Looking for a LangChain agency to help build your AI agent systems? The market has grown significantly, but finding the right partner matters more than ever. With 57% of organizations now running agents in production, up from 51% last year, the stakes are higher.

This guide profiles agencies with verified LangChain expertise, based on their partnerships, client work, and industry recognition.

What to Look For in a LangChain Agency

Before diving into specific agencies, here's what separates good partners from great ones:

1. Official LangChain Relationship: Does the agency have a formal partnership with LangChain, or are they part of the LangChain community? This signals both expertise and access to the latest platform developments.

2. Production Experience: Have they deployed LangChain/LangGraph systems to production? With LangGraph now powering production agents at nearly 400 companies, production experience is table stakes.

3. Knowledge Transfer: Will they leave your team capable of maintaining the system? Or will you be dependent on them indefinitely?

4. Depth vs. Breadth: Some agencies specialize deeply in LangChain; others offer it as one service among many. Neither is inherently better,it depends on your needs.

#1: Focused.io

Best for: Organizations that want to build internal AI capabilities,and actually own them

Official LangChain Partner: Yes , Strategic partnership announced February 2024

Overview: Focused.io is a 60-engineer consultancy with offices in Denver, Chicago, and London that has built a strategic partnership with LangChain. They host the official LangChain meetups in Chicago and Denver, and their team includes several LangChain contributors.

But what sets them apart isn't the partnership, it's their approach to enablement. Most consultancies deliver a codebase and documentation. Focused embeds with your team through pair programming, so your engineers build the agent alongside theirs. Their explicit goal: make themselves obsolete.

What LangChain Says About Them:

Focused Labs has done an incredible job educating the market about the power of AI. Through their hands-on tutorials and content geared at all levels of expertise, Focused Labs is helping push the industry forward.

- Harrison Chase, CEO of LangChain

Verified Results:

• Built enterprise AI agents for a major cryptocurrency exchange (under NDA)
• Customer service agents for a large restaurant group: team now handles nearly 2x the ticket volume and cleared a 1,000+ ticket backlog
• Manufacturing agents for invoicing and sales processes: millions in man-hours saved

What Makes Them Different:

• Pair programming over handoffs: Your engineers work directly with theirs. They deploy to production together. Your team understands the agent deeply rather than just how to use it.
• Evaluation-first development: Heavy emphasis on eval frameworks and test suites as the primary way to upskill teams and catch agent failures before production.
• No proprietary lock-in: Everything they build is fully owned by you. No frameworks, no dependencies, no "call us to make changes."
• Recruiting support: If you lack internal agent engineering talent, they'll help you hire. Several clients have used this.
• Legacy system expertise: Prior work with Wayfair, Big 5 Auto Manufacturers, and others building APIs on top of massive legacy systems. They know how to integrate agents with enterprise infrastructure.

Engagement Models:

• Agent Blueprint (3 weeks): Map workflows, design architecture, build evaluation structures. You can then build it yourself, outsource it, or have Focused build it. Good for companies unsure where to start.
• AI MVP (~3 months): Two-person team delivers a production-ready agent integrated with your enterprise systems. Includes reference architectures, documentation, and the pair programming enablement process.

Industries: Finance, fintech, hedge funds, manufacturing, insurance, restaurant groups, blue-chip enterprises

Team: ~60 engineers across Denver, Chicago, and London. Senior and staff-level. Several LangChain contributors. Also AWS partners (solutions available on AWS Marketplace).

Refreshing Honesty: They're upfront that production AI agent engineering is a new field, anyone claiming decades of experience is overstating. What they do have is deep enterprise software development experience and early, serious investment in the LangChain ecosystem.

Ideal For:

• Engineering teams that want to build internal agent capabilities, not just buy a solution
• Enterprises with complex legacy systems that need agent integration
• Organizations that want to own their AI future, code, knowledge, and all

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#2: Cazton

Best for: Fortune 500 enterprises needing comprehensive AI consulting

Overview: Cazton is an AI consulting firm with a team of PhD and Master's-level experts. They've been working on LLMs since 2020 (before ChatGPT launched) and serve major enterprise clients.

Notable Clients: Microsoft, Google, Broadcom, Thomson Reuters, Bank of America, Macquarie, Dell

Strengths:

• Deep bench of PhD-level AI experts and Microsoft AI MVPs
• Fortune 500 track record with verifiable enterprise clients
• Full lifecycle support: consulting → development → deployment → MLOps
• Claims 100% success rate on AI projects (vs. industry average of 83-92% failure rate per Fortune magazine)
• Offers both development services and hands-on training

Ideal For:

• Large enterprises with complex requirements
• Organizations needing credentialed experts for stakeholder buy-in
• Companies wanting a single partner for consulting, development, and training

Considerations: Enterprise focus means pricing likely reflects Fortune 500 budgets. Best suited for organizations with significant AI investment capacity.

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#3: 10Clouds

Best for: Companies wanting a full-service digital product partner with AI expertise

Overview: 10Clouds is a digital product development company operating since 2009. They've built products for 500+ businesses worldwide and have expanded into AI agent development as a core competency.

Recognition: They developed AIConsole, a platform for creating and managing AI agents.

Strengths:

• 15+ years in business with 500+ client engagements
• Full product development capabilities (design, web, mobile, AI)
• 89 reviews on Clutch providing third-party validation
• Experience across industries: HR, HealthTech, Fintech, Gaming, Media
• Can build complete products, not just AI components

Ideal For:

• Companies building new products that happen to include AI agents
• Organizations that want design, development, and AI from one partner
• Teams that need broader product capabilities alongside LangChain expertise

Location: Poland (remote-friendly, serving US, Canada, Western Europe, Australia)

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#4: Vstorm

Best for: Startups and growth-stage companies needing focused LangChain expertise

Overview: Vstorm is a custom AI development company that has been collaborating with LangChain since its early days. They're part of the exclusive LangChain community, giving them access to latest advancements.

