Neurons Lab vs Capgemini: full comparison for 2026
Quick verdict
Neurons Lab (4.5/5) edges ahead of Capgemini (4.0/5) overall. Neurons Lab is the better choice for banks and insurers piloting AI agents. 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.
Neurons Lab vs Capgemini: head-to-head summary
| Criterion | Neurons Lab | Capgemini |
|---|---|---|
| Founded | 2019 | 1967 |
| HQ | London, UK | Paris, France |
| Team size | 50–249 | 340,000+ |
| Rating | 4.5 / 5 | 4.0 / 5 |
| Primary differentiator | AWS Generative AI competency combined with a financial-services client base | Business-process outsourcing combined with agentic AI after the WNS deal |
| Pricing model | Fixed-scope discovery and pilots, then time & materials; 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 | AWS Bedrock, Amazon SageMaker, LangChain | SAP, Salesforce, Microsoft Dynamics 365 |
| Industries served | Financial services, Insurance, Healthcare | Manufacturing, Financial services, Insurance, Energy, Public sector |
Neurons Lab vs Capgemini: overview
Neurons Lab
Founded in 2019 and based in London with a second office in Singapore, Neurons Lab is a small AI consultancy of roughly 50–250 people that draws on a wider contractor network. In March 2024 it became one of the first firms to earn the AWS Generative AI competency, and it's an AWS Advanced Tier partner. Its work skews toward banks and insurers that want agents running inside existing compliance controls; HSBC and Visa appear as named clients in third-party listings (independently unverifiable). The firm is smaller than most of this list, but its regulated-industry experience is unusually concentrated for its size.
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: Neurons Lab vs Capgemini
| Capability | Neurons Lab | 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: Neurons Lab vs Capgemini
| Framework / platform | Neurons Lab | Capgemini |
|---|---|---|
| Salesforce | ✓ | ✓ |
| SAP | N/A | ✓ |
| Microsoft Dynamics 365 | N/A | ✓ |
| HubSpot | N/A | N/A |
| Snowflake | N/A | N/A |
| Databricks | N/A | N/A |
| BigQuery | N/A | N/A |
| Azure OpenAI | N/A | ✓ |
| AWS Bedrock | ✓ | N/A |
| Zendesk | N/A | N/A |
Pricing comparison: Neurons Lab vs Capgemini
| Criterion | Neurons Lab | Capgemini |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed-scope project, Time & materials | Fixed-scope project, Managed services |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Neurons Lab vs Capgemini
| Dimension | Neurons Lab | Capgemini |
|---|---|---|
| Best company size | Startup to mid-market | Enterprise |
| Best industries | Financial services, Insurance, Healthcare | Manufacturing, Financial services, Insurance |
| Best use cases | An agent that prepares KYC (know your customer) case files for an analyst to approve, Claims triage assistants that read policy documents | 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 |
Neurons Lab vs Capgemini: pros and cons
| Neurons Lab | |
|---|---|
| + | Among the earliest holders of the AWS Generative AI competency, announced March 2024. |
| + | Most case work comes from banking and insurance, where audit trails and approvals are part of the spec. |
| + | Senior consultants run delivery directly on a team this size. |
| + | AWS Public Sector Partner status since September 2024 opens government procurement routes. |
| - | Its client work is concentrated in finance, so references in manufacturing or retail are thin |
| - | Headcount figures conflict between sources, and part of the bench is contracted |
| - | No managed-service option is described for after go-live |
| 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 Neurons Lab?
A typical fit: an agent that prepares KYC (know your customer) case files for an analyst to approve.
AWS Generative AI competency combined with a financial-services client base. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Insurance, Healthcare.
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: Neurons Lab 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: Neurons Lab (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 | Both build agentic workflows |
| You need a large team for a multi-year program | Capgemini |
Use case fit: Neurons Lab vs Capgemini
| Use case | Neurons Lab fit | Capgemini fit | Winner |
|---|---|---|---|
| An agent that prepares KYC (know your customer) case files for an analyst to approve | Strong | Limited | Neurons Lab |
| Claims triage assistants that read policy documents | Strong | Limited | Neurons Lab |
| Agent-assisted accounts payable run as a managed process | Limited | Strong | Capgemini |
| AI features in SAP S/4HANA programs | Limited | Strong | Capgemini |
Verdict: Neurons Lab vs Capgemini
Neurons Lab (4.5/5) is the stronger overall choice for most AI Integration Services projects. AWS Generative AI competency combined with a financial-services client base.
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
Neurons Lab vs Capgemini FAQ
Is Neurons Lab better than Capgemini?
Neurons Lab (4.5/5) scores higher overall, but "better" depends on your use case. Neurons Lab's strongest advantage: among the earliest holders of the AWS Generative AI competency, announced March 2024. Capgemini's strongest advantage: can take over an entire process, not just build the integration.
How do Neurons Lab and Capgemini differ in pricing?
Neurons Lab's pricing: fixed-scope discovery and pilots, then time & materials; 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: Neurons Lab 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 Neurons Lab and Capgemini?
Neurons Lab's primary differentiator is: AWS Generative AI competency combined with a financial-services client base. Capgemini's primary differentiator is: business-process outsourcing combined with agentic AI after the WNS deal. They also differ in team size (50–249 vs 340,000+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Insurance vs Manufacturing, Financial services).
Verify all details directly with each provider before making a decision.