India’s artificial intelligence ecosystem is undergoing a fundamental shift—from content generation to autonomous decision-making—as Agentic AI emerges as the next frontier in deeptech innovation. By late 2025, startups across sectors had already begun deploying AI agents capable of executing complex workflows, marking a transition from passive tools to active digital operators.
This evolution is redefining how enterprises, cities, and industries leverage AI—not just for insights, but for real-time action.
From Generative AI to Autonomous Agents
The first wave of AI innovation was dominated by generative tools like chatbots and copilots. However, the current phase is being driven by agentic systems—AI models that can plan, execute, and adapt tasks independently.
A major milestone in this transition came with Krutrim’s launch of Kruti, an agentic AI assistant designed to operate across text, voice, images, and files. Unlike traditional large language models, Kruti is built to manage end-to-end workflows autonomously.
Similarly, Acta.ai is pioneering persona-based AI agents, each tailored to specific business functions such as HR, Sales, Engineering, and Finance. These agents convert unstructured inputs—like meetings—into structured, actionable outputs, enabling measurable productivity gains.
Building the Infrastructure for AI Agents
As agentic AI gains traction, startups are building foundational infrastructure to support these systems at scale.
MonkDB, launched in 2025, has introduced what it claims to be the world’s first AI-native distributed database. Designed specifically for AI agents, the platform enables multimodal reasoning and persistent memory through MCP-based orchestration—effectively acting as a “brain” for autonomous systems.
SCIKIQ Data is also advancing this space with its “AI Nervous System”, which deploys GenAI-powered data agents to unify fragmented enterprise data. These agents can activate and govern data significantly faster than traditional systems, laying the groundwork for autonomous enterprise intelligence.
Agentic AI Expands Across Industries
The real impact of agentic AI is being seen in industry-specific applications, where autonomous systems are solving complex operational challenges.
In smart infrastructure, Astrikos.ai is developing agentic platforms for cities and large-scale assets, enabling predictive operations across data centers, campuses, and public infrastructure.
In mobility, Ravity is deploying AI-powered mobility agents that transform connected vehicle data into predictive insights. These agents are being used to automate fleet operations and quality management for major automotive players like Maruti Suzuki and Stellantis.
Meanwhile, Drishya AI Labs is applying agentic AI to industrial environments by creating intelligent digital twins. Its platform maps asset connectivity in sectors like energy and chemicals, enabling autonomous decision-making and operational optimization.
Investor Capital Shifts Toward Agentic AI
The rise of agentic AI is also reshaping investment strategies. Venture capital firms are increasingly allocating dedicated funds to this segment, recognizing its potential to redefine enterprise and industrial operations.
Arkam Ventures’ $180 million Fund II, for instance, has identified Agentic AI as one of its top three focus areas, alongside enterprise SaaS and deeptech. Other funds are similarly positioning agentic systems under broader “frontier tech” investment theses.
This growing interest reflects a belief that agentic AI will drive the next wave of scalable, high-impact startups.
Operational Transformation and Workforce Impact
Beyond technology and funding, agentic AI is beginning to influence organizational structures and workforce strategies.
Companies like Gupshup have already initiated restructuring efforts to prioritize AI-driven automation and agentic customer engagement. The move signals a broader trend where businesses are reallocating resources to integrate autonomous AI systems into core operations.
As these agents take on repetitive and decision-heavy tasks, human roles are expected to evolve toward oversight, strategy, and high-value creative functions.
From AI for Content to AI for Action
The developments across startups, infrastructure, and investment clearly indicate a paradigm shift. India’s AI ecosystem is moving beyond generating text and images toward systems that can act, decide, and execute.
Agentic AI represents this transformation—where intelligence is not just informative but operational.
While the latest data extends up to late 2025, the momentum suggests that 2026 will be a defining year for agentic systems. As startups continue to refine these technologies and enterprises adopt them at scale, India is positioning itself at the forefront of the global transition toward autonomous AI.
