Top AI Software Development Companies Implementing Claude (2026)

TL;DR

Anthropic's Claude Partner Network has grown to more than 40,000 applicant firms and over 10,000 individually certified consultants since launching in March 2026, and in June 2026 Anthropic added a tiered Services Track (Select, Preferred, Global Premier) plus a public Partner Hub directory so buyers can see which firms have actually shipped Claude into production versus which ones just added a logo to their homepage. This guide profiles 18 companies building with Claude, from AI-native product engineering shops to the largest global systems integrators - organised into three tiers by delivery model, weighted toward named, client-verified evidence over directory listings.

The fastest way to use this guide:

  • Named client-verified results, embedded AI SDLC → Forte Group (AI-Native Specialist)
  • AWS-native agentic delivery at enterprise scale → Caylent (AI-Native Specialist)
  • Fortune 500 transformation with Claude at workforce scale → Accenture, Cognizant, Deloitte, KPMG, Infosys, PwC (GSI)
  • Focused, faster-starting engagements in a specific domain → Zartis, Indicium AI, Deepsense AI, Slalom (Specialist Consultancy)

This is not a ranked "best to worst" list. Company order within each tier reflects how the guide is organised, not a quality judgement, with one disclosed exception: Forte Group is the commissioning client for this content, and its profile has been prepared to the same evidentiary standard applied to every other entry.

Table of Contents

Why most "companies using Claude" lists fail CTOs

A logo on a partner directory page tells you a relationship exists. It doesn't tell you whether the relationship produced anything. Since Anthropic's Claude Partner Network opened in March 2026, it has grown to more than 40,000 applicant firms and over 10,000 individually certified consultants - and in June 2026, Anthropic layered a tiered Services Track (Select, Preferred, Global Premier) plus a public Partner Hub directory on top of it, specifically so buyers could tell the difference between firms that have shipped Claude into production and firms that added a badge to their homepage.

Most listicles covering this topic don't make that distinction. They pull from the same directory, in the same order, with the same recycled paragraph about "AI-augmented delivery." This guide applies a different filter: verifiable delivery evidence over directory presence. The 18 firms profiled here were selected and organised based on what's actually checkable; Anthropic's own service partner directory, each company's own partnership pages and press releases, and, where it exists, a named customer case study with a client's name and real metrics attached to it, not a marketing quote.

How this list was compiled

Sources cross-referenced include Anthropic's Claude Partner Network directory and Services Track criteria, each firm's own Anthropic partnership page, company press releases, third-party G2 and Clutch reviews, partnership announcements, and named customer case studies (conference talks, co-branded case studies, on-the-record client quotes). The methodology weighted named, client-attributed outcomes over self-reported claims; formal Partner Network tier status where disclosed; and breadth of AI-native delivery versus AI as a bolt-on feature.

Not every Claude AI development company on this list has a public, numbers-backed customer story. That's worth knowing before you shortlist anyone; a directory listing confirms Anthropic and the firm have a relationship; a named case study with a client's name and specific metrics is a materially stronger signal, and one that's considerably harder to fabricate.

Before the rankings, the tier distinction matters more than the name on the door:

Understanding the market: three delivery tiers

AI-Native Product Engineering Specialists build software for a living and have embedded Claude into how they build it, not just what they sell to clients. Best when you want Claude Code experts whose own delivery velocity has been measurably transformed, not just a vendor who can bolt a chatbot onto your product.

Global Systems Integrators (GSIs) run Claude at workforce scale across tens or hundreds of thousands of employees. Best for Fortune 500 buyers who need organisation-wide transformation, not a single product team.

Specialist AI & Data Consultancies offer focused, faster-starting engagements in a specific domain or industry. Best when your need is narrower than a full transformation programme and you want to move in weeks, not quarters.

Many firms straddle more than one tier informally. The right choice depends on the scale and shape of your engagement, not which tier looks most impressive on paper.

Strategic positioning quadrant

Each firm plotted by evidence strength (directory listing to named case study with client metrics) and team scale (boutique to hyperscale). Bottom-right is proof over size; top-right is verified transformation at hyperscale. Click a legend item to isolate a tier; hover any point for the underlying figures.

