transformation partner
4.Applandeo — Poland-based custom software shop with machine learning consulting
5.Globant — Publicly traded digital transformation firm with an Enterprise AI platform
6.Rootstrap — Nearshore product studio building embedded PM/design/engineering pods
7.Fission Labs — Cloud native product development shop with deep AWS and AI/ML roots
8.Caylent — AWS Premier Partner specializing in Bedrock-based generative AI delivery
9.Wizeline — Nearshore engineering firm pairing senior developers with embedded AI agents
10.Itransition — Large enterprise software engineering firm with AI driven analytics expertise
Cognizant runs a dedicated Agent Foundry practice built specifically for enterprise multi-agent development evaluating existing workflows, building and optimizing multi-agent systems, and deploying them with observability and governance baked in. It's backed by real production case studies, including cutting a UK financial services firm's regulated content approval cycle from four weeks to four minutes using agentic AI.
Best for: Large enterprises that need multi-agent orchestration bundled with formal governance, observability, and change management.
Lemon.io is a vetted developer marketplace (est. 2015, 1,500+ developers, roughly 1% acceptance rate) that matches companies with pre-screened engineers within about 24 hours. It maintains a specific talent pool for LLM developers working across LangChain, LangGraph, agentic frameworks, and vector databases which extends naturally to CrewAI-style multi-agent builds, since you're hiring an individual specialist rather than an agency team.
Best for: Startups that want to add one or two specialized agentic-AI engineers to an existing team fast, without a full agency engagement.
Pragma is a 25+ year-old custom software and digital transformation company operating a nearshore model out of Colombia and Peru, with over 1,300 engineers delivering projects for 150+ clients across North and South America. It's not an AI-only shop, but its systems integration, cloud, and data science practices give it the infrastructure background multi-agent deployments typically need.
Best for: North American companies wanting a nearshore team (aligned time zones, English-speaking) for a broader software build with agentic AI as one component.
Applandeo is a Kraków-based custom software development company (founded 2013) with a portfolio spanning logistics, fintech, and healthcare, plus dedicated machine learning consulting services. It's a mid-sized shop roughly 50 people so projects get closer, more senior attention than at a large outsourcing firm.
Best for: Small and mid-sized businesses wanting a European team with existing ML consulting experience for a scoped agentic AI feature.
Globant is a publicly traded (NYSE: GLOB) digital transformation company that has built its own Globant Enterprise AI platform and industry-focused "AI Studios," recently achieving the AWS Generative AI Consulting Services Competency. Its scale and proprietary AI tooling position it toward large, production-grade agentic deployments rather than quick prototypes.
Best for: Enterprises wanting a large, publicly accountable vendor with its own AI platform layered on top of custom development.
Rootstrap is a nearshore consultancy (teams across the US, Uruguay, and Argentina) built around staff augmentation and embedded product pods PMs, designers, and engineers working together rather than a single contracted deliverable. It's shipped hundreds of digital products and works comfortably across modern web and mobile stacks, making it a flexible option for teams that want agentic AI folded into a broader product build.
Best for: Startups that want product strategy and design alongside the engineering, not just backend agent orchestration.
Fission Labs is an end-to-end product development shop with deep roots in cloud engineering, big data, and AI/ML, headquartered in Sunnyvale with offices in Dallas and India. Its AWS and cloud-native background matters for multi-agent systems specifically, since agent orchestration at scale usually depends on solid underlying cloud infrastructure.
Best for: Teams that want a CrewAI build backed by a partner who can also own the surrounding cloud architecture.
Caylent is an AWS Premier Tier Services Partner that has won multiple AWS "GenAI Partner of the Year" awards and holds the AWS Generative AI Competency. Its work centers on Amazon Bedrock including building AI agent systems for clients like BrainBox AI's autonomous building-management assistant which makes it a natural fit if your CrewAI deployment is going to live on AWS infrastructure.
Best for: Teams already committed to AWS wanting deep Bedrock-specific expertise for production agentic AI.
Wizeline is a nearshore technology services company (founded in Mexico, HQ in San Francisco) that has built its delivery model specifically around pairing senior engineers with embedded AI agents what it calls "Agentic Pods" configured around a client's release cycles and AI maturity level. That focus on human-plus-agent delivery teams is a closer conceptual match to CrewAI's multi-agent-collaboration model than most generalist shops.
Best for: Companies wanting a delivery team that itself works in a human-AI agent hybrid model, not just one that builds agents for you.
Itransition is a large (3,000+ engineer) global software engineering firm founded in 1998, with a long track record in complex enterprise integrations and AI-driven predictive analytics including computer vision and recommendation engine work for a global fashion retailer that lifted conversions 8%. Its strength is unglamorous, deeply technical enterprise systems work rather than flashy AI demos.
Best for: Large organizations that need agentic AI integrated into complex, legacy-heavy enterprise systems.
A few quick filters to decide faster
- Need enterprise-grade governance and observability for multi-agent systems? Cognizant's Agent Foundry.
- Want to add one specialized agentic-AI engineer fast, not a whole agency team? Lemon.io.
- Already running on AWS and want deep Bedrock expertise? Caylent.
- Want a nearshore team in your time zone for a broader build? Pragma, Rootstrap, or Wizeline.
- Need agentic AI folded into legacy enterprise systems? Itransition.
- Want a large vendor with its own proprietary AI platform? Globant.
- Small/mid-size project, want a lean European team? Applandeo.
Final Thoughts
"CrewAI development company" isn't really its own category it's a specific orchestration skill sitting inside a much broader spectrum, from enterprise consultancies with formal agent-governance practices to talent marketplaces that place individual specialists to nearshore studios that build the whole product around the agents. The right pick depends less on who name-drops CrewAI in their marketing and more on whether their broader engineering, cloud, and delivery-model strengths match the scale and complexity of your multi-agent system.
If you're evaluating partners for your team, start with 1–2 from this list based on the kind of project you're running, trial them on a real (but low-risk) piece of the build, and see how much of the agent orchestration complexity they actually take off your plate over the next 30 days.
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Which of these have you worked with or who else belongs on this list? Drop it in the comments 👇
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