Adya is an infrastructure provider in the AI agent ecosystem, focusing on the orchestration and deployment of multi-agent systems. Their primary contribution is the concept of "AI building AI," where specialized agents for architecture, coding, and testing collaborate to produce production-ready software. This positions them as a foundational tool for organizations that need to move away from fragile prompt-chaining toward deterministic, governed systems.
The platform's support for the Model Context Protocol (MCP) and its library of 300 implementations makes it a significant node in the emerging standard for agent-tool interaction. By providing the governance and memory layers through AGP and ESM, Adya addresses the specific technical debt—such as hallucination and lack of auditability—that prevents autonomous agents from being deployed in sensitive enterprise environments.
Adya is a full-stack operating system designed for enterprise agentic AI. Based in Mumbai and founded in 2023 by Shayak Mazumder and Archana Shah, the company focuses on a specific bottleneck: the time required to move from a plain-English prompt to a production-grade software system. While many startups provide simple wrappers for large language models, Adya builds an orchestration layer called SAI (SuperAgent AI). This system—managed as an operating system—is designed to handle the entire lifecycle of an AI application, from model fine-tuning to multi-agent deployment.
The platform is divided into five specialized modules, which the company refers to as Studios. Agent Studio allows developers to build specific logic using a library of pre-tuned workflows. App Studio takes a brief and uses a team of specialized agents, including architects, designers, and testers, to generate production software. Model Studio handles data training and deployment to private clouds, while Cloud Studio manages infrastructure across AWS, Azure, and GCP. A Marketplace allows users to buy or publish pre-built tools. This modular approach replaces the fragmented process of prompt-chaining with a deterministic engineering runtime.
A core part of Adya's offering is its focus on enterprise control through its Adaptive Governance Platform (AGP) and Event-Sourced Memory (ESM). These systems address the lack of determinism that often prevents corporate AI adoption. ESM provides a replayable audit trail of every agent action, while AGP ensures that security policies and cost caps are enforced at runtime. Mazumder has explicitly stated that because agents themselves are becoming a commodity, the lasting value lies in this orchestration and governance layer. The platform supports over 150 LLMs and 300 Model Context Protocol (MCP) implementations, allowing it to function as a hardware-agnostic software layer.
Adya is a significant player in the Indian AI economy. The company serves as a technology partner for the Open Network for Digital Commerce (ONDC), where it helps enterprises build and deploy compliant applications for retail, logistics, and financial services. This specific integration provides a practical testing ground for its multi-agent systems at a national scale. The company claims that its architecture can lead to an 85% reduction in model costs and a 10x increase in orchestration speed compared to standard implementations on Google Cloud.
Despite its relatively recent exit from stealth, Adya reports that 10,000 developers use the platform daily. The technology recently ranked eighth globally on Terminal-Bench 2.0, an independent benchmark for autonomous agent capability. It was also selected for the INSEAD AI50 class of 2026. These data points suggest the company is moving from an early-stage startup to a recognized utility in the enterprise stack. By treating AI as an operating system problem rather than a chat interface problem, Adya has carved out a distinct role in the emerging agentic economy.
A full-stack Enterprise Agentic AI Operating System for multi-agent orchestration and deployment.
Adya is hiring.