Dhee.ai vs Dust

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

Dust has raised $21.5M in disclosed funding across 1 known round. Dhee.ai's funding history is not publicly available.

Dust holds the higher Awaira Score at 65/100, compared to Dhee.ai's 35/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 30-point gap that reflects meaningful differences in scale or traction.

Dhee.ai was founded by Arpit Agarwal in 2023. Dust was founded by Gabriel Hubert in 2023. Visit each company's profile on Awaira for a full founder biography.

Dhee.ai: Dhee.ai is an early-stage enterprise AI agents company building autonomous agents capable of executing complex business workflows across finance, operations, and customer management functions without continuous human oversight. The platform targets mid-market and enterprise companies looking to deploy AI-driven process automation beyond the capabilities of traditional RPA and workflow tools.\n\nThe company is in Seed stage with limited publicly disclosed funding and is in early product development and customer discovery. Dhee.ai is building in the rapidly expanding agentic AI market, where the convergence of capable frontier models and robust tool-use frameworks is enabling the first generation of genuinely autonomous AI workflow executors.\n\nEnterprise AI agents represent one of the highest-potential but highest-uncertainty categories in current AI product development. Dhee.ai's early positioning in this space reflects the opportunity to define category conventions and acquire early enterprise reference customers before the market consolidates around dominant agent platforms from larger AI companies. 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 Dhee.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.

Dhee.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, Dhee.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.