Capgemini vs Azumo: full comparison for 2026
Quick verdict
Capgemini (4.0/5) edges ahead of Azumo (4.0/5) overall. Capgemini is the better choice for global firms outsourcing AI-run back-office processes. Azumo is the stronger option for U.S. startups wanting nearshore AI engineers. The right choice depends on your project size, budget, and required tech stack.
Capgemini vs Azumo: head-to-head summary
| Criterion | Capgemini | Azumo |
|---|---|---|
| Founded | 1967 | 2016 |
| HQ | Paris, France | San Francisco, CA, USA |
| Team size | 340,000+ | 80+ |
| Rating | 4.0 / 5 | 4.0 / 5 |
| Primary differentiator | Business-process outsourcing combined with agentic AI after the WNS deal | Latin American engineers working U.S. hours |
| Pricing model | Outcome-based BPS contracts, fixed-scope programs, and managed services; rates on request | Dedicated teams and time & materials; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | SAP, Salesforce, Microsoft Dynamics 365 | Azure OpenAI, AWS Bedrock, LangChain |
| Industries served | Manufacturing, Financial services, Insurance, Energy, Public sector | SaaS, Media, Healthcare, Financial services |
Capgemini vs Azumo: overview
Capgemini
Capgemini is a French IT services and consulting group founded in 1967, with more than 340,000 employees before its latest acquisition. It completed the $3.3 billion purchase of WNS, a business-process services firm, in October 2025, with the stated aim of selling agentic AI-run operations: finance, customer service, and procurement processes partly executed by agents. Its earlier acquisition of engineering firm Altran (2020) adds industrial depth. Buyers get global SAP, Salesforce, and Microsoft practices under one contract.
Azumo
Azumo is a nearshore software firm based in San Francisco, founded in 2016, with engineers across Latin America. Built In lists 79 employees, while other directories show 201–500, so its size is unclear. The company works on AI, data engineering, cloud, and mobile, and cites more than 350 delivered projects (per G2 profile; independently unverifiable). U.S. companies that want daily overlap with an outside team at nearshore rates are its main buyers.
Services and capabilities: Capgemini vs Azumo
| Capability | Capgemini | Azumo |
|---|---|---|
| CRM / ERP integration | ✓ | ✗ |
| LLM API gateway & cost control | ✗ | ✓ |
| Document processing | ✗ | ✗ |
| Conversational AI | ✗ | ✓ |
| Agentic workflows | ✓ | ✗ |
| Fixed-price pilot | ✗ | ✗ |
| Managed services after launch | ✓ | ✗ |
Tech stack comparison: Capgemini vs Azumo
| Framework / platform | Capgemini | Azumo |
|---|---|---|
| Salesforce | ✓ | N/A |
| SAP | ✓ | N/A |
| Microsoft Dynamics 365 | ✓ | N/A |
| HubSpot | N/A | N/A |
| Snowflake | N/A | ✓ |
| Databricks | N/A | N/A |
| BigQuery | N/A | N/A |
| Azure OpenAI | ✓ | ✓ |
| AWS Bedrock | N/A | ✓ |
| Zendesk | N/A | N/A |
Pricing comparison: Capgemini vs Azumo
| Criterion | Capgemini | Azumo |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed-scope project, Managed services | Dedicated team, Time & materials |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Capgemini vs Azumo
| Dimension | Capgemini | Azumo |
|---|---|---|
| Best company size | Enterprise | Startup to mid-market |
| Best industries | Manufacturing, Financial services, Insurance | SaaS, Media, Healthcare |
| Best use cases | Agent-assisted accounts payable run as a managed process, AI features in SAP S/4HANA programs | Adding a chat assistant to a SaaS product, Extending an in-house team with LLM engineers |
| Typical project type | Fixed-scope project | Dedicated team |
Capgemini vs Azumo: pros and cons
| Capgemini | |
|---|---|
| + | Can take over an entire process, not just build the integration. |
| + | SAP depth for AI inside finance and supply chain. |
| + | Altran engineering heritage for industrial clients. |
| + | Global delivery for multi-country rollouts. |
| - | Integrating WNS (acquired October 2025) is still under way |
| - | Outsourcing-style contracts are long and heavy for a first AI test |
| - | Pricing is rarely competitive for a single-workflow pilot |
| Azumo | |
|---|---|
| + | Full time-zone overlap with U.S. clients. |
| + | Nearshore rates below U.S. onshore firms. |
| + | Mixes AI work with the app and data engineering around it. |
| - | Team size is reported anywhere from about 80 to 500 |
| - | No platform partner tiers to verify |
| - | No fixed-price pilot or managed-service offer published |
Who should choose Capgemini?
A typical fit: agent-assisted accounts payable run as a managed process.
Business-process outsourcing combined with agentic AI after the WNS deal. Minimum engagement is not publicly disclosed. Works best with clients in Manufacturing, Financial services, Insurance, Energy, Public sector.
Who should choose Azumo?
A typical fit: adding a chat assistant to a SaaS product.
Latin American engineers working U.S. hours. Minimum engagement is not publicly disclosed. Works best with clients in SaaS, Media, Healthcare, Financial services.
Decision matrix: Capgemini vs Azumo
| Your situation | Recommended choice |
|---|---|
| You want a priced pilot before committing to a rollout | Neither advertises one; ask for a scoped pilot quote |
| You need someone to run and monitor the system after launch | Capgemini |
| Your budget is at the lower end | Compare: Capgemini (Not disclosed) vs Azumo (Not disclosed) |
| The AI has to read and write in your CRM or ERP | Capgemini |
| You need multi-step agents acting across systems | Capgemini |
| You need a large team for a multi-year program | Capgemini |
Use case fit: Capgemini vs Azumo
| Use case | Capgemini fit | Azumo fit | Winner |
|---|---|---|---|
| Agent-assisted accounts payable run as a managed process | Strong | Limited | Capgemini |
| AI features in SAP S/4HANA programs | Strong | Limited | Capgemini |
| Adding a chat assistant to a SaaS product | Limited | Strong | Azumo |
| Extending an in-house team with LLM engineers | Limited | Strong | Azumo |
Verdict: Capgemini vs Azumo
Capgemini (4.0/5) is the stronger overall choice for most AI Integration Services projects. Business-process outsourcing combined with agentic AI after the WNS deal.
Azumo (4.0/5) is worth a look if you need extending an in-house team with LLM engineers. If your situation matches that, Azumo is a competitive option.
Related comparisons
Capgemini vs Azumo FAQ
Is Capgemini better than Azumo?
Capgemini (4.0/5) scores higher overall, but "better" depends on your use case. Capgemini's strongest advantage: can take over an entire process, not just build the integration. Azumo's strongest advantage: full time-zone overlap with U.S. clients.
How do Capgemini and Azumo differ in pricing?
Capgemini's pricing: outcome-based BPS contracts, fixed-scope programs, and managed services; rates on request. Azumo's pricing: dedicated teams and time & materials; rates on request. Any hourly bands shown come from Clutch, not a published rate card, so a scoping call is still needed for a project quote.
Which is better for enterprise: Capgemini or Azumo?
Capgemini is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each provider before shortlisting.
What are the main differences between Capgemini and Azumo?
Capgemini's primary differentiator is: business-process outsourcing combined with agentic AI after the WNS deal. Azumo's primary differentiator is: latin American engineers working U.S. hours. They also differ in team size (340,000+ vs 80+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Manufacturing, Financial services vs SaaS, Media).
Verify all details directly with each provider before making a decision.