AI-native specialist Global systems integrator Specialist consultancy

Click a legend item to isolate that tier. Hover any point for detail.

scale without proof verified at scale unproven niche proof over size hyperscale team scale evidence strength named case study

The Top 18

1. Forte Group

HQ: Boca Raton, FL | Delivery: US, Europe, LATAM | Founded: 2000 | Employees: ~900

Forte Group's Claude relationship is the most thoroughly documented on this list, and for a specific reason: it's backed by a named client willing to present shared results from a conference stage. Forte's engagement with Xceptor - publicly detailed by Xceptor's own SVP Engineering, Michael Kinloch, at CTO Craft London (March 2026) and CTO Craft Toronto (May 2026), runs Claude Opus for engineering-stage work and Claude Sonnet for non-coding stages, orchestrated through Claude Code with a custom skill architecture (v1.13, 46 org-wide installs) and Playwright MCP for test automation.

The documented results are client-verified rather than self-reported: two production connectors delivered in 2 days against a 2-week estimate (an 83% time reduction), an AI-driven Config Builder that shipped a Loan Notices workflow in 6 days against a 26-day estimate (77% reduction), and rework rates dropping from a roughly 30% baseline to under 10%. The engagement expanded from a single agent build into a board-approved, firm-wide AI programme, and introduced Forte to Astorg, the private equity firm behind Xceptor, opening a broader relationship across Astorg's portfolio.

Forte's AI practice sits on six service lines: strategy and governance, custom product development, AI agents and intelligent automation, analytics and decision intelligence, ML engineering and MLOps, and AI-enabled software delivery, and shows up across published client work spanning healthcare intake automation (a 30% efficiency gain), automated legal-industry email response (96% of inbound emails handled), and AI-driven design automation for a corporate-gifting manufacturer (a 70% cost reduction).

Why a CTO should consider them: Forte doesn't currently carry a public tier designation in Anthropic's Partner Network directory. What it has instead is a named, on-the-record customer willing to stand on stage and share results - which, measured against Anthropic's own Services Track criteria, is the single hardest evidence to fake.

Not a fit if: you need a firm with thousands of certified practitioners deployed simultaneously across continents, or your engagement is pure staff-augmentation rather than embedded delivery ownership.

Core Capabilities: Claude Code orchestration, custom skill architecture, agentic test automation (Playwright MCP), AI-augmented SDLC, config-driven workflow acceleration, AI strategy and governance

Industries: Financial services, insurance/InsurTech, healthcare, legal, private equity portfolio companies

2. Caylent

HQ: Irvine, CA | Founded: 2015 | Employees: ~800–950 | Anthropic status: Preferred Partner, Claude Partner Network

Caylent stood up Anthropic Consulting & Engineering (ACE); a business unit built exclusively around Claude, in April 2026, and is a charter member of the Claude Partner Network as well as an AWS Premier Tier Services Partner. That dual positioning sits Caylent squarely at the intersection of Anthropic's and AWS's ecosystems. The firm reports more than 500 AI workloads deployed on Amazon Bedrock, with Claude Enterprise implementations now driving more token consumption than 98% of its other Bedrock workloads combined, alongside self-reported partnership metrics of a 66% productivity increase, a 2x acceleration from prototype to production, and a 9+ customer satisfaction score.

Caylent backs this with named case studies rather than aggregate claims alone: Unbounce's Insightly built an AI-native CRM with agentic workflows on Claude via Amazon Bedrock; BrainBox AI applied Claude to autonomous building technology for energy efficiency; Best Egg accelerated payment support automation; and Mediaura took a GenAI healthcare product to commercial readiness in 45 days. Caylent was also named a launch partner for Claude for Life Sciences.

Why a CTO should consider them: If your infrastructure is already AWS-centric and you need agentic delivery that's genuinely native to that stack rather than retrofitted onto it, Caylent's dedicated Claude business unit, Bedrock volume, and stable of named case studies are hard evidence of depth, not just partnership marketing.

Not a fit if: your infrastructure isn't AWS-centric, or you need deep non-cloud legacy modernisation experience.

