Kore.ai vs Dust

Kore.ai has a disclosed valuation of $1B, while Dust's valuation is not publicly available, making a direct size comparison difficult. Kore.ai employs 1000+ people.

Kore.ai has raised more in total funding at $250M, compared to Dust's $21.5M — a gap of $228.5M. Combined, the two companies have completed 1 known funding rounds.

Kore.ai holds the higher Awaira Score at 90/100, compared to Dust's 65/100. 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.

Kore.ai was founded by Raj Koneru in 2014. Dust was founded by Gabriel Hubert in 2023. Visit each company's profile on Awaira for a full founder biography.

Kore.ai: Kore.ai is an enterprise conversational AI platform that enables organizations to build, deploy, and manage intelligent virtual assistants across customer service, employee experience, and business process automation use cases. The platform offers a no-code builder, pre-built industry templates, and a proprietary natural language processing engine that supports more than 100 languages and dialects.\n\nThe company has raised approximately $250M across multiple funding rounds and serves over 200 Fortune 500 customers including major banks, telecom operators, healthcare systems, and retailers globally. Kore.ai processes billions of interactions annually and has expanded its product suite to include an AI agent management layer for orchestrating multi-agent workflows.\n\nWith a unicorn-level valuation and deep enterprise penetration, Kore.ai is one of the most commercially mature conversational AI platforms globally. The company competes directly with ServiceNow, Salesforce Einstein, and Microsoft Copilot in the enterprise AI assistant market, with a differentiated strength in omnichannel deployment and regulated industry compliance. 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.

Kore.ai was founded first in 2014, giving it 9 years of additional market experience. Dust was founded later in 2023. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Kore.ai has approximately 1000+ 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, Kore.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.