Addepto vs Capgemini: full comparison for 2026
Quick verdict
Addepto (4.2/5) edges ahead of Capgemini (3.9/5) overall. Addepto is the better choice for mid-size firms wanting tested LLM apps cheaply. Capgemini is the stronger option for european multinationals pairing AI with outsourcing. The right choice depends on how far your pilot has got, your budget, and who will run the system after launch.
Addepto vs Capgemini: head-to-head summary
| Criterion | Addepto | Capgemini |
|---|---|---|
| Founded | 2017 | 1967 |
| HQ | Warsaw, Poland | Paris, France |
| Team size | 50–249 | 340,000+ |
| Rating | 4.2 / 5 | 3.9 / 5 |
| Primary differentiator | Open-source LLM testing (ContextCheck) and a low $10,000+ Clutch entry point | Production AI bundled with outsourced business operations after the WNS deal |
| Pricing model | Project-based; $50–$99/hr (Clutch band) | Program fees and managed services; rates not published |
| Min. engagement | $10,000+ (Clutch) | Not disclosed |
| Primary tech stack | Databricks, Azure, AWS | Azure, AWS, Google Cloud |
| Industries served | Manufacturing, Aviation, Logistics, Retail, Financial services | Financial services, Manufacturing, Public sector, Retail, Energy & utilities |
Addepto vs Capgemini: overview
Addepto
Addepto was founded in Warsaw in 2017 and was acquired in December 2025 by KMS Technology, an Atlanta engineering company backed by Sunstone Partners. It built ContextCheck, an open-source framework for testing language models and chatbots, which says something about how it approaches quality before release. Its chief executive says 97% of staff are AI engineers (per company website; independently unverifiable). Clutch lists $50–$99 an hour and a $10,000+ minimum project.
Capgemini
Capgemini was founded in Grenoble in 1967, is headquartered in Paris, and employs more than 340,000 people. In October 2025 it completed its acquisition of WNS, adding business process services that it plans to run with AI agents. Production AI here is usually part of a large program that includes process redesign and outsourced operations. It's a strong fit for European multinationals and a poor one for a single pilot.
Services and capabilities: Addepto vs Capgemini
| Capability | Addepto | Capgemini |
|---|---|---|
| LLM gateway & model routing | ✗ | ✗ |
| Regression tests on prompt and model changes | ✓ | ✗ |
| Canary or staged rollout | ✗ | ✗ |
| Hallucination and drift monitoring | ✗ | ✗ |
| MLOps & model serving | ✓ | ✗ |
| Fixed-scope pilot | ✗ | ✗ |
| Managed run after launch | ✗ | ✓ |
Tech stack comparison: Addepto vs Capgemini
| Framework / platform | Addepto | Capgemini |
|---|---|---|
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | N/A | ✓ |
| Kubernetes | N/A | N/A |
| MLflow | N/A | N/A |
| Databricks | ✓ | N/A |
| Amazon Bedrock | N/A | N/A |
| Vertex AI | N/A | N/A |
| LangChain | ✓ | N/A |
| Snowflake | N/A | N/A |
Pricing comparison: Addepto vs Capgemini
| Criterion | Addepto | Capgemini |
|---|---|---|
| Minimum engagement | $10,000+ (Clutch) | Not disclosed |
| Engagement models | Fixed-scope project, Time & materials, Dedicated team | Time & materials, Managed services |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: Addepto vs Capgemini
| Dimension | Addepto | Capgemini |
|---|---|---|
| Best company size | Startup to mid-market | Enterprise |
| Best industries | Manufacturing, Aviation, Logistics | Financial services, Manufacturing, Public sector |
| Best use cases | Testing a chatbot or LLM app before release., AI on manufacturing and aviation data. | AI agents inside outsourced finance and customer operations., Production AI on SAP for European manufacturers. |
| Typical project type | Fixed-scope project | Time & materials |
Addepto vs Capgemini: pros and cons
| Addepto | |
|---|---|
| + | ContextCheck shows real investment in testing language models |
| + | A $10,000+ Clutch minimum makes a small first project possible |
| + | Databricks experience for data-heavy builds |
| + | Team is almost all engineers |
| - | Acquired by KMS Technology in December 2025, so teams and priorities may change |
| - | No managed-run service listed |
| - | Less depth on staged rollouts than the leaders |
| Capgemini | |
|---|---|
| + | Can run AI-assisted business operations as a managed service |
| + | Wide European footprint |
| + | Deep SAP and enterprise platform experience |
| - | WNS integration (completed October 2025) is still in progress |
| - | Not set up for small, fast pilots |
| - | Rates not published |
Who should choose Addepto?
A typical fit: testing a chatbot or LLM app before release.
Open-source LLM testing (ContextCheck) and a low $10,000+ Clutch entry point. Minimum engagement starts at $10,000+ (Clutch). Works best with clients in Manufacturing, Aviation, Logistics, Retail, Financial services.
Who should choose Capgemini?
A typical fit: AI agents inside outsourced finance and customer operations.
Production AI bundled with outsourced business operations after the WNS deal. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Manufacturing, Public sector, Retail, Energy & utilities.
Decision matrix: Addepto vs Capgemini
| Your situation | Recommended choice |
|---|---|
| Your pilot works but nobody trusts it in production yet | Ask each for its release and rollback process |
| Model API spend is growing faster than usage | Neither lists a gateway; ask how cost per feature is tracked |
| You need someone to watch quality after launch | Capgemini |
| You run classic ML models that need serving and retraining | Addepto |
| You want a priced pilot before a full rollout | Neither advertises one; ask for a scoped quote |
| Your budget is at the lower end | Compare: Addepto ($10,000+ (Clutch)) vs Capgemini (Not disclosed) |
| You need a large team for many products at once | Capgemini |
Use case fit: Addepto vs Capgemini
| Use case | Addepto fit | Capgemini fit | Winner |
|---|---|---|---|
| Testing a chatbot or LLM app before release. | Strong | Limited | Addepto |
| AI on manufacturing and aviation data. | Strong | Limited | Addepto |
| AI agents inside outsourced finance and customer operations. | Limited | Strong | Capgemini |
| Production AI on SAP for European manufacturers. | Limited | Strong | Capgemini |
Verdict: Addepto vs Capgemini
Addepto (4.2/5) is the stronger overall choice for most AI Implementation projects. Open-source LLM testing (ContextCheck) and a low $10,000+ Clutch entry point.
Capgemini (3.9/5) is worth a look if you need production AI on SAP for European manufacturers. If your situation matches that, Capgemini is a competitive option.
Related comparisons
Addepto vs Capgemini FAQ
Is Addepto better than Capgemini?
Addepto (4.2/5) scores higher overall, but "better" depends on your use case. Addepto's strongest advantage: ContextCheck shows real investment in testing language models. Capgemini's strongest advantage: can run AI-assisted business operations as a managed service.
How do Addepto and Capgemini differ in pricing?
Addepto's pricing: project-based; $50–$99/hr (Clutch band) with a minimum engagement of $10,000+ (Clutch). Capgemini's pricing: program fees and managed services; rates not published. 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: Addepto 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 Addepto and Capgemini?
Addepto's primary differentiator is: open-source LLM testing (ContextCheck) and a low $10,000+ Clutch entry point. Capgemini's primary differentiator is: production AI bundled with outsourced business operations after the WNS deal. They also differ in team size (50–249 vs 340,000+), minimum engagement ($10,000+ (Clutch) vs Not disclosed), and primary industries served (Manufacturing, Aviation vs Financial services, Manufacturing).
Verify all details directly with each provider before making a decision.