Nurix AI vs Dust

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Nurix AI employs 10-50 people, while Dust has 75 employees.

Dust has raised more in total funding at $21.5M, compared to Nurix AI's $5M — a gap of $16.5M. Combined, the two companies have completed 1 known funding rounds.

Dust holds the higher Awaira Score at 65/100, compared to Nurix AI's 40/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 25-point gap that reflects meaningful differences in scale or traction.

Nurix AI was founded by Arindam Mukherjee in 2023. Dust was founded by Gabriel Hubert in 2023. Visit each company's profile on Awaira for a full founder biography.

Nurix AI: 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. Dust: Dust is a French AI company founded in 2023 that develops enterprise AI agents designed to automate business workflows and processes. The company operates in the AI agents category, providing software solutions that enable organizations to deploy autonomous AI systems for various operational tasks. Dust's platform allows enterprises to build, deploy, and manage AI agents without requiring extensive machine learning expertise, focusing on practical workplace automation. The company has secured $22 million in total funding and is currently at Series A stage, though its valuation remains undisclosed. Operating from France, Dust competes in the growing market of enterprise AI automation alongside other agent-focused platforms. The company's approach emphasizes accessibility for non-technical users while maintaining enterprise-grade reliability and security standards. Dust targets medium to large organizations seeking to streamline operations through AI-driven automation. The platform integrates with existing business systems and tools, enabling AI agents to handle tasks such as data processing, customer interactions, and operational workflows. As part of the broader AI agents sector experiencing significant investment and adoption, Dust positions itself as a practical solution for enterprises transitioning toward AI-augmented operations. The company's trajectory reflects growing enterprise demand for autonomous AI systems that can deliver measurable productivity gains. Dust provides enterprise-grade AI agents that democratize workplace automation for organizations without deep machine learning capabilities.

Both Nurix AI and Dust were founded in the same year — 2023. Despite sharing a founding year, they may have launched at different times within that year, which can matter in fast-moving AI markets.

Nurix AI has approximately 10-50 employees, while Dust has approximately 75. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, Nurix AI and Dust are direct competitors — both operate in the AI Agents space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.