Interview

Bland raises $50M to replace call center bots for hospitals, airlines, and eventually 911 — trains its own voice models

Jun 17, 2026 with Isaiah Granet

Key Points

  • Bland raises $50M from Dell, HubSpot, and existing backers to deploy AI agents in high-stakes call center work where failures carry legal or safety consequences.
  • The company trains its own voice models instead of relying on third-party foundation models, prioritizing latency and liability control for healthcare, airline, and 911 use cases.
  • Bland counts 350,000 self-serve users and drives enterprise revenue through unconventional marketing: billboards, licensed celebrity voices including Soulja Boy, and deliberate brand positioning as approachable rather than disruptive.
Bland raises $50M to replace call center bots for hospitals, airlines, and eventually 911 — trains its own voice models

Bland raises $50M to replace call center bots — starting with hospitals and airlines, eventually 911

Isaiah Granet founded Bland on a blunt premise: every major company in the US still runs on call center bots that are universally hated, and AI can replace them. The $50M raise, backed by existing insiders plus Dell and HubSpot as strategic investors, is designed to push Bland into the hardest category of that problem.

Granet's framing of the market is sharper than most: Bland isn't targeting "where's my order" calls or AI receptionists. It's targeting the complex, high-stakes calls where, as he puts it, "if something goes wrong, someone sues or dies." Current verticals include hospitals and airlines; a 911 offering is in development, though Granet says he can't disclose details yet.

We replace that with AI. Our specialty is we wanna do the calls where if something goes wrong, someone sues or dies... We do this without OpenAI... We have 350,000 self serve users, but most of it is actually inbound leads. The round was our insiders plus Dell and HubSpot.

The technical posture matters here. Bland trains its own voice models rather than building on OpenAI or other foundation model providers, a deliberate choice for a product where latency, reliability, and liability exposure all demand tighter control.

Healthcare calls illustrate why the product looks different from generic voice AI. Bland handles 45-minute remote patient monitoring calls with elderly patients. Getting a 90-year-old to put on a blood pressure monitor means hearing about their grandchildren first. The model has to hold that conversation genuinely, not route around it.

Enterprise compliance creates the opposite pressure. One major bank required a 90-second legal disclosure at the start of every call before any real interaction could begin. Granet describes an intensive testing process at large financial institutions, including explicit questions about whether the AI might say something offensive. His read on why these call centers still exist: businesses have tried every available method to eliminate them, and they survive only because there's a gap between what the business wants to offer and what it can actually deliver. He puts US call center spend at $250 billion per year and considers AI penetration of the complex end of that market to be "astoundingly early."

350,000 self-serve users are on the platform, but the primary revenue driver is inbound enterprise leads generated through viral marketing. Bland's billboards, which predate the current wave of AI company outdoor advertising, carried the line "still hiring humans?" with a working phone number. Granet is pointed about a competitor who later ran near-identical creative. Bland also licensed Soulja Boy's voice, calculating that CIOs now in their 40s grew up with the music. Granet says the strategy works. Bland also worked with Paul Lieberstein (Toby from The Office) as a voice, leaning into the company name as a deliberate creative angle: approachable enough to drive enterprise trust, not so disruptive that a hospital or 911 operator wouldn't take the call.

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