Bland AI vs Kore.ai

Kore.ai has a disclosed valuation of $1B, while Bland AI'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 $300M, compared to Bland AI's $22M — a gap of $278M. Combined, the two companies have completed 3 known funding rounds.

Kore.ai leads with an Awaira Score of 90/100, while Bland AI sits at 40/100. That 50-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Bland AI was founded by Isaiah Miller in 2023. Kore.ai was founded by Raj Koneru in 2014. Visit each company's profile on Awaira for a full founder biography.

Bland AI: Bland AI provides an AI phone call automation platform that enables businesses to deploy human-sounding AI agents for inbound and outbound telephone interactions at scale. The platform handles appointment scheduling, customer support, debt collection, and sales qualification calls with voice agents that adapt dynamically to conversation flow.\n\nThe company raised approximately 22 million USD and has demonstrated early traction with clients in healthcare, real estate, financial services, and logistics, sectors where phone-based customer contact remains operationally intensive. Bland differentiates through low-latency voice synthesis and the ability to build custom telephony workflows without engineering resources.\n\nAutomated voice AI sits at the intersection of call center outsourcing and conversational AI, a market historically measured in tens of billions of dollars annually. The shift toward AI-native phone infrastructure represents a fundamental change in how businesses handle call volume, and Bland is positioned at the early edge of that transition alongside competitors including Retell AI, Vapi, and Synthflow. 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. Kore.ai competes in the enterprise virtual assistant market alongside Yellow.ai, Avaamo, and global players like Google Dialogflow and Microsoft Copilot Studio. The company has established a strong footprint in banking, healthcare, and telecommunications, where its no-code bot builder and pre-built industry templates significantly reduce deployment timelines. With headquarters in both Orlando and Hyderabad, Kore.ai serves over 200 enterprise clients globally and has been recognized by Gartner as a leader in the conversational AI platform category, positioning it as one of India's most internationally competitive AI agent companies.

Kore.ai got there first, launching in 2014 — that's 9 years of extra runway. Bland AI didn't arrive until 2023. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Bland AI has about 1-50 employees; Kore.ai has about 1000+. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both Bland AI and Kore.ai compete in AI Agents, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.