Global technology consulting firm providing data engineering, cloud migration, and analytics services at enterprise scale.
LTIMindtree is a global technology consulting and digital solutions company that enables enterprises to reimagine business models, accelerate innovation, and maximize growth through digital technologies. With expertise in domain and technology, they drive competitive differentiation, customer experiences, and business outcomes for over 700 clients worldwide, powered by 86,000+ professionals across 30+ countries.
Our take on MindTree
LTIMindtree (formerly MindTree) brings global enterprise scale to data engineering consulting. As a major technology services company, they possess substantial capacity and methodology for large-scale data transformation programs.
The company's data and analytics practice encompasses data engineering, cloud migration, analytics implementation, and AI/ML services. Their global delivery model enables them to staff major programs while maintaining cost efficiency through geographic optimization.
LTIMindtree's enterprise heritage provides proven methodologies, governance frameworks, and quality assurance practices refined across numerous large engagements. Their experience with Fortune 500 clients demonstrates capability to navigate complex organizational environments.
Their platform partnerships span major cloud providers and data platforms, providing flexibility to implement solutions aligned with client technology strategies rather than forcing specific platform choices.
For large enterprises requiring substantial capacity, proven enterprise methodology, and global delivery flexibility, LTIMindtree offers the scale and reliability that major data transformation programs demand.
Verified credentials and recognition earned by MindTree
Verified
This agency has a verified website presence.
LinkedIn Verified
This agency has a verified LinkedIn company page.
Top Rated
This agency has an exceptional AgencyCluster score of 80+.
15+ Years
Established in 1999. Over 15 years of experience.
Enterprise
Enterprise (500+)
Rankings earned on AgencyCluster
Common questions about MindTree.
MindTree has earned rankings on 3 AgencyCluster lists: Top 25 Data Engineering & Modern Data Stack, Top 10 Data Engineering & Modern Data Stack, Top 50 Data Engineering & Modern Data Stack. Their highest AgencyCluster Score is 92/100. Rankings are merit-based and determined by evidence across six evaluation pillars — agencies cannot pay for higher positions.
In our evaluation for Data Engineering & Modern Data Stack, MindTree scores 92/100 overall. Their strongest areas are Credibility, Proof of Work & Outcomes, Delivery Maturity, Reputation, Category Fit, Freshness. A high Outcomes score means they have verifiable case studies with measurable results — the most heavily weighted factor in our methodology.
MindTree was founded in 1999, giving them over two decades of experience in data engineering & modern data stack. In an industry where many agencies are less than 5 years old, 27+ years of sustained operations signals stability, client retention, and the ability to adapt through multiple technology cycles. Today, the team is enterprise.
Yes. MindTree has been vetted and verified by AgencyCluster's editorial team through a rigorous, multi-factor review process. Unlike self-serve directories, AgencyCluster does not accept automated submissions — every agency is evaluated manually before being published. Our vetting covers identity verification (website, LinkedIn, domain age), business legitimacy (years of operation, team size, registered presence), evidence of work (case studies, portfolio, client outcomes), reputation checks across third-party platforms, activeness and freshness of their online presence, and screening for red flags including misconduct, fraud, or misleading claims. Agencies that fail any critical check are not listed. For MindTree, verified signals include a functioning website, LinkedIn company profile, 27+ years of operating history (founded 1999), 3 earned rankings on curated top lists.
