Since the release of ChatGPT (GPT 3.5) in late 2022, AI has undergone a Cambrian explosion shifting from experimental research to a central pillar of the global economy almost overnight. The pace of innovation has compressed what used to be years of progress into months, with models becoming exponentially more capable in reasoning, coding, and multimodal understanding of text, image, audio and video.

Unveiling the origin of AI Agents and Robots

AI’s modern journey started with Machine Learning (ML), evolving into Deep Learning (DL) via Neural Networks and achieving a major breakthrough with the Transformer architecture in 2017. This paved the way for Large Language Models (LLMs) and the creation of Generative AI. The field has now progressed into Agentic AI—systems that autonomously plan and execute complex tasks—which is merging with Robotics to create machines capable of real-world reasoning and navigation.

AI is Driving National Growth and Economic Power in the World

Right now, the world is in a fierce race to create artificial intelligence, with massive amounts of global investment pouring into the sector. AI is no longer just a tech trend—it is actively driving the stock market and shaping the economic future of entire nations. In the latest 2026–27 Union Budget, India allocated ₹1,000 crore for the IndiaAI Mission to fund local research and computing power.

Major DeepTech Investments and the India AI Impact Summit 2026

The India AI Impact Summit 2026 marked a pivotal shift in the country’s tech trajectory, moving from mere AI adoption to building sovereign AI computing infrastructure. Prominent names in the Indian AI landscape include Sarvam AI and BharatGen (Large Language Models), Haptik and Gnan.ai (conversational AI).

India AI Impact Summit 2026 was highlighted by massive capital commitments, including Reliance Industries’ ₹10 lakh crore push for domestic AI compute, a landmark Tata-OpenAI partnership to build a scalable 1-gigawatt AI data center, and the government’s ₹10,372 crore IndiaAI Mission to provide heavily subsidized GPU power to local startups for deploying population-scale, ‘Made-in-India’ AI models.

We don’t just need companies building the core ‘AI brains’ rather, we need startups that use those brains to create practical, everyday products that will build a paying customer base, generate real revenue, and boost the national economy. This is exactly where SierraBlue’s Brahmaksh enters the timeline.

By embedding advanced, Agentic AI technology into offline-capable hardware, Brahmaksh which is SierraBlue’s Integrated AI Platform, revolutionizes deep-tech by decoupling hardware from different solutions via a ‘Universal Core’.This NVIDIA GPU Jetson-powered edge device processes visual data into real-time insights using VLMs and AI.