LTIMindtree vs Infosys: full comparison for 2026
Quick verdict
LTIMindtree (3.3/5) edges ahead of Infosys (3.1/5) overall. LTIMindtree is the better choice for enterprises wanting a merged, broad-portfolio Indian IT services group for AI and cloud programs together. Infosys is the stronger option for enterprises wanting a large, named library of pre-built agents backed by a Google Cloud partnership. The right choice depends on your project size, budget, and required tech stack.
LTIMindtree vs Infosys: head-to-head summary
| Criterion | LTIMindtree | Infosys |
|---|---|---|
| Founded | 1999 | 1981 |
| HQ | Bangalore, India | Bangalore, India |
| Team size | 84000 | 300000 |
| Rating | 3.3 / 5 | 3.1 / 5 |
| Best for | Enterprises wanting a merged, broad-portfolio Indian IT services group for AI and cloud programs together | Enterprises wanting a large, named library of pre-built agents backed by a Google Cloud partnership |
| Pricing model | Retainer, dedicated team, T&M | Retainer, dedicated team, T&M |
| Min. engagement | $100K | $150K |
| Primary tech stack | AWS, Azure, GCP | GCP, AWS, Azure |
| Industries served | Fintech, Manufacturing, Retail, Telecom | Fintech, Retail, Telecom, Manufacturing |
LTIMindtree vs Infosys: overview
LTIMindtree
LTIMindtree was formed in November 2022 through the merger of Larsen & Toubro Infotech (LTI) and Mindtree, with Mindtree itself founded on August 18, 1999. The company is headquartered in Bangalore/Mumbai, India, with over 84,000 professionals across 30+ countries, offering AI and cognitive services, cloud infrastructure, and platform-based solutions on retainer or dedicated-team terms.
Infosys
Infosys was founded in 1981 by seven co-founders including N.R. Narayana Murthy and is headquartered in Bangalore, India, with over 300,000 employees. The firm launched more than 200 enterprise AI agents through its Infosys Topaz AI offerings in partnership with Google Cloud's Vertex AI Platform, and its Agentic Foundry delivers pre-built agents, open frameworks, and responsible AI tools on retainer or dedicated-team terms.
Services and capabilities: LTIMindtree vs Infosys
| Capability | LTIMindtree | Infosys |
|---|---|---|
| Workflow integration | ✓ | ✗ |
| Enterprise automation | ✓ | ✓ |
| Task automation | ✗ | ✗ |
| Agent orchestration | ✗ | ✗ |
| LLM integration | ✗ | ✓ |
| Customer support agents | ✗ | ✗ |
Tech stack comparison: LTIMindtree vs Infosys
| Framework / platform | LTIMindtree | Infosys |
|---|---|---|
| LangChain | N/A | N/A |
| LangGraph | N/A | N/A |
| AutoGen | N/A | N/A |
| LlamaIndex | N/A | N/A |
| OpenAI | N/A | N/A |
| Anthropic Claude | N/A | N/A |
| Pinecone | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | ✓ | ✓ |
Pricing comparison: LTIMindtree vs Infosys
| Criterion | LTIMindtree | Infosys |
|---|---|---|
| Minimum engagement | $100K | $150K |
| Engagement models | Retainer, Dedicated team, T&M | Retainer, Dedicated team, T&M |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: LTIMindtree vs Infosys
| Dimension | LTIMindtree | Infosys |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Manufacturing, Retail | Fintech, Retail, Telecom |
| Best use cases | Enterprise AI and cloud service programs, Large-scale digital transformation | Pre-built enterprise agent deployment (Topaz), Google Cloud Vertex AI agent integration |
| Typical project type | Retainer | Retainer |
LTIMindtree vs Infosys: pros and cons
| LTIMindtree | |
|---|---|
| + | Combines two established firms' histories (LTI enterprise systems + Mindtree digital) since the 2022 merger |
| + | 84,000+ professionals across 30+ countries support large distributed programs |
| + | Broad service portfolio spans AI/ML, cloud, IoT, and cybersecurity in one vendor |
| - | Post-merger integration (since 2022) is relatively recent, which can affect team continuity on some engagements |
| - | High minimum engagement limits accessibility for smaller buyers |
| Infosys | |
|---|---|
| + | 45+ years of enterprise IT services history |
| + | 200+ pre-built enterprise agents (Topaz) already launched, backed by a named Google Cloud partnership |
| + | 300,000+ employees support the largest, most complex global service programs |
| - | Very high minimum engagement puts it out of reach for all but the largest enterprise buyers |
| - | Massive scale means minimal boutique-style senior-partner attention on individual engagements |
Who should choose LTIMindtree?
LTIMindtree is the right choice for enterprises wanting a merged, broad-portfolio Indian IT services group for AI and cloud programs together.
Combines LTI's enterprise-systems depth with Mindtree's digital-native culture following their 2022 merger. Minimum engagement starts at $100K. Works best with clients in Fintech, Manufacturing, Retail, Telecom.
Who should choose Infosys?
Infosys is the right choice for enterprises wanting a large, named library of pre-built agents backed by a Google Cloud partnership.
200+ named enterprise AI agents already launched via Topaz, built on Google Cloud's Vertex AI Platform. Minimum engagement starts at $150K. Works best with clients in Fintech, Retail, Telecom, Manufacturing.
Decision matrix: LTIMindtree vs Infosys
| 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 | LTIMindtree |
| Your budget is at the lower end | LTIMindtree |
| You need specialist depth in a specific vertical | LTIMindtree |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: LTIMindtree vs Infosys
| Use case | LTIMindtree fit | Infosys fit | Winner |
|---|---|---|---|
| Enterprise AI and cloud service programs | Strong | Strong | Both equally |
| Large-scale digital transformation | Strong | Strong | Both equally |
| Pre-built enterprise agent deployment (Topaz) | Limited | Strong | Infosys |
| Google Cloud Vertex AI agent integration | Limited | Strong | Infosys |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: LTIMindtree vs Infosys
LTIMindtree (3.3/5) is the stronger overall choice for most AI Agent Development projects. Combines LTI's enterprise-systems depth with Mindtree's digital-native culture following their 2022 merger. It is best for enterprises wanting a merged, broad-portfolio Indian IT services group for AI and cloud programs together.
Infosys (3.1/5) is the better choice when enterprises wanting a large, named library of pre-built agents backed by a Google Cloud partnership. If your situation matches those criteria, Infosys is a competitive option.
Related comparisons
LTIMindtree vs Infosys FAQ
Is LTIMindtree better than Infosys?
LTIMindtree (3.3/5) scores higher overall, but "better" depends on your use case. LTIMindtree is better for enterprises wanting a merged, broad-portfolio Indian IT services group for AI and cloud programs together. Infosys is better for enterprises wanting a large, named library of pre-built agents backed by a Google Cloud partnership.
How do LTIMindtree and Infosys differ in pricing?
LTIMindtree uses retainer, dedicated team, t&m pricing with a minimum engagement of $100K. Infosys uses retainer, dedicated team, t&m pricing with a minimum engagement of $150K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: LTIMindtree or Infosys?
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 provider before shortlisting.
What are the main differences between LTIMindtree and Infosys?
LTIMindtree's primary differentiator is: combines lti's enterprise-systems depth with mindtree's digital-native culture following their 2022 merger. Infosys's primary differentiator is: 200+ named enterprise ai agents already launched via topaz, built on google cloud's vertex ai platform. They also differ in team size (84000 vs 300000), minimum engagement ($100K vs $150K), and primary industries served (Fintech, Manufacturing vs Fintech, Retail).