Automate complex calls with AI agents you own
Visit WebsiteTL;DR - Bland
- Automates complex phone calls with human-like AI agents, available 24/7.
- Offers flexible deployment options (on-premise, VPC, cloud) for data control and security.
- Integrates with existing business tools and supports omnichannel communication with shared memory.
Pricing: Free plan available
Best for: Growing teams
5.0/5 across review platforms
What is Bland?
Bland is an enterprise voice AI platform designed to automate complex phone calls using AI agents. It enables organizations to build, run, and monitor AI phone agents that can engage in real conversations at scale, handling both inbound and outbound calls. These agents are built on infrastructure that customers can own, either on-premise or within their own Virtual Private Cloud (VPC), ensuring data privacy and control. The platform is ideal for teams in regulated industries such as healthcare, finance, and insurance, who need to manage high call volumes, reduce operational costs, and ensure compliance. Bland's AI agents can perform tasks like lead qualification, claims intake, scheduling, IVR replacement, and compliance disclosures across multiple channels including voice, iMessage, and web chat, all while maintaining a consistent memory and context. It integrates seamlessly with existing telephony, CRM, and scheduling systems, offering a full REST API for custom connections.
Pros & Cons
Pros
- Provides full control over infrastructure and data, avoiding third-party LLM dependencies.
- Enables rapid deployment of complex AI agents, often within a short timeframe for enterprises.
- Offers comprehensive testing and monitoring tools to ensure agent performance and prevent issues.
- Supports highly regulated industries with robust security and compliance features.
- Maintains consistent context and memory across multiple communication channels.
Cons
- Requires enterprise-level commitment and resources for deployment and management.
- The initial setup and integration might be complex for organizations without dedicated technical teams.
- Pricing scales with usage, which may become significant for very high call volumes.
Ratings Across the Web
5(10 reviews)
Ratings aggregated from independent review platforms. Learn more
Key Features
Customizable AI agent building (Norm builder)On-premise or VPC deployment optionsReal-time call monitoring and observabilityConfigurable guardrails for call control and complianceTornado Mode for automated testing and iterationCanary rollouts for gradual traffic increase and risk managementOmnichannel memory (voice, iMessage, SMS, web chat)Full REST API for custom integrations
Pricing Plans
Free TrialPricing checked Jul 30, 2026
Free Tier
Free
- 2 free credits
- free inbound number ($15/mo value)
- $0.14/min talk time rate
- $0 platform fee
- 10 concurrent calls
- 100 calls/day
- 1 voice clone
- 10 knowledge bases
Build
$299/month platform fee
- Lower per-minute rates
- Higher rate limits
- $0.12/min talk time rate
- $0.04/transfer min
- 50 concurrent calls
- 2,000 calls/day
- 5 voice clones
- 50 knowledge bases
Scale
$499/month platform fee
- Lowest per-minute rates for high-volume operations
- $0.11/min talk time rate
- $0.03/transfer min
- 100 concurrent calls
- 5,000 calls/day
- 15 voice clones
- 100 knowledge bases
Enterprise
Custom
- Dedicated infrastructure with the controls regulated teams require
- Contracted to your volume
- Unlimited concurrent calls
- On-prem / VPC deployment
- Dedicated FDEBAA, SSO, data residency
- Everything included in your per-minute rate
Reviews
5.0/5
Across 10 verified user reviews on g2
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Bland FAQ
What is Bland AI?
Bland is an enterprise voice AI platform that allows customers to build, run, and monitor AI phone agents capable of holding real, human-like conversations at scale for both inbound and outbound calls. These agents operate on Bland's own infrastructure and integrate with existing business tools.
How does Bland's pricing model work?
Bland uses a per-minute pricing model that covers the language model, speech-to-text, text-to-speech, and telephony. There are no additional per-token charges, feature surcharges, or separate vendor invoices. Pricing scales with usage, and enterprise plans are customized based on volume, dedicated infrastructure, and compliance needs.
How long does it typically take to deploy a Bland AI agent into production?
Most production agents go live within two to six weeks, depending on the complexity of the conversation flow. Bland's Forward Deployed Engineer team assists in building the initial agent, managing the pathway, integrations, and testing process.
Can Bland AI agents handle complex, multi-turn conversations?
Yes, Bland agents are designed to handle complex, multi-turn conversations. They utilize Pathways for branching logic, real-time API calls, and knowledge base lookups to authenticate callers, collect information, manage objections, and make decisions.
What happens if a Bland AI agent cannot resolve a customer's request?
When an agent cannot help, the escalation path is fully configurable. Options include warm-transferring to a human agent with full conversation context, taking a message, scheduling a callback, or routing to a specific department, all customizable per pathway.
How does Bland ensure data security and compliance for sensitive industries?
Bland is SOC 2 Type II certified, HIPAA-eligible with Business Associate Agreements (BAAs), GDPR compliant, and PCI DSS certified. It runs on its own infrastructure, ensuring call data does not pass through third-party large language models like OpenAI or Anthropic, and offers features like AES-256 encryption, role-based access controls, and 24/7 incident response.
Does Bland support omnichannel communication?
Yes, Bland supports omnichannel communication, allowing the same AI agent to maintain memory and context across various channels including voice, iMessage, SMS, and web chat, providing a consistent experience for users.
What deployment options are available for Bland's infrastructure?
Bland offers flexible deployment options including Bland Cloud (multi-region, SOC 2 II, HIPAA), deployment within your own Virtual Private Cloud (AWS, GCP, Azure) where no customer audio leaves your network, or air-gapped on-premise hardware for enterprises that prefer to bring their own LLM, STT, and TTS.
Source: bland.com