Bland AI is a San Francisco-based company that builds infrastructure for enterprise AI phone agents capable of handling high volumes of inbound and outbound calls. The platform exposes APIs and a no-code builder that let businesses design conversational flows, plug in their own data and tools, and deploy voice agents across customer support, sales, scheduling, and operations use cases.

The company was founded in 2023 by Isaiah Granet, who serves as chief executive, and co-founder Sobhan Nejad. Bland emerged from stealth in August 2024 and progressed rapidly through Y Combinator and subsequent rounds. Reported financings include a $16 million Series A and a $40 million Series B in early 2025 led by Emergence Capital with continued participation from Scale Venture Partners, Y Combinator, and angel investors, bringing total funding to approximately $65 million.

Bland's core technical claim is that its stack can process more than one million simultaneous calls with low latency and human-like voice quality, using a combination of proprietary models, voice cloning, and tight integration with telephony providers. Enterprises deploy Bland agents to triage inbound support calls, qualify outbound leads, run reminders, and integrate voice flows directly into existing CRM and ticketing systems.

The company counts customers such as the Cleveland Cavaliers and Better.com among publicly referenced deployments, alongside a broader base of mid-market and enterprise users in financial services, healthcare, and consumer brands. Bland positions itself as infrastructure rather than a vertical product, competing with companies including Vapi, Retell, and AI features embedded in incumbent contact centre platforms.

Bland has also attracted public debate around responsible deployment of voice AI. Reporters and researchers have raised questions about conversational manipulation, persona design, and disclosure when AI agents speak with consumers, prompting the company to publish guidance on acceptable use and refine its policies on identifying agents as non-human.