M37Labs launches MightyClaw for enterprise AI agents
Fri, 22nd May 2026 (Today)
M37Labs has launched MightyClaw, an agentic artificial intelligence platform for enterprise use. It describes the product as the first enterprise-wide agentic AI platform from an Indian AI-native business.
The Mumbai-based group said MightyClaw is a production-ready system built on open-source foundations including NVIDIA NemoClaw and OpenAI OpenClaw. The platform is aimed at companies looking to deploy AI agents across business functions rather than rely on narrower pilot projects.
MightyClaw is designed for deployment in on-premise, private cloud and air-gapped environments. M37Labs said this structure is intended to keep data, model weights and agent logs within an organisation's own boundaries, which it positions as important for regulated sectors and businesses handling sensitive intellectual property.
The launch comes as technology suppliers compete to move beyond generative AI assistants and offer software that can carry out multi-step tasks with less human input. M37Labs said the shift towards what it calls the autonomous enterprise could create between USD $10 trillion and USD $15 trillion in global economic value over the next decade.
The platform includes pre-configured deployments for Financial Services, Healthcare and Life Sciences, Legal and Compliance, Manufacturing, Government and Professional Services. According to M37Labs, these sector packages are intended to reflect different compliance requirements and workflow needs.
Governance is built into the platform through a system called AiDNA. M37Labs said agent actions are bound by an organisation's compliance framework, ethical guardrails and role-based access controls before outputs are produced.
The product also includes change management tools such as adoption dashboards, in-app training and rollout playbooks for managers. M37Labs said these features are intended to address implementation problems that often affect AI projects inside large organisations.
The platform is being offered through three routes. The first is a personal agent model distributed under an MIT licence and designed to run locally on a user's device without cloud dependence. The second is a specialised agent tier trained on proprietary vertical data for sectors such as fintech and pharmaceuticals. The third is an enterprise agent offering based on a three-phase process covering discovery, prototyping and deployment.
In positioning the product, M37Labs contrasted it with systems built for demonstrations rather than broad deployment across a business. It said MightyClaw is intended to support fleets of AI agents that can reason, plan, act and adapt across functions without constant human instruction.
M37Labs was founded in 2024 and operates in India and San Francisco. The business runs several product lines, including RetailIO.AI, EBIC.AI, HireQ.AI and MightyClaw, and says its name is derived from Move 37, the well-known AlphaGo move in 2016.
Commenting on the launch, Zorawar Purohit, Chief AI Officer & Co-Founder, M37Labs, said: "The enterprises deploying AI agents today will own their markets tomorrow. MightyClaw was built for the organisations that understand this - and for the Indian engineering community to show the world that we don't just implement AI, we architect it."
Prashant Shivram Iyer, Chief Executive Officer & Co-Founder, M37Labs, outlined the company's wider view of the market: "The rise of the Autonomous Enterprise is not merely a technology upgrade; it is the most defining economic transformation since the Industrial Revolution. In this new era, every company will be required to build its own autonomous core, powered by agents operating on a recursing, self-evolving loop. This fundamental shift will not just change how we work-it will redefine the AI OS Fabric of our times."