Core Capabilities: Amazon Bedrock-native agentic delivery, Claude Enterprise implementation, LLMOps, AWS platform engineering

Industries: Healthcare and life sciences, financial services, media and entertainment, SaaS/ISV, energy and utilities

3. EPAM Systems

HQ: Newtown, PA | Founded: 1993 | Employees: 62,000+ | Revenue: ~$5.7B (2026 target); North America $3.2B+

EPAM's multi-year, CEO-mandated Anthropic partnership (announced May 2026) is anchored in a specific, verifiable buildout: a dedicated practice targeting more than 10,000 Claude-certified architects, including 250 specialised forward-deployed engineer "Black Belts." As of the announcement, over 1,300 architects were already certified, with 5,000 targeted by the end of Q3 2026, and more than 20,000 EPAM staff had completed training through Anthropic Academy. EPAM's AI/Run™.Transform practice runs on a "client zero" positioning; deploying Claude internally before bringing it to clients, spanning Claude API upskilling for developer teams and workforce-wide Claude deployment for business process transformation, with EPAM reporting partnership-level results of up to 50% faster delivery cycles and 30% cost savings.

Why a CTO should consider them: When your Claude programme needs to sit alongside a much larger legacy-modernisation effort, and you need one partner with the certified headcount to run both simultaneously, backed by ISO 27001, ISO 9001, and SOC 2 certifications.

Not a fit if: you need boutique-level responsiveness, or your engagement is below roughly $200K.

Core Capabilities: Claude-certified architects at scale, AI-powered SDLC and PDLC, legacy modernisation, platform engineering, enterprise-grade compliance tooling

Industries: Cross-industry, large-scale legacy environments, financial services, life sciences and healthcare

4. Globant

HQ: Luxembourg (US presence: San Francisco) | Founded: 2003 | Employees: 30,000+ | Listed: NYSE: GLOB

Globant's multi-year Anthropic alliance, announced June 2026, made it the largest Latin American-born services partner in the Claude Partner Network as one of the first Preferred Services Partners. Globant has given 28,500 employees access to Claude and is targeting 5,000 certified architects, with its productised "AI Pods" (specialised, agent-orchestrated service units) now adopted by 40% of its top 20 revenue-generating accounts. The alliance also secured Globant Forward Deploy Engineer certification for Claude, and focuses on media and entertainment, airlines, gaming, and hospitality, including script analysis and rights management for media clients, real-time booking personalisation for airlines, AI-native game design documentation, and multilingual guest concierge services for hospitality.

Why a CTO should consider them: For global, digitally-native transformation programmes where you want Claude embedded into a productised delivery unit (the AI Pods model) with genuine internal adoption numbers behind it, rather than assembled from scratch for your engagement.

Not a fit if: you need a firm with primarily US-based delivery leadership rather than a globally distributed model.

Core Capabilities: AI Pods (productised Claude delivery units), Forward Deploy Engineering, media and entertainment AI solutions, digital transformation

Industries: Media and entertainment, airlines, gaming, hospitality, cross-industry digital transformation

5. Distyl

HQ: San Francisco, CA | Founded: 2022 | Employees: ~160 | Enterprise AI company; not exclusively Anthropic-focused

Distyl builds and deploys customised, agentic AI solutions for Fortune 500 companies using multiple leading foundation models, frequently leveraging Claude as the underlying reasoning engine within broader enterprise infrastructure rather than as an exclusive commitment. It's described in Anthropic's own service partner listing as designing "AI-native systems that drive measurable business outcomes within months, not years," with stated strength across financial services, healthcare, retail, manufacturing, telco, and tech. Public company-scale data; headcount, funding, is limited, which is itself worth flagging: in vendor diligence, ask directly for reference clients rather than relying on the marketing copy alone.

Why a CTO should consider them: For a fast-moving, outcomes-first engagement where the firm's own positioning explicitly rejects multi-year transformation timelines in favour of measurable results within months.

Not a fit if: you need a partner exclusively committed to the Claude ecosystem rather than a multi-model shop, or you need the kind of company-scale transparency (headcount, funding, public financials) that lets procurement sign off without a direct reference call.

