Dhee.ai vs CrewAI

CrewAI has a disclosed valuation of $80M, while Dhee.ai's valuation is not publicly available, making a direct size comparison difficult. CrewAI employs 25 people.

CrewAI has raised $18M in disclosed funding across 1 known round. Dhee.ai's funding history is not publicly available.

CrewAI holds the higher Awaira Score at 71/100, 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 36-point gap that reflects meaningful differences in scale or traction.

Dhee.ai was founded by Arpit Agarwal in 2023. CrewAI was founded by Joao Moura 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. CrewAI: CrewAI is an open-source framework for building multi-agent AI systems founded in 2023. The platform enables developers to create collaborative autonomous agents that work together to accomplish complex tasks, shifting from single-agent systems to coordinated agent crews. The framework abstracts agent coordination, task management, and inter-agent communication, allowing developers to focus on defining agent roles and objectives rather than infrastructure. CrewAI's core technology centers on orchestrating multiple specialized agents that can delegate tasks, share context, and iterate toward solutions. The platform supports various AI models and integrates with popular language model providers. It emphasizes transparency and customization, providing tools for monitoring agent behavior and fine-tuning performance. The company operates in the AI agents category, a rapidly expanding segment addressing enterprise automation, research, and creative tasks. CrewAI has gained traction within developer communities as an accessible alternative to proprietary multi-agent platforms. The open-source model has generated significant adoption among startups and enterprises exploring agent-based solutions. Founded in 2023, CrewAI raised $18M in total funding and carries a valuation of $100M at seed stage. The company competes with frameworks and platforms offering agent orchestration, including Langchain, AutoGen, and commercial solutions. Its growth trajectory reflects increasing market interest in agent-based architectures for scaling AI applications. CrewAI's open-source approach to multi-agent orchestration has positioned it as a accessible developer framework amid growing enterprise demand for collaborative AI systems.

Both Dhee.ai and CrewAI 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 CrewAI has approximately 25. 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 CrewAI 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.