LTIMindtree vs Deviniti: full comparison for 2026
Quick verdict
LTIMindtree (3.3/5) edges ahead of Deviniti (3.2/5) overall. LTIMindtree is the better choice for enterprises wanting a merged, broad-portfolio Indian IT services group for AI and cloud programs together. Deviniti is the stronger option for teams already on Atlassian tooling wanting AI agent services integrated into that ecosystem. The right choice depends on your project size, budget, and required tech stack.
LTIMindtree vs Deviniti: head-to-head summary
| Criterion | LTIMindtree | Deviniti |
|---|---|---|
| Founded | 1999 | 2004 |
| HQ | Bangalore, India | Wrocław, Poland |
| Team size | 84000 | 201-250 |
| Rating | 3.3 / 5 | 3.2 / 5 |
| Best for | Enterprises wanting a merged, broad-portfolio Indian IT services group for AI and cloud programs together | Teams already on Atlassian tooling wanting AI agent services integrated into that ecosystem |
| Pricing model | Retainer, dedicated team, T&M | Fixed project, dedicated team |
| Min. engagement | $100K | $15K |
| Primary tech stack | AWS, Azure, GCP | AWS, Azure, Python |
| Industries served | Fintech, Manufacturing, Retail, Telecom | SaaS, Manufacturing, Fintech |
LTIMindtree vs Deviniti: 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.
Deviniti
Deviniti was founded on December 13, 2004 in Wrocław, Poland by Piotr Jan Dorosz and Jacek Michał Machata, and now has 250+ employees. The company combines Atlassian-focused consulting and marketplace apps with custom software development, cloud/DevOps, and AI application services on fixed-project or dedicated-team terms.
Services and capabilities: LTIMindtree vs Deviniti
| Capability | LTIMindtree | Deviniti |
|---|---|---|
| Workflow integration | ✓ | ✓ |
| Enterprise automation | ✓ | ✓ |
| Task automation | ✗ | ✓ |
| Agent orchestration | ✗ | ✗ |
| LLM integration | ✗ | ✗ |
| Customer support agents | ✗ | ✗ |
Tech stack comparison: LTIMindtree vs Deviniti
| Framework / platform | LTIMindtree | Deviniti |
|---|---|---|
| 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 | ✓ | N/A |
Pricing comparison: LTIMindtree vs Deviniti
| Criterion | LTIMindtree | Deviniti |
|---|---|---|
| Minimum engagement | $100K | $15K |
| Engagement models | Retainer, Dedicated team, T&M | Fixed project, Dedicated team, Staff augmentation |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: LTIMindtree vs Deviniti
| Dimension | LTIMindtree | Deviniti |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Manufacturing, Retail | SaaS, Manufacturing, Fintech |
| Best use cases | Enterprise AI and cloud service programs, Large-scale digital transformation | Atlassian-integrated workflow agent services, Custom AI application delivery |
| Typical project type | Retainer | Fixed project |
LTIMindtree vs Deviniti: 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 |
| Deviniti | |
|---|---|
| + | 20+ years of operating history with a clear founding date and leadership |
| + | Deep Atlassian ecosystem expertise supports agent service integration into existing workflow tools |
| + | Combines marketplace product development with custom consulting delivery |
| - | Atlassian-ecosystem specialization is a narrower fit for buyers outside that toolchain |
| - | AI application services are a newer addition relative to its two-decade core consulting history |
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 Deviniti?
Deviniti is the right choice for teams already on Atlassian tooling wanting AI agent services integrated into that ecosystem.
Atlassian marketplace-app pedigree gives it unusually deep workflow-tool integration service experience. Minimum engagement starts at $15K. Works best with clients in SaaS, Manufacturing, Fintech.
Decision matrix: LTIMindtree vs Deviniti
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Deviniti |
| You need a large dedicated team for an ongoing programme | LTIMindtree |
| Your budget is at the lower end | Deviniti |
| 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 Deviniti
| Use case | LTIMindtree fit | Deviniti fit | Winner |
|---|---|---|---|
| Enterprise AI and cloud service programs | Strong | Limited | LTIMindtree |
| Large-scale digital transformation | Strong | Limited | LTIMindtree |
| Atlassian-integrated workflow agent services | Limited | Strong | Deviniti |
| Custom AI application delivery | Limited | Strong | Deviniti |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: LTIMindtree vs Deviniti
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.
Deviniti (3.2/5) is the better choice when teams already on Atlassian tooling wanting AI agent services integrated into that ecosystem. If your situation matches those criteria, Deviniti is a competitive option.
Related comparisons
LTIMindtree vs Deviniti FAQ
Is LTIMindtree better than Deviniti?
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. Deviniti is better for teams already on Atlassian tooling wanting AI agent services integrated into that ecosystem.
How do LTIMindtree and Deviniti differ in pricing?
LTIMindtree uses retainer, dedicated team, t&m pricing with a minimum engagement of $100K. Deviniti uses fixed project, dedicated team pricing with a minimum engagement of $15K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: LTIMindtree or Deviniti?
Deviniti 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 Deviniti?
LTIMindtree's primary differentiator is: combines lti's enterprise-systems depth with mindtree's digital-native culture following their 2022 merger. Deviniti's primary differentiator is: atlassian marketplace-app pedigree gives it unusually deep workflow-tool integration service experience. They also differ in team size (84000 vs 201-250), minimum engagement ($100K vs $15K), and primary industries served (Fintech, Manufacturing vs SaaS, Manufacturing).