40

Out of 100

N/A

Post-money

$5M

All rounds

40/100

2023

10-50 employees

March 2026

Nurix AI is an enterprise AI agents platform that enables businesses to deploy autonomous AI agents capable of executing multi-step workflows across business applications, APIs, and data sources without human intervention. The platform provides tools for building, testing, deploying, and monitoring AI agents that can handle sales outreach, customer operations, finance reconciliation, and internal

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A

Arindam Mukherjee

Founder & CEO

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StageSeed
Employees10-50
Country🇮🇳 India

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Seed · No public funding round data available yet.

Frequently Asked Questions

What is Nurix AI's valuation?
Nurix AI's valuation is not publicly disclosed.
Who invested in Nurix AI?
Investor information for Nurix AI is not publicly available at this time.
When did Nurix AI last raise funding?
No public funding round data is currently available for Nurix AI.
How many employees does Nurix AI have?
Nurix AI has approximately 10-50 employees.
What does Nurix AI do?
Nurix AI is an enterprise AI agents platform that enables businesses to deploy autonomous AI agents capable of executing multi-step workflows across business applications, APIs, and data sources without human intervention. The platform provides tools for building, testing, deploying, and monitoring AI agents that can handle sales outreach, customer operations, finance reconciliation, and internal IT support tasks.\n\nThe company raised approximately $5M in early-stage funding and is targeting Indian and global enterprise customers looking to move beyond simple chatbot automation to fully autonomous AI process execution. Nurix AI is positioned to ride the rapid enterprise adoption of agentic AI workflows that has accelerated following the general availability of capable frontier models.\n\nThe enterprise AI agent market is in early formation globally, and Nurix AI is among a cohort of Indian startups attempting to build the orchestration and deployment infrastructure that sits between powerful foundation models and real-world business process execution. The company's early stage reflects high optionality and high execution risk in equal measure.