Core Capabilities: Multi-model agentic systems design, rapid outcome-focused delivery

Industries: Financial services, healthcare, retail, manufacturing, telco, technology

6. Tribe AI

Founded: 2019 | Offices: New York, San Francisco, Lisbon | Certifications: SOC 2 Type II, Microsoft SSPA compliant

Tribe AI positions itself as bridging frontier models and production business impact through a combined platform-and-services model, reporting hundreds of shipped AI products across mid-market and enterprise clients. It's listed as an Anthropic service partner with particular strength in financial services, healthcare, tech, and education, and holds SOC 2 Type II certification alongside Microsoft SSPA compliance; a signal aimed at buyers with strict data-handling requirements.

Why a CTO should consider them: For buyers who want a platform layer alongside services delivery, rather than pure consulting hours, with compliance credentials suited to data-sensitive engagements.

Not a fit if: you need a single accountable partner for a multi-year, workforce-scale transformation programme rather than a mid-market or enterprise product engagement.

Core Capabilities: Platform-plus-services AI delivery, production AI product shipping

Industries: Financial services, healthcare, technology, education

7. forgd

Founded: 2025 | HQ: Cambridge, MA | Employees: ~50 | Anthropic status: Preferred Partner, Claude Partner Network Services Track

forgd's positioning is unusually direct about why it chose Anthropic: the firm names four attributes it says only Anthropic satisfies; production-grade reliability under real load, governability by explicit published principles, safety-aligned commercial incentives, and a design philosophy of extending human judgement rather than replacing it. Its named case study is with Solifi, a secured finance platform: CTO Vinay Mehta reports Claude Code embedded into daily operations within weeks rather than years, with 4 days to enable production workflows, 3 weeks to reach AI-native-level Claude adoption, and a 70% reduction in database calls. forgd structures engagements in three stages: Activate (team enablement), Build (co-built solutions shipping in weeks), and Scale (enterprise-wide agentic workflows), plus a dedicated Frontier Plan for enterprises wanting embedded, frontier-level teams.

Why a CTO should consider them: When the ask is narrowly scoped to developer velocity and Claude Code adoption rather than a broader transformation programme, and you want a named client reference with hard numbers behind it.

Not a fit if: your programme needs broad industry-vertical expertise or workforce-scale change management rather than focused engineering velocity gains.

Core Capabilities: Claude Code-focused delivery acceleration, agentic application architecture, Cowork-based non-technical automation, embedded engineering teams

Industries: Enterprise, private equity portfolio companies, non-profit/charity sector

8. Turing

Founded: 2013 | HQ: San Francisco, CA | Employees: ~5,000

Turing is a launch partner to customise Claude Enterprise for enterprise agent deployment - plugging Claude directly into CRMs, document systems, and business applications rather than leaving it as a standalone assistant. Turing's own framing is that "implementation is the bottleneck": most enterprise AI deployments stall as chatbot layers sitting outside the systems where decisions are made, so its work focuses on operational integration, human-in-the-loop governance, and change management across finance, sales, and operations use cases. Turing's Anthropic relationship is also bidirectional, supplying talent and data to help Anthropic improve model performance while separately helping enterprises deploy Claude in production.

Why a CTO should consider them: The two-sided relationship with Anthropic: supplying model-improvement data as well as consuming Claude for client delivery, is a distinctive signal of technical depth beyond typical reseller partnerships, particularly for cross-functional agent deployments spanning finance, sales, and operations.

Not a fit if: you're wary of a firm whose commercial relationship with Anthropic runs in both directions, or you need a named, numbers-backed client case study rather than thought-leadership content.

Core Capabilities: Production-system delivery on Claude, enterprise agent plugin design, AI talent sourcing, data services for model performance

Industries: Financial services, healthcare, retail, manufacturing, technology

Global Systems Integrators running Claude at workforce scale

For enterprise buyers who need a single partner capable of absorbing organisation-wide transformation, not just a product team.

