Infosys vs Grid Dynamics: full comparison for 2026
Quick verdict
Infosys (4.0/5) edges ahead of Grid Dynamics (4.0/5) overall. Infosys is the better choice for global enterprises needing AI services inside a full IT services contract. Grid Dynamics is the stronger option for enterprises wanting a publicly-audited AI advisory and delivery service. The right choice depends on your project size, budget, and required tech stack.
Infosys vs Grid Dynamics: head-to-head summary
| Criterion | Infosys | Grid Dynamics |
|---|---|---|
| Founded | 1981 | 2006 |
| HQ | Bengaluru, India | San Ramon, United States |
| Team size | 330,000+ | 4,800+ |
| Rating | 4.0 / 5 | 4.0 / 5 |
| Primary differentiator | One of the world's largest IT services firms, with a dedicated London-based advisory arm | A Nasdaq listing (GDYN) with quarterly financial disclosure |
| Pricing model | Retainer, enterprise contracting | Dedicated team or retainer |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, AWS, Azure | Python, AWS, Azure |
| Industries served | Financial services, Manufacturing, Retail & e-commerce, Telecom | Retail & e-commerce, Financial services, Manufacturing, Telecom |
Infosys vs Grid Dynamics: overview
Infosys
Infosys was founded in 1981 and is headquartered in Bengaluru, India, employing approximately 330,429 people worldwide as of March 2026. It runs a full suite of enterprise AI advisory services, and its wholly-owned subsidiary Infosys Consulting, founded in 2004 and based in London, gives it a dedicated services arm distinct from the parent's much larger delivery organization.
Grid Dynamics
Grid Dynamics has traded on Nasdaq as GDYN since March 2020, more than a decade after founding in 2006. As of mid-2026 it reported approximately 4,838 personnel across the US, UK, the Netherlands, Mexico, Switzerland, and Central and Eastern Europe. AI advisory services sit alongside its broader AI-powered digital engineering practice, and its public listing gives buyers financial visibility that most services firms on this list simply can't provide.
Services and capabilities: Infosys vs Grid Dynamics
| Capability | Infosys | Grid Dynamics |
|---|---|---|
| AI strategy consulting | ✓ | ✓ |
| Generative AI | ✗ | ✗ |
| Machine learning | ✓ | ✓ |
| Data engineering | ✓ | ✗ |
| MLOps | ✗ | ✓ |
| Fixed-price projects | ✗ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Infosys vs Grid Dynamics
| Framework / platform | Infosys | Grid Dynamics |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | ✓ | ✓ |
| Kubernetes | ✓ | ✓ |
| LangChain | N/A | N/A |
| PyTorch | N/A | N/A |
Pricing comparison: Infosys vs Grid Dynamics
| Criterion | Infosys | Grid Dynamics |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Retainer, Dedicated team | Dedicated team, Retainer |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Infosys vs Grid Dynamics
| Dimension | Infosys | Grid Dynamics |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Manufacturing, Retail & e-commerce | Retail & e-commerce, Financial services, Manufacturing |
| Best use cases | Running an AI advisory service as part of a much larger enterprise IT services contract., Needing a globally recognized services provider for board-level procurement approval. | Running an AI strategy service that needs public-company financial due diligence., Pairing AI advisory services with MLOps infrastructure work to get models into production. |
| Typical project type | Retainer | Dedicated team |
Infosys vs Grid Dynamics: pros and cons
| Infosys | |
|---|---|
| + | Massive global scale, 330,000-plus employees, supports the largest enterprise AI service programs. |
| + | The dedicated Infosys Consulting subsidiary adds a London-based advisory layer. |
| + | Four decades of operating history and deep enterprise procurement relationships. |
| + | Service partnerships span multiple cloud platforms, avoiding lock-in. |
| - | AI services are one part of an enormous general IT services business, not a specialized focus |
| - | Scale generally means slower service setup than a smaller, more agile firm |
| Grid Dynamics | |
|---|---|
| + | A Nasdaq listing gives enterprise procurement direct access to audited financial statements. |
| + | Delivery centers span North America, Europe, and Latin America. |
| + | Nearly 5,000 personnel supports several concurrent large advisory and build service programs. |
| + | MLOps and data engineering depth backs the service with production experience, not theory. |
| - | Scale and public-company overhead push minimum engagement sizes above boutique levels |
| - | AI services operate inside a broader digital engineering portfolio rather than as their own standalone offering |
Who should choose Infosys?
A typical fit: running an AI advisory service as part of a much larger enterprise IT services contract.
One of the world's largest IT services firms, with a dedicated London-based advisory arm. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Manufacturing, Retail & e-commerce, Telecom.
Who should choose Grid Dynamics?
A typical fit: running an AI strategy service that needs public-company financial due diligence.
A Nasdaq listing (GDYN) with quarterly financial disclosure. Minimum engagement is not publicly disclosed. Works best with clients in Retail & e-commerce, Financial services, Manufacturing, Telecom.
Decision matrix: Infosys vs Grid Dynamics
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | Infosys |
| Your budget is at the lower end | Compare: Infosys (Not disclosed) vs Grid Dynamics (Not disclosed) |
| You need specialist depth in a specific vertical | Infosys |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Infosys |
Use case fit: Infosys vs Grid Dynamics
| Use case | Infosys fit | Grid Dynamics fit | Winner |
|---|---|---|---|
| Running an AI advisory service as part of a much larger enterprise IT services contract. | Strong | Strong | Both equally |
| Needing a globally recognized services provider for board-level procurement approval. | Strong | Limited | Infosys |
| Running an AI strategy service that needs public-company financial due diligence. | Strong | Strong | Both equally |
| Pairing AI advisory services with MLOps infrastructure work to get models into production. | Strong | Strong | Both equally |
| Fixed-price project | Limited | Limited | Both equally |
| Dedicated team model | Limited | Limited | Both equally |
Verdict: Infosys vs Grid Dynamics
Infosys (4.0/5) is the stronger overall choice for most AI Consulting projects. One of the world's largest IT services firms, with a dedicated London-based advisory arm.
Grid Dynamics (4.0/5) is worth a look if you need pairing AI advisory services with MLOps infrastructure work to get models into production. If your situation matches that, Grid Dynamics is a competitive option.
Related comparisons
Infosys vs Grid Dynamics FAQ
Is Infosys better than Grid Dynamics?
Infosys (4.0/5) scores higher overall, but "better" depends on your use case. Infosys's strongest advantage: massive global scale, 330,000-plus employees, supports the largest enterprise AI service programs. Grid Dynamics's strongest advantage: a Nasdaq listing gives enterprise procurement direct access to audited financial statements.
How do Infosys and Grid Dynamics differ in pricing?
Infosys uses retainer, enterprise contracting pricing. Grid Dynamics uses dedicated team or retainer pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Infosys or Grid Dynamics?
Infosys is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each firm before shortlisting.
What are the main differences between Infosys and Grid Dynamics?
Infosys's primary differentiator is: one of the world's largest IT services firms, with a dedicated London-based advisory arm. Grid Dynamics's primary differentiator is: a Nasdaq listing (GDYN) with quarterly financial disclosure. They also differ in team size (330,000+ vs 4,800+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Manufacturing vs Retail & e-commerce, Financial services).
Verify all details directly with each firm before making a decision.