Bland AI
Enterprise voice AI agents for high-stakes, regulated phone calls
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About Bland AI
Bland is an enterprise voice AI platform purpose-built for high-stakes phone calls in regulated industries like healthcare, insurance, financial services, and logistics. Founded in San Francisco in 2023 by Isaiah Granet and Sobhan Nejad after being turned down by 180 investors, Bland made an early bet that voice AI required owning the entire technology stack rather than wrapping third-party models. The company built its own voice, LLM, speech-to-text, and text-to-speech models in-house, resulting in roughly 400ms latency versus an industry average closer to 1,240ms, and now handles over 3.5 million calls a week for more than 250 enterprise customers, having resolved over 584 million calls to date.
The platform centers on Conversational Pathways, a visual builder for designing call flows, paired with Norm, an AI assistant that can build a working agent from a plain-language description with no voice AI experience required. Before going live, agents can be tested across thousands of scenarios to catch edge cases, and Bland provides real-time call observability for enterprise-grade QA. Agents deploy across Voice, SMS, iMessage, and Web Chat with unified memory so context carries between channels, and connect to existing telephony, CRM, and scheduling stacks through integrations with Twilio, Salesforce, HubSpot, Genesys, Five9, NICE CXone, Amazon Connect, and more.
Bland is built for enterprises replacing IVRs, running AI call centers, and automating outbound sales, appointment scheduling, and lead qualification at scale, particularly in compliance-heavy sectors. The platform holds SOC 2 Type I/II, HIPAA (with BAA), GDPR, and PCI DSS v4.0 certifications, with self-hosted and on-premises deployment options and a 30-day framework for enterprise rollouts backed by a forward-deployed engineering team. Customers like MyPlanAdvocate, American Way Health, and IHFA report tens of millions of dollars in added revenue or savings from replacing manual phone processes with Bland agents.
Key Features
- In-house built voice, LLM, speech-to-text, and text-to-speech models with sub-second latency
- Conversational Pathways visual builder for designing call flows without code
- Norm AI assistant that builds voice agents from natural language descriptions
- Omnichannel deployment across Voice, SMS, iMessage, and Web Chat with unified memory
- Automated testing across thousands of call scenarios before production rollout
- Real-time call observability and enterprise-grade QA monitoring
- Native integrations with Twilio, Salesforce, HubSpot, Slack, Genesys, Five9, and more
- Support for 40+ languages with real-time translation in 23 and per-language voice cloning
Pros
- Fully in-house voice, LLM, STT, and TTS stack delivers roughly 400ms latency, well below the reported industry average
- Free Start plan with no credit card required makes it easy to test the platform before committing
- Simple all-in per-minute pricing bundles the LLM, speech-to-text, and text-to-speech with no separate token charges
- Strong compliance posture with SOC 2, HIPAA, GDPR, and PCI DSS certifications built in from the start
- Norm AI assistant and pre-tested Conversational Pathways speed up building agents without voice AI experience
Cons
- Fully proprietary model stack means customers cannot bring their own LLM, such as OpenAI or Anthropic models, unlike some competitors
- Build and Scale plans carry monthly platform fees on top of per-minute usage, which adds cost for lower-volume users
- Advanced features like warm/live transfers, guardrails, and custom dialing are gated behind paid tiers, unavailable on the free Start plan
- Enterprise-grade deployments with on-prem/VPC and forward-deployed engineers require custom, quote-based contracts
Pricing
Bland uses per-minute pricing with no token charges or model-provider pass-throughs. Start: free, $0.14/min talk time, $0.05/min transfer time, 10 concurrent calls, 100 calls/day, 1 voice clone, 10 knowledge bases, no card required. Build: $299/month platform fee, $0.12/min talk time, $0.04/min transfer time, 50 concurrent calls, 2,000 calls/day, 5 voice clones, 50 knowledge bases. Scale: $499/month platform fee, $0.11/min talk time, $0.03/min transfer time, 100 concurrent calls, 5,000 calls/day, 15 voice clones, 100 knowledge bases. Enterprise: custom, contracted to volume, with concurrency sized to need, on-prem/VPC deployment, forward-deployed engineers, BAA, SSO, and data residency options. Every plan's per-minute rate bundles the LLM, real-time speech-to-text, and premium text-to-speech voices/clones; telephony is billed separately at pass-through cost unless customers bring their own Twilio account (BYOT customers pay no transfer fees). Higher tiers add SMS/Web Chat, appointment scheduling nodes, warm and live transfers, guardrails, alarm monitoring, and compliance features like BAA and SSO.
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Connect with Bland AI
Frequently Asked Questions
Bland is an enterprise voice AI platform used to build, run, and monitor AI phone agents that hold real conversations at scale, working inbound and outbound, sounding human, and running entirely on Bland's own in-house infrastructure.
Bland charges one per-minute rate that covers the language model, speech-to-text, text-to-speech, and telephony, with no separate token charges or vendor invoices. Rates range from $0.14/min on the free Start plan down to $0.11/min on the Scale plan, plus optional monthly platform fees on paid tiers.
No. Unlike many voice AI competitors that wrap third-party models like OpenAI or Anthropic, Bland built its own voice, LLM, text-to-speech, and speech-to-text models in-house, and does not allow customers to swap in outside models.
Yes. Bland holds SOC 2 Type I and Type II, HIPAA (with signed BAA), GDPR, and PCI DSS v4.0 certifications, and offers self-hosted or on-premises deployment options for the most sensitive regulated workloads.
Most self-serve teams deploy a first agent within a day. Enterprise deployments with custom integrations, number porting, and compliance review typically go live within 28 to 30 days through Bland's forward-deployed engineering framework.