9. Accenture

Founded: 1989 | HQ: Dublin (US HQ: New York) | Employees: 779,000+

Accenture and Anthropic formed the Accenture Anthropic Business Group in December 2025, training approximately 30,000 professionals on Claude, one of the largest concentrations of Claude practitioners anywhere, and making Claude Code available to tens of thousands of Accenture developers, its largest-ever single deployment. The two companies co-developed a joint offering for CIOs to measure ROI and scale AI-powered software development, and are building co-developed industry solutions starting in regulated sectors: financial services (automating compliance workflows), life sciences and healthcare (accelerating clinical trial processing), and public sector (citizen-facing service agents). The partnership also includes a joint Claude Center of Excellence and access through Accenture's Innovation Hubs.

Not a fit if: you're below roughly $500M in revenue or need a nimble team with direct leadership access rather than layered account management.

Core Capabilities: Workforce-wide Claude Code deployment, joint CIO-focused ROI measurement offering, regulated-industry co-developed solutions

Industries: Financial services, life sciences, healthcare, public sector, cross-industry Fortune 500 scale

10. Cognizant

Founded: 1994 | HQ: Teaneck, NJ | Employees: ~351,600

Cognizant is deploying Claude to up to 350,000 employees globally, aligning Claude models, Claude Code, MCP, and the Agent SDK with its own engineering platforms; the Flowsource platform for software engineering productivity, Neuro AI Multi-Agent Orchestration for building coordinated agent systems, and Agent Foundry for embedding agentic workflows into regulated environments, with an initial industry focus on financial services.

Not a fit if: you need a boutique team with direct founder or leadership access rather than a large-account delivery structure.

Core Capabilities: Workforce-scale Claude rollout, legacy code modernisation, multi-agent orchestration, financial services agentification

Industries: Financial services (initial vertical focus), cross-industry enterprise application delivery

11. Deloitte

Founded: 1845 | HQ: New York, NY | Employees: 470,000+ (global network)

Deloitte's Anthropic Alliance is anchored in its Trustworthy AI Framework paired with Anthropic's Constitutional AI approach, delivered through a dedicated Forward Deployed Engineering practice: more than 800 FDE professionals with deep platform and industry knowledge working alongside clients. Claude is available to 470,000 Deloitte professionals worldwide, building on a 2025 certification programme that targeted 15,000 professionals. Deloitte has also built 10X Analyst, a Claude-powered agentic platform for financial services knowledge workers doing deep financial research and dataset analysis, and offers Claude-powered technology modernisation for legacy and mainframe transformation.

Not a fit if: your programme is small enough that advisory-firm account structures and layered engagement teams would add overhead rather than value.

Core Capabilities: Trustworthy AI Framework, Forward Deployed Engineering, Claude-powered technology modernisation, 10X Analyst agentic platform

Industries: Fortune 500 and large private companies, financial services, cross-sector regulated industries

12. KPMG

Founded: 1987 | HQ: New York, NY | Employees: 276,000+

KPMG's global alliance with Anthropic is rolling Claude out to 276,000 people firm-wide, guided by the KPMG Trusted AI framework, with initial client-facing focus on tax compliance, private equity strategy, and cybersecurity vulnerability detection. In May 2026, KPMG launched Digital Gateway Powered by Claude, embedding Claude Cowork into its global client delivery platform starting with Tax & Legal clients.

Not a fit if: you're looking for an AI-native product engineering partner rather than an audit-and-advisory firm extending Claude across its existing practice.

Core Capabilities: KPMG Trusted AI framework, Digital Gateway Powered by Claude, tax and private equity AI integration, AI-driven cybersecurity

Industries: Tax and legal, private equity, cybersecurity, cross-industry global scale

13. Infosys

Founded: 1981 | HQ: Bengaluru (US: Plano, TX) | Employees: ~317,000 | Revenue: ~$19.3B (FY2026)

Infosys and Anthropic launched their collaboration in telecommunications first, with a dedicated Anthropic Center of Excellence, before expanding to financial services, manufacturing, and software development. The partnership pairs Claude; including Claude Code and the Claude Agent SDK, with Infosys Topaz to automate carrier network operations in telecom, accelerate risk detection and compliance in financial services, speed up product design and simulation in manufacturing, and support Claude Code-driven development. Infosys is already running Claude Code inside its own Exponential Engineering organisation, using that internal experience to inform client engagements directly.

