Kompact AI is already enabling real-world applications and customers, building the software and ecosystem required to scale AI adoption.
Bengaluru, September 7, 2026 – Deeptech and AI startup Ziroh Labs has officially announced the expansion of its Kompact AI platform across multiple form factors and industry sectors. Designed as a CPU-first AI platform, Kompact AI targets high-volume enterprise use cases where workload scale, stringent I/O patterns, and smaller AI models make efficient CPU-based inference a practical, cost-effective choice.
Enterprise artificial intelligence is not a monolithic workload. While large, compute-intensive models dominate headlines, organizations are simultaneously deploying AI across thousands of daily operational workflows. These range from software testing and document processing to customer interactions, enterprise automation, cybersecurity, and specialized industry applications. Many of these operational workloads process high volumes of transactions and data, driven as much by latency, I/O efficiency, and deployment scale as by raw computing power. Kompact AI is engineered specifically for this expansive tier of the AI landscape, bringing efficient inference to enterprise workloads that can execute smoothly on ubiquitous CPU infrastructure.
Hrishikesh Dewan, Co-founder and CEO of Ziroh Labs, emphasized the strategic shift: “The next phase of AI adoption will require infrastructure that is accessible, efficient, and closer to the people and businesses using it. Our focus is to make AI more accessible by enabling organisations to run AI where it is needed, with greater control over cost, performance and data.”
A Vision Rooted in Decentralised Computing
The launch event featured pioneering cryptographer and 2015 ACM A.M. Turing Award recipient Dr. Whitfield Diffie. Dr. Diffie voiced strong support for Kompact AI’s architectural approach, highlighting its capacity to deliver robust AI capabilities onto standard CPU infrastructure.
For Dr. Diffie, the platform’s significance extends far beyond raw computing efficiency. His longstanding dedication to decentralization and the broad distribution of technological capability deeply informs his view of how transformative technologies should evolve. He regards artificial intelligence as one of the most powerful innovations developed since the World Wide Web, believing its ultimate societal impact will hinge on how widely its capabilities can be distributed.
Describing Kompact AI, Dr. Diffie noted that the ability to execute AI on ubiquitous CPUs stands out as “one of the most exciting things I have seen in quite a number of years.” His perspective reinforces the core philosophy behind the platform: AI utility should be deployable across the massive base of computing hardware organizations already own, rather than remaining restricted to highly specialized, expensive environments.
Foraying into Multiple Sectors
Kompact AI is positioned not merely as an AI runtime, but as a comprehensive ecosystem designed for building and deploying practical applications.
The platform is making inroads across various sectors via purpose-built Kompact AI Box solutions—packaged infrastructure built around specific industry verticals. These tailored solutions bundle AI models and inference capabilities to address real-world use cases across healthcare, education, retail, fintech, and sovereign deployments.
A growing roster of partners is already evaluating and implementing solutions on Kompact AI. These collaborations illustrate how the platform accommodates diverse software environments, supporting everything from AI-driven software testing and quality engineering to intelligent enterprise workflows. Rather than forcing organizations to build complex AI infrastructure from scratch, Kompact AI delivers deployable solutions mapped to defined industry challenges.
Taking AI Into the Classroom
The ecosystem strategy behind Kompact AI extends far beyond corporate boardrooms. Ziroh Labs is actively partnering with academic institutions to establish specialized Centres of Excellence (CoEs) focused on artificial intelligence. These centers provide students with direct access to practical AI environments for experimentation, building, and deployment.
Kompact AI is designed to make advanced AI accessible to every educational center, breaking down barriers for institutions operating on modest budgets. To support this mission, Ziroh Labs offers a free academic license for every educational institution and its students. These CoEs aim to cultivate a robust pipeline of developers, researchers, and entrepreneurs equipped to work with real AI infrastructure and contribute to India’s growing technology ecosystem.
Additionally, Ziroh Labs has collaborated with academicians from premier institutes like IIT Guwahati to launch the Math Lab initiative. The charter of the Math Lab is to investigate whether the mathematics currently underpinning large language models and state-space models forms numerical structures capable of genuinely driving general intelligence.
Complementing this initiative, Ziroh Labs partnered with IIT Guwahati to design a comprehensive 40-plus-hour course aimed at democratizing advanced AI and LLM education for learners globally. While the course materials are free to access, learners can optionally opt for a paid certification issued by IIT Guwahati.
The launch event convened prominent academic and industry figures, including Prof. S. Sadagopan, Sanjay Tyagi, and Mahadesh. Sharing his thoughts on the milestone, Prof. S. Sadagopan, Founder Director of IIIT-Bangalore, stated: “Sharing the stage with Turing award winner is such an honour. I congratulate Ziroh Labs for doing so much so soon… 10+ partners, 100+ technical papers, 1,000+ models being released is incredible. Kompact AI is creating a huge ecosystem for deep tech. Frugal innovation and building energy-efficient AI for everyone is what excites me about the platform which is a timely development for India.”
A Platform Built Around Increasing Accessibility
The overarching vision of Kompact AI is to expand the infrastructure foundation available for AI execution. Enterprises, data centers, educational institutions, and edge environments already house vast amounts of installed CPU infrastructure. Kompact AI unlocks that existing compute base for high-performance AI inference.
This capability carries profound implications beyond infrastructure economics. Running AI workloads in close proximity to enterprise data and local applications naturally addresses critical priorities such as data locality, stringent privacy compliance, low latency, and predictable deployment costs.
