Adopting artificial intelligence is frequently framed as a technical challenge. In practice, however, it is a matter of institutional capability. The velocity of model evolution often exceeds the structural capacity of organizations to integrate them, creating a disconnect between the intent to implement and actual execution. This gap is where Revathi Raghunath has positioned Garage Labs Technologies.
As Co-Founder, Revathi does not focus on a single software product. Instead, her work centers on the “human infrastructure” required for AI to function within established businesses and public systems.
Revathi Raghunath Corporate Leadership to Capability Gaps
After two decades in the startup and corporate sectors including a tenure as CMO at Randstad India – Revathi observed a recurring pattern in digital transformation: budgets were allocated and tools were purchased, but the systems failed to yield results. Her conclusion was that the bottleneck was not the technology, but the “readiness” of the workforce to utilize it.
Garage Labs was designed to remove the traditional prerequisites for technical literacy. The model relies on practitioner-led learning rather than academic theory. By 2025, the firm’s programs had reached 76,000 professionals across 15 countries. The cohort is intentionally diverse, ranging from product teams and founders to police officers and veterinarians many of whom have no prior coding experience.
AI in Public Systems
The integration of AI into public systems is often where theoretical benefits meet practical friction. In a collaboration with the Haryana Police, Garage Labs moved beyond software delivery to address the human element of law enforcement. They developed AI-driven investigative tools for cybercrime units, but the core of the project was the training of non-technical officers. The objective was to move them away from a “black box” reliance on automation toward a responsible, skeptical use of the tools ensuring the technology supports, rather than dictates, investigative judgment.
This emphasis on “applied readiness” is a recurring theme in Revathi’s work with the public sector. Whether partnering with the Ministry of Social Welfare or academic institutions like IIT Delhi and IIM Lucknow, the focus always remains on how these tools survive in the hands of the people meant to use them. By stripping away the jargon, the programs prioritize how theoretical concepts hold up against the messy, unpredictable constraints of real-world administration.
A Model Based on Execution
In the private sector, Garage Labs advises organizations in manufacturing, energy, and services across India and the Middle East. The advisory model is focused on decision-making; leadership teams are trained to build production-grade systems where success is measured by daily utility rather than internal presentations.
The company’s growth reflects this focus on utility over marketing. Approximately 90 percent of their adoption is driven by referrals. By eschewing paid advertising, the firm’s credibility is tied directly to the execution of its projects.
Inclusion as a Design Constraint
Revathi’s approach treats accessibility as a technical requirement rather than an afterthought. A primary example is SunBol, an open-source platform designed for deaf and hard-of-hearing children.
SunBol was built to function offline on low-cost devices and utilizes Indian Sign Language. By prioritizing local context and hardware limitations over high-end features, the platform focuses on maximum reach. In 2025, the project received the People’s Choice Award at the DeepInvent Global Challenge, validating a philosophy that builds for the “edges” of the user base first.
Connectivity and Career Pathways
Garage Labs also functions as a connective layer for founders building specialized technology, including autonomous coding and non-English language models. This ecosystem is supported by practitioner communities like PM Mixer and AceAI.Club, which serve as testing grounds for domain-specific problems.
Within this framework, gender inclusion is handled pragmatically. Through the World of Women in AI initiative, the focus is on structured re-entry and leadership pathways for women returning to the tech workforce. The program prioritizes employability and technical progression over traditional mentorship, operating on the principle that tangible opportunity creates more momentum than “inspiration” alone.
Building for Durability
Through the trifecta of upskilling, advisory, and venture support, Revathi Raghunath has created a closed-loop system. While much of the AI discourse in India focuses on the scale of models, her work targets the layer where technology becomes functional: the readiness of the people and institutions tasked with managing it.