Not a fit if: you need a firm with primarily US-based delivery leadership rather than a global offshore-hybrid model.

Core Capabilities: Industry-specific Claude-powered agents (Topaz integration), telecom network modernisation, financial risk and compliance automation, Claude Code adoption

Industries: Telecommunications (launch vertical), financial services, manufacturing, software development

14. PwC

Founded: 1998 | HQ: New York, NY | Employees: 30,000+ (certified professionals, not total headcount)

PwC is scaling Claude across five priority areas backed by more than 30,000 Claude-certified professionals and a joint Anthropic Center of Excellence: Finance (a compliant-by-design agentic harness for CFO-level orchestration), Modernization (Claude Code-driven legacy and COBOL transformation, with PwC reporting delivery velocity improvements of up to 70% in regulated client environments), Healthcare (as a launch partner for Claude for Healthcare, covering clinical and revenue-cycle workflows for providers and payers), Life Sciences (as a launch partner for Claude for Life Sciences, spanning clinical development through commercialisation), and Cybersecurity (secure Claude Enterprise deployment and agentic security operations). Claude Code and Cowork are rolling out to its US workforce first.

Not a fit if: your programme sits outside their prioritised regulated-industry focus, or you need a smaller, non-advisory delivery team.

Core Capabilities: Regulated-industry Claude scaling, joint Anthropic Center of Excellence, Claude Code and Cowork rollout, launch partner for Claude for Healthcare and Claude for Life Sciences

Industries: Healthcare and life sciences, financial services, cybersecurity

GSI fit note: all six firms above (Accenture, Cognizant, Deloitte, KPMG, Infosys, PwC) are built for enterprise-wide, multi-year transformation programmes with budget minimums typically starting in the millions. If you need a 10-person product team shipping in weeks, look to the AI-native specialists or the specialist consultancies below instead.

Specialist AI & data consultancies

Focused engagements, narrower scope, often faster to start than a full GSI programme.

15. Zartis

Founded: 2009 | HQ: Cork, Ireland | Employees: ~500 | Anthropic status: Preferred Services Partner, Claude Partner Network

Zartis focuses on moving organisations from Claude experimentation to production, spanning secure LLM-to-system architecture, governance and observability, and hands-on Claude Code workshops run across Europe (recent sessions in Amsterdam, Stockholm, Helsinki, and Madrid). It's listed in Anthropic's directory with strength across financial services, healthcare, retail, tech, government, and energy, with client-side testimonials from BMW Group workshop participants and Compliance & Risks' VP of Engineering describing the relationship as bringing in AI expertise to complement in-house subject-matter experts.

Not a fit if: you need workforce-scale delivery capacity rather than a focused consulting engagement.

Core Capabilities: Claude implementation for production systems, Claude Code workshops and enablement, AI governance and guardrails

Industries: Financial services, healthcare and life sciences, retail, technology, government, energy, telecommunications

16. Indicium AI

Founded: 2017 | HQ: New York / São Paulo / London | Employees: 600+ (stated as "experts") | Anthropic status: Preferred Partner, Claude Partner Network

Indicium AI reports 600+ AI experts serving 50+ enterprise clients from five global locations (New York, São Paulo, Florianópolis, London, Lisbon), with a stated focus on financial services, energy & utilities, healthcare & life sciences, retail & CPG, and manufacturing. Its published metrics include up to 70% efficiency gains from Claude Code adoption and legacy-practice modernisation, and a 75% increase in RFP-response capacity through an automated agentic workflow that detects and responds to RFPs in real time.

Not a fit if: your industry falls outside their five named verticals, or you need workforce-scale rather than boutique-consultancy delivery.

Core Capabilities: Claude Code and SDLC modernisation, agentic workflow automation, AI-powered document intelligence, secure enterprise AI deployment

Industries: Financial services, energy & utilities, healthcare & life sciences, retail & CPG, manufacturing

17. Deepsense AI

Founded: 2014 | HQ: Palo Alto, CA / Warsaw, Poland | Employees: ~200

Deepsense AI is an Anthropic Service Partner that also holds an OpenAI Advanced Partner designation, positioning it as a multi-frontier-lab applied AI specialist rather than a Claude-exclusive shop. Its offer centres on a structured "Jumpstart Package"; a discovery workshop plus 80 hours of engineering to turn a prioritised use case into a working Claude-powered prototype, alongside deeper work in agentic AI systems, MCP-based enterprise integration, and Claude Code-driven codebase modernisation.

