The AI landscape in 2025 is being shaped less by theoretical breakthroughs and more by real-world execution—applied progress, enterprise deployments, and operational decisions that define how businesses harness intelligence at scale. In this context, leadership plays a decisive role. AIM Research has identified 20 CEOs who are not only embracing AI but also driving tangible enterprise impact across industries and geographies.
A Shift Toward Applied AI
The AI ecosystem has matured beyond experimental proofs of concept. Today, the focus is on product rollouts, process re-engineering, and trust-building in automation. Leaders recognized by AIM Research are at the forefront of this shift, demonstrating how AI can solve pressing business challenges in financial services, manufacturing, consumer goods, healthcare, and pharmaceuticals.
Operational Leadership Across Industries
From enterprise software and analytics consulting to healthcare and observability platforms, these CEOs have delivered measurable results. Their companies have launched new AI platforms, integrated agentic systems, and achieved enterprise-scale adoption of AI capabilities. Many operate from India—one of the world’s most dynamic AI ecosystems—while others lead global operations from the United States and Europe.
Anshuman Bhar – Aays
Anshuman Bhar, CEO and Founder of Aays, leads with a vision to embed decision intelligence across enterprises. With over a decade in consulting, banking, and corporate leadership, he emphasizes practical and scalable AI adoption. Under his leadership, Aays partners with Fortune 1000 firms in consumer goods and manufacturing, helping organizations integrate AI into core decision-making processes.
Babu Krishnaswamy – KANINI
As CEO of KANINI, Babu Krishnaswamy champions responsible and accessible AI solutions. With a mission rooted in adding value, he has positioned the company as a trusted partner for enterprises navigating complex IT landscapes. His leadership emphasizes governance, compliance, and resilience, enabling organizations to automate processes, transform customer experiences, and unlock growth with AI-powered solutions.
Jaswinder Chadha – Axtria
Jaswinder (Jassi) Chadha, Founder and CEO of Axtria, has revolutionized life sciences through AI-driven products. A strong advocate of data-led decision-making, he has established Axtria as a global leader in cloud-based pharmaceutical management. His leadership ensures that AI drives improved patient outcomes and commercial efficiency, making him a transformative force in life sciences and healthcare technology.
Jonathan Ross – Groq Inc
Jonathan Ross, Founder and CEO of Groq, is a pioneer in AI hardware innovation. Known for initiating Google’s TPU project, he has since launched Groq’s groundbreaking Language Processing Unit (LPU), delivering unmatched inference speed. His focus on pushing computational limits has made Groq a key enabler of large-scale AI applications, setting new benchmarks in performance and scalability.
Krishna Gade – Fiddler AI
Krishna Gade, Co-founder and CEO of Fiddler AI, is a leading advocate for transparency and trust in artificial intelligence. Having witnessed the challenges of opaque AI systems at global tech firms, he created Fiddler to provide observability and security. Today, the company helps enterprises monitor, explain, and protect AI systems, ensuring ethical, compliant, and trustworthy deployment at scale.
Katie Stein – IGT Solutions
Katie Stein, CEO of IGT Solutions, is driving AI-led transformation in business process management and digital services. With deep expertise from her tenure at Genpact and global consulting experience, she is steering IGT toward becoming a trusted partner for clients worldwide. Her strategic leadership emphasizes growth, digitization, and market leadership, making her a catalyst for industry-wide innovation.
Mahesh Kumar – Tiger Analytics
Mahesh Kumar, Founder and CEO of Tiger Analytics, envisioned the potential of AI long before its mainstream adoption. His background in management science and research has shaped Tiger into a global leader in analytics consulting. With operations spanning the US, Europe, and Asia, Mahesh drives partnerships with Fortune 1000 companies, delivering AI-powered solutions to complex business challenges worldwide.
Manish Gupta – Indegene
Manish Gupta, Chairman and CEO of Indegene, operates at the intersection of healthcare expertise and advanced technology. An alumnus of IIT-BHU and IIM-Ahmedabad, he has guided Indegene into a trusted commercialization partner for leading biopharma companies. His leadership emphasizes AI-driven innovation, helping life sciences firms accelerate outcomes while expanding global access to quality healthcare and patient engagement solutions.
Neeraj Pratap Sangani – Hansa Cequity
As CEO of Hansa Cequity, Neeraj Pratap Sangani brings over 30 years of marketing and consulting experience to transform customer journeys with AI. He views artificial intelligence as “the new electricity” driving business transformation. His leadership has enabled enterprises to scale AI-powered strategies from pilots to enterprise-wide deployments, building future-proof organizations where customer experience and intelligence converge seamlessly.
