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Bland

Bland is an enterprise voice AI platform for building, running and monitoring inbound and outbound AI phone agents with workflows, integrations, APIs, knowledge bases and human handoffs.

About Bland

Bland is an enterprise voice AI platform for building, running and monitoring AI phone agents. Its agents can handle inbound and outbound calls, conduct multi turn conversations, collect and process information, qualify callers, schedule appointments, route requests and transfer calls to human teams when required.

Agents can use Conversational Pathways for branching workflows, knowledge base lookups and real time API calls. Bland supports integrations with CRM, scheduling, telephony, contact center, messaging and automation systems. Custom systems can be connected through REST APIs and webhooks, while Bland also provides an MCP server for Claude Code, Cursor and other MCP aware editors.

Bland supports deployment across voice, SMS, iMessage and web chat with unified memory across channels. The platform also provides testing before production, real time call observability, transcripts, searchable conversations and call intelligence capabilities.

The platform is designed for organizations automating customer conversations, including use cases in healthcare, insurance, financial services, logistics, telecommunications, travel and hospitality. Enterprise deployment options include dedicated infrastructure, on premises or VPC deployment and configurable human escalation paths.

Key Features

  • Agentic Phone Conversations: Handles inbound and outbound multi turn phone conversations and can authenticate callers, collect information, answer questions, qualify callers and make workflow decisions.
  • Conversational Pathways: Uses branching conversation workflows with real time API calls, knowledge base lookups and configurable escalation paths.
  • Tool and System Actions: Connects agents to CRM, scheduling, telephony, automation and custom systems, including the ability to read and write data through supported integrations and APIs.
  • Human Handoff: Supports warm transfers, routing to departments, messages and callback scheduling with conversation context available for escalation.
  • Omnichannel Memory: Supports voice, SMS, iMessage and web chat with context synchronized across channels.
  • Testing and Observability: Supports preproduction scenario testing, real time call monitoring, transcripts, searchable conversations, outcomes and call analysis.

Pricing

  • Start: $0.14/min $0 platform fee. Includes 10 concurrent calls, 100 calls per day, one voice and 10 knowledge bases. Transfer time is $0.05/min.

  • Build: $0.12/min $299/month platform fee. Includes 50 concurrent calls, 2,000 calls per day, five voices and 50 knowledge bases. Transfer time is $0.04/min.

  • Enterprise: Custom Contracted based on usage volume. Supports concurrency sized to volume, on premises or VPC deployment, Forward Deployed Engineer availability, BAA, SSO and data residency options.

Use Cases

  • Inbound customer service and call routing
  • Outbound lead qualification and follow up
  • Appointment scheduling and confirmations
  • IVR replacement and automated call center workflows

Pros & Cons

Pros:

  • Supports multi turn voice workflows with branching logic, knowledge base lookups and real time API calls.
  • Provides integrations across CRM, telephony, scheduling, contact center and automation systems, plus REST APIs, webhooks and MCP access.
  • Supports configurable escalation to humans and testing and monitoring tools for production voice workflows.

Cons:

  • Start is limited to 10 concurrent calls, 100 calls per day, one voice and 10 knowledge bases.
  • Build is limited to 50 concurrent calls, 2,000 calls per day, five voices and 50 knowledge bases.

Integrations

SMS & RCS, iMessage, Custom API, Twilio, SIP, Genesys, Five9, NICE CXone, Amazon Connect, Talkdesk, Salesforce, HubSpot, Cal.com, Calendly, Notion, Slack, Zapier, Make, Pipedream, REST API, webhooks, Bland MCP server, Claude Code, Cursor

FAQ

Last edited

September 28, 2026 at 8:38 AM by Venkatraman Chandrasekaran

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