Why a CTO should consider them: If you want a partner whose frontier-model expertise isn't exclusive to Claude, useful when your architecture needs to stay model-agnostic, with a low-commitment structured entry point via the Jumpstart Package.

Not a fit if: you specifically want a partner whose delivery practice is built exclusively around Claude rather than split across multiple frontier labs.

Core Capabilities: LLM and RAG-based solution delivery, MCP integration, multi-frontier-lab expertise, structured discovery-to-prototype engagements

Industries: Pharma, healthcare, private equity and venture capital, software and technology, telecoms and media, manufacturing

18. Slalom

Founded: 2001 | HQ: Seattle, WA | Employees: ~12,000

Slalom's Anthropic partnership runs through AWS, combining Slalom's digital-experience expertise with Claude models on Amazon Bedrock. Its clearest named result is with United Airlines: a Claude-powered solution let United customise 50% of all flight-status updates to travellers, up from 15% without AI, plus a generative-AI customer care copilot helping agents respond faster to email inquiries. Slalom frames its offering around three pillars: faster development of AI solutions, better AI-driven customer experiences, and responsible AI adoption with built-in compliance monitoring.

Not a fit if: you've already completed strategy and use-case discovery and only need focused engineering execution rather than end-to-end consulting, or your infrastructure isn't AWS-based.

Core Capabilities: AWS/Bedrock-based Claude delivery, customer experience-focused GenAI solutions, responsible AI assessments and monitoring

Industries: Travel and transportation, cross-industry customer experience programmes, financial services, healthcare, retail

Decision framework for CTOs

Five questions that should anchor your partner selection:

1. Are you buying a relationship or a result? A Partner Hub listing confirms Anthropic and the firm have a relationship. A named case study with a client's name and specific metrics attached - like Forte Group's Xceptor engagement, forgd's Solifi case study, or Slalom's United Airlines use case, confirms it worked. Ask which one you're actually being shown.

2. What scale does your programme need? A 10-person product team shipping in weeks is better served by an AI-native specialist (Tier 1) or a focused consultancy (Tier 3) than a GSI built for multi-year, workforce-wide transformation.

3. Is your infrastructure locked to a specific cloud? If you're AWS-native, firms with a dedicated Claude-on-Bedrock practice (Caylent, Slalom) will move faster than a generalist.

4. Does your industry carry compliance obligations that are non-negotiable? Healthcare, finance, and government work needs partners with native compliance tooling and audit-ready frameworks; several firms above (PwC, Deloitte, KPMG, EPAM) have built specifically for this, including named launch-partner status for Claude for Healthcare and Claude for Life Sciences.

5. Does Claude change your cost or timeline, or just your feature list? Ask the firm directly. If their answer only covers Claude-powered features for your end users and not how Claude changes their own delivery economics, they're selling AI, not using it to deliver faster*.

*This isn't just a framing device; a peer-reviewed Management Science study of three randomized controlled trials at Microsoft, Accenture, and an anonymous Fortune 100 company (4,867 developers total) found a 26% increase in completed tasks among developers using AI coding assistance, though gains varied significantly by experience level.

Before you sign with anyone on this list, regardless of tier: ask for a named client reference you can call directly, not a quote pulled from a case study; confirm whether the firm's Claude relationship is a formal Partner Network tier or an informal usage relationship (both can be legitimate, but they mean different things); and ask specifically how Claude changes the cost or timeline of your engagement, not just what Claude-powered features they'll build for you.

All 18 at a glance

# Company HQ Scale Tier Best For

Frequently Asked Questions

Q: What does it mean for a company to "implement Claude" in software development?