Nitesh Jain – C5i
Nitesh Jain, CEO of C5i, has been a pioneer in data science and analytics for more than 25 years. With expertise in mathematics, statistics, and AI, he has consistently focused on creating people-centric AI. Under his leadership, C5i aims to become a top-five global pure-play AI provider, ensuring that advanced analytics delivers real-world business and societal value.
Raj Babu – Agilisium
Raj Babu, Founder and CEO of Agilisium, brings over two decades of expertise in AI, cloud, and data-driven transformation. He has positioned Agilisium as a trusted innovation partner for life sciences, enabling compliance and efficiency through autonomous agentic AI. Despite being bootstrapped, Agilisium remains profitable and ambitious, targeting $100 million in revenue by 2027 with cutting-edge domain-centric solutions.
Rajan Sethuraman – LatentView Analytics
Rajan Sethuraman, CEO of LatentView Analytics, leads with a strong consulting background from Accenture and KPMG. His focus lies in helping Fortune 500 companies leverage AI for faster decision-making and competitive advantage. At LatentView, he emphasizes industry-specific expertise and scalable solutions, enabling enterprises to harness analytics and AI as central tools for growth and digital transformation.
Ravi Mehrotra – Evalueserve
Ravi Mehrotra, CEO of Evalueserve, is a firm believer in human-AI collaboration. Under his leadership, the company has pioneered agentic AI-driven managed services that enhance decision-making and strategy. With a vision of combining technology, context, and human judgment, Ravi is steering Evalueserve toward redefining enterprise intelligence, where AI systems enable real-time insights and accelerate business actions globally.
Sayandeb Banerjee – MathCo
Sayandeb Banerjee, CEO of MathCo, has witnessed the analytics industry evolve over three decades. He leads with the conviction that AI should deliver practical outcomes beyond hype. Through MathCo’s innovative offerings, he enables enterprises to adopt GenAI responsibly and effectively. His approach empowers decision-makers to extract actionable intelligence, fostering competitive advantage in increasingly complex global markets.
Sid Banerjee – SG Analytics
Sid Banerjee, CEO of SG Analytics, stands at the crossroads of AI, data, and business strategy. With a career spanning major financial institutions, he has built SG Analytics into a global hub of AI-powered insights. His leadership philosophy bridges human expertise with artificial intelligence, creating ethical, meaningful, and impactful solutions that help organizations make smarter business decisions.
Shashank Garg – Infocepts
Shashank Garg, Co-founder and CEO of Infocepts, brings nearly three decades of experience in guiding Fortune 500 enterprises through data-driven transformation. Passionate about leveraging AI for impact, he has built Infocepts into a consulting powerhouse delivering measurable outcomes. Recognized as a top consulting CEO, Shashank continues to drive innovation, mentoring teams and shaping enterprise adoption of advanced AI solutions.
Shub Bhowmick – Tredence
Shub Bhowmick, Co-founder and CEO of Tredence, founded the company in 2013 to solve analytics’ “last-mile” challenge—turning insights into value. Today, Tredence is a global firm with 3,500+ employees serving Fortune 500 clients across multiple industries. With over 27 years of consulting experience, Shub has positioned Tredence as a leader in customer analytics and AI-driven transformation.
Sridhar Ramaswamy – Snowflake
Sridhar Ramaswamy, CEO of Snowflake, brings decades of experience in scaling technology businesses. After leading Google’s $100B advertising division, he co-founded Neeva, an AI-powered private search engine acquired by Snowflake in 2023. As CEO, he now drives Snowflake’s AI strategy, building on his expertise in data, analytics, and enterprise-scale adoption to redefine the future of data-driven intelligence.
Uday Hegde – USEReady
Uday Hegde, Co-founder and CEO of USEReady, has built the company into a global transformation partner across AI, BI, and cloud. With innovative offerings like Refactory.ai and SAAS solutions, USEReady empowers enterprises to adopt agentic and hybrid AI systems effectively. His mission centers on lowering the cost of intelligence while enabling large organizations to scale digital transformation.
William Rathinasamy – Diggibyte
William Rathinasamy, CEO of Diggibyte, is redefining success through resilience and vision. From a modest background, he built a 150-member data and AI firm that operates globally. His ambition is clear: to establish Diggibyte as a niche leader in AI innovation. William continues to challenge boundaries, driving impact-driven solutions that shape the future of AI adoption worldwide.
Strategic Significance
What unites these leaders is execution over hype. They are not defined by funding rounds or media buzz but by their ability to scale AI responsibly, aligning business priorities with technological innovation. Their work signals where AI leadership is truly happening in 2025—across geographies, industries, and organizational models.
