Definable AI Is Building Reliable AI Agents for the Businesses the AI Boom Left Behind

Gurugram-based startup Definable AI is redefining how businesses adopt artificial intelligence by making AI agents reliable, production-ready, and accessible through plain language instructions.

Founded in 2025 by Anandesh Sharma and Shubham Shukla, Definable AI was created with a mission to bring practical AI adoption to SMBs and non-technical founders who were largely excluded from the first wave of the AI revolution.

While many AI platforms focus on experimentation and prototypes, Definable AI is positioning itself around a more critical challenge – reliability in real-world operations.

Built by Founders Who Understand Production AI

Anandesh Sharma, technical co-founder of Definable AI, previously worked at OpenAI and brings over eight years of experience in production engineering and AI agent systems. As the architect behind Definable’s core platform, his focus has been on building AI systems that businesses can trust beyond demos and pilot projects.

Co-founder Shubham Shukla, a repeat founder and former Co-Founder & CTO at Sparrow Christ, contributes deep expertise in fintech and security engineering. Having worked together in tech for nearly four years before launching Definable, the duo combined technical depth with execution capability to create a platform designed for scalable and dependable AI adoption.

The idea behind Definable AI emerged from a simple observation – while frontier labs and large enterprises rapidly adopted AI, smaller businesses, schools, and operational teams running on limited resources struggled to access tools that could genuinely work for them.

Turning Plain Language into Reliable AI Workflows

Definable AI enables users to build AI agents and workflows simply by describing tasks in natural language. Unlike traditional no-code systems that still require drag-and-drop configurations or technical understanding, Definable focuses on simplifying the entire workflow creation process.

What differentiates the platform, however, is its deterministic logic architecture. Definable compiles user instructions into structured logic systems, enabling AI agents to run reliably in production environments.

This reliability-first approach has already translated into early traction across industries within the company’s first year of operations.

A school in Pataudi, Haryana currently uses a WhatsApp admissions and fee-reminder agent powered by Definable AI, while an EV company and a logistics firm have implemented operational automation using the platform.

Expanding from India to Global Markets

Definable AI has also launched publicly on Product Hunt and open-sourced its core Definable Python SDK, strengthening its developer ecosystem and product accessibility.

The company’s growing suite includes AI agent and workflow creation using natural language, advanced AI chat systems, DefCode coding agent, Creative Studio, and a Knowledge Base platform. DefCode has already attracted paying users, including engineers working at IBM and HP.

Built in India with ambitions extending to the US market, Definable AI aims to establish itself as a category-defining platform in reliable no-code AI agent building.

As AI adoption accelerates globally, Definable AI is focused on ensuring that smaller businesses and non-technical founders are not left behind in the next phase of technological transformation.