Quantiphi vs Capgemini: full comparison for 2026
Quick verdict
Quantiphi (4.3/5) edges ahead of Capgemini (4.0/5) overall. Quantiphi is the better choice for large document-heavy programs on Google Cloud or AWS. Capgemini is the stronger option for global firms outsourcing AI-run back-office processes. The right choice depends on your project size, budget, and required tech stack.
Quantiphi vs Capgemini: head-to-head summary
| Criterion | Quantiphi | Capgemini |
|---|---|---|
| Founded | 2013 | 1967 |
| HQ | Marlborough, MA, USA | Paris, France |
| Team size | 3,500+ | 340,000+ |
| Rating | 4.3 / 5 | 4.0 / 5 |
| Primary differentiator | Partner-of-the-year history with both Google Cloud and AWS on AI work | Business-process outsourcing combined with agentic AI after the WNS deal |
| Pricing model | Fixed-scope projects, time & materials, and dedicated teams; rates on request | Outcome-based BPS contracts, fixed-scope programs, and managed services; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Vertex AI, AWS Bedrock, Snowflake | SAP, Salesforce, Microsoft Dynamics 365 |
| Industries served | Healthcare, Insurance, Financial services, Public sector, Media | Manufacturing, Financial services, Insurance, Energy, Public sector |
Quantiphi vs Capgemini: overview
Quantiphi
Quantiphi was founded in 2013, is headquartered in Marlborough, Massachusetts, and employs over 3,500 people, most of them in India. It reports 21 Google Cloud Partner of the Year awards over ten years and three AWS AI/ML Partner of the Year awards (per company materials; independently unverifiable). Document AI, contact-center AI, and healthcare and insurance workflows make up much of its integration work. Its size lets it staff large programs while still working only on AI and data.
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.
Services and capabilities: Quantiphi vs Capgemini
| Capability | Quantiphi | Capgemini |
|---|---|---|
| CRM / ERP integration | ✗ | ✓ |
| LLM API gateway & cost control | ✗ | ✗ |
| Document processing | ✓ | ✗ |
| Conversational AI | ✓ | ✗ |
| Agentic workflows | ✗ | ✓ |
| Fixed-price pilot | ✗ | ✗ |
| Managed services after launch | ✗ | ✓ |
Tech stack comparison: Quantiphi vs Capgemini
| Framework / platform | Quantiphi | Capgemini |
|---|---|---|
| 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 |
| Azure OpenAI | N/A | ✓ |
| AWS Bedrock | ✓ | N/A |
| Zendesk | N/A | N/A |
Pricing comparison: Quantiphi vs Capgemini
| Criterion | Quantiphi | Capgemini |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed-scope project, Time & materials, Dedicated team | Fixed-scope project, Managed services |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Quantiphi vs Capgemini
| Dimension | Quantiphi | Capgemini |
|---|---|---|
| Best company size | Mid-market to enterprise | Enterprise |
| Best industries | Healthcare, Insurance, Financial services | Manufacturing, Financial services, Insurance |
| Best use cases | Claims and medical-record extraction for insurers, Contact-center assistants on Google Cloud | Agent-assisted accounts payable run as a managed process, AI features in SAP S/4HANA programs |
| Typical project type | Fixed-scope project | Fixed-scope project |
Quantiphi vs Capgemini: pros and cons
| Quantiphi | |
|---|---|
| + | Partner depth on two hyperscalers instead of one. |
| + | Document AI and contact-center AI are mature practice areas. |
| + | Enough staff to run several workstreams in parallel. |
| + | A multi-year Google Cloud partnership announced in 2026 covers joint industry solutions. |
| - | Most delivery is offshore, so time-zone overlap with U.S. or EU teams is partial |
| - | Fixed-price pilots aren't advertised as a standard entry point |
| - | Award counts come from the company itself |
| 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 |
Who should choose Quantiphi?
A typical fit: claims and medical-record extraction for insurers.
Partner-of-the-year history with both Google Cloud and AWS on AI work. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Insurance, Financial services, Public sector, Media.
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.
Decision matrix: Quantiphi vs Capgemini
| 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: Quantiphi (Not disclosed) vs Capgemini (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: Quantiphi vs Capgemini
| Use case | Quantiphi fit | Capgemini fit | Winner |
|---|---|---|---|
| Claims and medical-record extraction for insurers | Strong | Limited | Quantiphi |
| Contact-center assistants on Google Cloud | Strong | Limited | Quantiphi |
| Agent-assisted accounts payable run as a managed process | Limited | Strong | Capgemini |
| AI features in SAP S/4HANA programs | Limited | Strong | Capgemini |
Verdict: Quantiphi vs Capgemini
Quantiphi (4.3/5) is the stronger overall choice for most AI Integration Services projects. Partner-of-the-year history with both Google Cloud and AWS on AI work.
Capgemini (4.0/5) is worth a look if you need AI features in SAP S/4HANA programs. If your situation matches that, Capgemini is a competitive option.
Related comparisons
Quantiphi vs Capgemini FAQ
Is Quantiphi better than Capgemini?
Quantiphi (4.3/5) scores higher overall, but "better" depends on your use case. Quantiphi's strongest advantage: partner depth on two hyperscalers instead of one. Capgemini's strongest advantage: can take over an entire process, not just build the integration.
How do Quantiphi and Capgemini differ in pricing?
Quantiphi's pricing: fixed-scope projects, time & materials, and dedicated teams; rates on request. Capgemini's pricing: outcome-based BPS contracts, fixed-scope programs, and managed services; 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: Quantiphi or Capgemini?
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 Quantiphi and Capgemini?
Quantiphi's primary differentiator is: partner-of-the-year history with both Google Cloud and AWS on AI work. Capgemini's primary differentiator is: business-process outsourcing combined with agentic AI after the WNS deal. They also differ in team size (3,500+ vs 340,000+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Healthcare, Insurance vs Manufacturing, Financial services).
Verify all details directly with each provider before making a decision.