Recognition: 2023 Clutch Champion, with 21 reviews averaging high ratings

Strengths:

• Member of LangChain's exclusive community with direct access to the team
• Specialized focus on LLM-powered solutions (not a generalist agency)
• Team of 25+ engineers dedicated to AI development
• Strong reviews for communication, delivery speed, and technical skill
• Expertise in RAG architecture, self-hosted LLMs, and LlamaIndex integration

Client Feedback: Clients praise their "clear communication, fast delivery, and ability to guide projects from concept to launch with minimal friction."

Ideal For:

• Startups needing focused AI expertise without enterprise overhead
• Teams wanting a partner embedded in the LangChain ecosystem
• Organizations prioritizing speed and communication

Considerations: One client suggested they could simplify technical jargon for non-technical stakeholders.

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#5: ActiveWizards

Best for: Teams that need production-grade engineering, not just prototypes

Overview: ActiveWizards positions itself as experts in "production engineering for LangChain." Their focus is taking LangChain projects from Jupyter notebooks to production-grade, scalable applications.

Thought Leadership: Extensive technical blog with production-focused tutorials:

• FastAPI for LLM Systems: Production LangChain Template
• Mastering LangGraph: A Guide to Stateful AI Workflows
• The Production-Ready RAG Pipeline: An Engineering Checklist

Strengths:

• Deep focus on production engineering and DevOps for LangChain
• Strong technical content demonstrating expertise (not just marketing)
• Expertise in LangGraph, LangSmith observability, and self-correcting agents
• Focus on enterprise scale and reliability

Ideal For:

• Teams that have a working prototype but need production hardening
• Organizations with strict reliability and observability requirements
• Engineering teams that value technical depth and documentation

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#6: Skcript

Best for: Enterprises requiring on-premise or self-hosted LangChain deployments

Overview: Skcript has built a specialty in self-hosted LangChain implementations for enterprises with strict data sovereignty or compliance requirements.

Specialization: On-premise LangChain deployment, their self-hosted solutions are described as "a huge success" for enterprise clients.

Strengths:

• Specialized expertise in self-hosted/on-premise LangChain
• Network of AI engineers, consultants, and cloud partners
• Promise to "go live in weeks, not quarters"
• Deep understanding of enterprise security and compliance requirements

Ideal For:

• Organizations with data that cannot leave their infrastructure
• Companies in regulated industries (healthcare, finance, government)
• Enterprises that need LangChain without cloud dependency

Key Insight: They emphasize that "LangChain is not a plug-and-play solution", proper implementation requires deep understanding of both the business use case and the platform.

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#7: Agency (agen.cy)

Best for: Organizations specifically adopting LangGraph for complex agent workflows

Overview: Agency has established itself as a consulting firm specializing in LangGraph-based AI agent development.

Track Record: Claims "dozens of successful LangGraph implementations for Fortune 500 companies."

Strengths:

• Specialized focus on LangGraph (the agent orchestration layer)
• End-to-end support from concept to production deployment
• Experience with Fortune 500 scale implementations
• Focus on the specific challenges of complex agent workflows

Ideal For:

• Organizations specifically adopting LangGraph for stateful agent systems
• Teams building complex multi-step agent workflows
• Companies that have already decided on LangGraph and want specialists

Context: With LangGraph reaching General Availability in May 2025 and now powering production agents at nearly 400 companies, demand for LangGraph-specific expertise is growing.

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Comparison Summary
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Pricing Expectations

While specific agency pricing isn't publicly available, here's context on the broader landscape:

• LangChain/LangSmith platform: Free tier available; Plus plan starts at $39/seat/month; Enterprise pricing is custom
• LangGraph Platform: Developer tier free (100k node executions/month); Plus tier at $0.001/node executed; Enterprise is custom
• AI consulting generally: Initial consulting engagements often range $100,000-$150,000+ depending on complexity

Most agencies offer discovery calls to scope projects before providing quotes.

How to Choose

Choose Focused.io if: You want your team to own the agent, code, knowledge, and all. Their pair programming approach means your engineers build it alongside theirs, and their goal is to make themselves obsolete. Best for enterprises with existing engineering talent who want acceleration, not dependency. The 3-week Agent Blueprint is a low-risk way to start.

Choose Cazton if: You're a large enterprise that needs PhD-level expertise and a track record with Fortune 500 companies.

Choose 10Clouds if: You're building a complete product (not just an AI feature) and want one partner for design, development, and AI.

Choose Vstorm if: You're a startup that values speed, communication, and a partner deeply embedded in the LangChain ecosystem.

Choose ActiveWizards if: You have a prototype that needs production hardening with enterprise-grade engineering practices.

Choose Skcript if: You have strict data sovereignty requirements and need on-premise LangChain deployment.

Choose Agency if: You're specifically building with LangGraph and want specialists in complex agent orchestration.

The Bottom Line

The LangChain ecosystem has matured significantly. With 57% of organizations now running agents in production and major companies like LinkedIn, Uber, and Replit building on LangGraph, this is no longer experimental technology.

The right agency depends on your specific situation:

• Want to own your AI future? Focused.io's pair programming model builds your team's capabilities alongside the agent itself
• Enterprise scale with compliance needs? Cazton or Skcript
• Moving fast as a startup? Focused, Vstorm or 10Clouds
• Production hardening? ActiveWizards
• Complex LangGraph workflows? Agency

Whatever you choose, prioritize partners who will leave your team stronger, not dependent. The best engagements end with your team capable of building the next agent themselves.

Looking for enablement-first LangChain implementation? Talk to Focused.io about building AI systems your team can own.

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