Bland Announces Series C Funding

Bland, an enterprise voice AI platform for phone agents, led by Isaiah N. Granet, Sobhan Nejad, and the team, has raised an additional $50 million to keep going from Scale, Emergence, HubSpot, Dell Technologies Capital, Upfront (and more), bringing it past $100 million raised in under three years. 

Tackling Complex Voice Conversations.

Most voice AI solutions are designed for simple, highly structured interactions. However, the conversations that drive meaningful business outcomes are often far more complex, involving interruptions, changing customer needs, and unpredictable questions that traditional scripted systems struggle to handle.

Bland was built to address these more dynamic interactions through AI-powered voice agents capable of managing real-world conversations at scale.

The company has announced an additional $50 million in funding from investors, including Scale Venture Partners, Emergence Capital, HubSpot, Dell Technologies Capital, and Upfront Ventures. The new financing brings total funding to more than $100 million in less than three years.

Today, Bland handles more than 3.5 million calls each week for organizations including Samsara, Kin Insurance, and CNO Financial Group across sectors such as healthcare and financial services, where reliability and accuracy are critical.

The Bet on Voice-Native AI.

Bland’s core thesis is that voice requires models built specifically for voice. While many companies rely on general-purpose AI models and adapt them for phone conversations, Bland has invested in developing its own voice models in-house, designed to handle the unique challenges of real-world conversations.

Voice interactions involve latency, interruptions, changing context, and unpredictable responses that traditional AI systems often struggle to manage. By building purpose-built voice models, Bland aims to deliver more natural, reliable, and effective conversations in high-stakes customer interactions.

As CEO and co-founder, Isaiah Granet explains, voice is a distinct domain with its own technical challenges, requiring specialized systems rather than adaptations of models built for other use cases.

Real-World Use Cases.

Bland is built for complex, high-stakes conversations that traditional voice systems struggle to handle. In healthcare, for example, voice agents can guide patients through procedures, interpret responses, identify issues, and adapt in real time.

According to CEO and co-founder Isaiah Granet, these conversations are rarely linear and require context, judgment, and flexibility, capabilities that form the foundation of Bland’s voice AI platform.

What Comes Next.

The new funding will support investments in AI research, engineering, and platform scaling. Bland plans to expand its team, advance its voice models, and deepen its focus on industries where conversations are core to business operations.

Because the company develops its models in-house, improvements in accuracy, speed, and performance can be delivered directly to customers through the existing platform.