For support and sales teams handling high call volumes, Bland deploys low-cost AI voice agents that make and take phone calls at scale, automating conversations that would otherwise need human reps.
Presence & Market Position
#87 of 122
GTM Developer Tools
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Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Bland is positioning itself around compliance-grade voice AI for regulated industries, healthcare, insurance, financial services, and logistics, betting that in-house voice models outperform wrapping third-party models on the accuracy and data handling regulated buyers require. The conversation around it spans roundups that group it among the current wave of AI voice and calling agents, commentary on its go-to-market choices such as per-minute pricing and an aggressively pitched hiring push, and coverage of its own model releases, including a text-to-speech launch that topped a public audio-realism benchmark. Some of the broader industry conversation about how convincing voice AI has become uses Bland's output as the reference point for what's now possible.
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NimbleMutual of Omaha, Samsara, TravelPerk, Innovaccer, First Financial Bank, Kin Insurance, Medallion, EvenUp
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Business Profile
Bland was founded during Y Combinator in 2023 by Isaiah Granet and Sobhan Nejad, after a pivot into voice AI that roughly 180 investors passed on. The company built its voice, speech-to-text, and text-to-speech models in-house rather than wrapping outside providers, and has raised $115M total, including a $50M Series C in June 2026 led by Dell Technologies Capital. It runs about 113 people out of San Francisco, serving customers across healthcare, financial services, and insurance, including Mutual of Omaha and Samsara, and cites hundreds of millions of calls handled to date.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Bland's agent-facing surface on file is a developer API for building and deploying voice agents programmatically; no MCP, SDK, or CLI is documented. The company has moved to build its own voice-model layer rather than route calls through third-party models, shipping Speech v3, a text-to-speech model that topped a public audio-realism benchmark in August 2026, deepening what sits under that same API.
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