It can mean several different things, and buyers should ask which one applies: (1) the firm uses Claude internally to build software faster for clients: code generation, test automation, architecture planning; (2) the firm builds Claude-powered products or agents for clients; or (3) both. Most firms on this list do some mix, but the proportion varies significantly, and it's worth asking directly rather than assuming.

Q: Is a listing in Anthropic's Partner Hub the same as a public customer story?

No. Anthropic's Services Track requires at least one public customer story to reach even the entry-level Select tier, with named references scaling up from there; three at Preferred, fifteen at Global Premier. A partner directory listing confirms a relationship exists; a named case study with a client's name and specific metrics attached, like Forte Group's Xceptor engagement, forgd's Solifi case study, or Slalom's United Airlines work, is a materially stronger signal.

Q: How is this different from a general "best AI companies" ranking?

This guide is scoped specifically to firms with a verifiable, current relationship with Anthropic's Claude models or Partner Network; not general AI vendors, and not firms whose primary AI relationship is with a different model provider (though a few, like Distyl and Deepsense AI, work across multiple frontier labs by design).

Q: How much does it cost to work with a Claude-focused delivery partner?

Pricing wasn't independently disclosed for most firms above, but as a general rule: AI-native specialists and focused consultancies tend to price closer to standard senior engineering rates, some with structured low-commitment entry points (Deepsense AI's Jumpstart Package runs a fixed discovery workshop plus 80 engineering hours), while GSIs bundle strategy with delivery at a premium reflecting workforce-scale account management. Ask any shortlisted firm to break out what portion of the engagement price reflects Claude-specific tooling versus standard delivery hours.

Q: What questions should I ask before hiring a Claude implementation partner?

Ask for a client reference you can call directly rather than a case study quote. Ask whether their Anthropic relationship is a formal Partner Network tier or an informal usage relationship. Ask how Claude changes their delivery cost or timeline specifically, not just what Claude-powered features they'll build for your end users - if the answer only covers the latter, they're selling AI, not using it to deliver faster.

Q: Do I need a firm in Anthropic's Claude Partner Network, or can any development shop implement Claude?

You don't strictly need one. Claude's API and Claude Code are openly available, and plenty of firms integrate them competently without a formal Partner Network relationship. What the Partner Network adds is a verification layer: Select, Preferred, and Global Premier tiers require Anthropic to have reviewed the firm's delivery capability and, at Preferred and above, seen named customer references. A non-member firm can still be the right choice -you'll just need to do that verification yourself, through direct references, rather than relying on Anthropic's vetting.

Q: How long does a typical Claude implementation engagement take?

It varies enormously by scope. Focused Claude Code adoption or a single agentic workflow can go from kickoff to production in days to a few weeks, as seen in forgd's Solifi engagement (4 days to first production workflow) and Forte Group's Xceptor work (individual connectors shipped in 2–6 days once the underlying architecture existed). Enterprise-wide rollouts through a GSI; training tens of thousands of staff, building a Center of Excellence, embedding Claude across regulated workflows, typically run 6–18 months for the initial wave, with adoption continuing for years after. Match the engagement model to the timeline you actually need.

Q: Should I choose an AI-native specialist, a GSI, or a specialist consultancy?

It depends on scale and risk tolerance, not on which is objectively "best." AI-native specialists (Tier 1) tend to move fastest and have the most hands-on Claude Code experience, but have less capacity to absorb a Fortune 500-scale, multi-year transformation. GSIs (Tier 2) can mobilise thousands of trained staff and run compliance-heavy programmes, but move slower and cost more per hour of actual engineering. Specialist consultancies (Tier 3) sit in between - often faster to start than a GSI, narrower in scope than a Tier 1 firm's full delivery ownership. If you're not sure, start with the "what does success look like and on what timeline" question from the decision framework above; the answer usually points to a tier.

Disclaimer: This analysis is based on publicly available information, including Anthropic's Claude Partner Network directory, each firm's own Anthropic partnership pages, company press releases, third-party review platforms, and named customer case studies, as of July 2026. Inclusion does not constitute endorsement. Forte Group is the commissioning client for this content; its profile has been prepared to the same evidentiary standard applied to every other entry on this list.

About the author

Simon Wright
Digital & Content Marketing Manager at Forte Group

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