Tiger Analytics Company Profile
Background
Overview
Founded in 2011, Tiger Analytics is a leading provider of artificial intelligence (AI) and advanced analytics consulting services. The company specializes in developing bespoke solutions powered by data and technology, assisting organizations globally in solving complex business challenges. With a client base that includes several Fortune 100 companies, Tiger Analytics has established itself as a trusted partner in the AI and analytics domain.
Mission and Vision
Tiger Analytics is committed to pioneering the application of AI and analytics to address some of the most challenging problems faced by organizations worldwide. The company's mission is to provide certainty in an increasingly complex and volatile world by enabling clients to navigate uncertainty and make informed decisions through data-driven insights.
Industry Significance
Operating at the intersection of AI, machine learning, and data analytics, Tiger Analytics plays a pivotal role in transforming enterprises into data-driven organizations. By leveraging advanced analytics, the company helps clients enhance operational efficiency, improve customer experiences, and drive innovation across various industries.
Key Strategic Focus
Core Objectives
Tiger Analytics focuses on delivering measurable business value through data and technology. The company's core objectives include:
- Strategy and Advisory: Developing analytics roadmaps, data strategies, and platform strategies to guide clients in their data-driven transformation journeys.
- Data Engineering: Modernizing data infrastructures, establishing robust data foundations, and ensuring efficient data operations.
- AI and Machine Learning: Providing data science expertise, AI engineering, and developing machine learning products and platforms.
- Operationalizing Insights: Offering experience consulting, application engineering, business intelligence, and machine learning operations (MLOps) to translate insights into actionable outcomes.
Areas of Specialization
Tiger Analytics specializes in various domains, including:
- Marketing Analytics: Enhancing marketing strategies through data-driven insights.
- Customer Analytics: Understanding customer behaviors and preferences to improve engagement.
- Operations and Planning Analytics: Optimizing operational processes and strategic planning.
- Risk Analytics: Identifying and mitigating potential risks through predictive modeling.
Key Technologies Utilized
The company employs a range of advanced technologies, including:
- Big Data Processing: Utilizing platforms like Amazon EMR for large-scale data processing.
- Cloud Services: Implementing solutions on platforms such as Azure Active Directory.
- Programming Languages: Developing solutions using languages like C# and Scala.
- Web Technologies: Leveraging tools like Cloudflare CDN and Apache for web services.
Primary Markets Targeted
Tiger Analytics serves a diverse range of industries, including:
- Retail and Consumer Packaged Goods (CPG)
- Insurance
- Manufacturing
- Transportation and Logistics
- Healthcare
The company has a significant presence in the United States, accounting for approximately 80% of its business, with growing operations in the Asia-Pacific region and Europe.
Financials and Funding
Revenue
As of January 2025, Tiger Analytics reported an estimated annual revenue of $750 million.
Funding History
Tiger Analytics has been fully bootstrapped since its inception, maintaining profitability in every quarter. The company is exploring options for external funding through an initial public offering (IPO) or private equity to fuel its next phase of growth, including potential acquisitions and geographic expansion.
Technological Platform and Innovation
Proprietary Technologies
Tiger Analytics offers a suite of proprietary accelerators and foundations designed to expedite AI development. These modular components, akin to Lego blocks, enable rapid deployment of AI solutions, ensuring scalability and quality.
Significant Scientific Methods
The company employs advanced AI technologies, including:
- Natural Language Processing (NLP): Enhancing understanding and processing of human language.
- Computer Vision: Interpreting and analyzing visual data.
- Generative AI (GenAI): Creating new content and solutions through AI models.
Leadership Team
- Mahesh Kumar: Founder & Chief Executive Officer
- Pradeep Gulipalli: Co-founder & Chief Executive - India
- Kishor Gummaraju: Chief Customer Officer
- Sam Ramachandran: Chief Sales Officer
These leaders bring extensive experience in AI, analytics, and business strategy, driving the company's growth and innovation.
Leadership Changes
In July 2023, Tiger Analytics appointed Radhakrishnan Rajagopalan as Head of Data Engineering and Technology Practices, enhancing the company's expertise in data engineering and technology.
Competitor Profile
Market Insights and Dynamics
The AI and analytics consulting industry is experiencing rapid growth, driven by increased digital adoption and the need for data-driven decision-making across sectors. Companies are investing heavily in AI and analytics to gain competitive advantages, optimize operations, and enhance customer experiences.
Competitor Analysis
Key competitors include:
- Mu Sigma
