BlandAI
Bland AI is a platform designed to enable developers to easily incorporate AI phone calling into their existing applications. By making use of a flexible and po...
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What is BlandAI?
Bland is an enterprise voice AI platform that enables businesses to build, deploy, and monitor AI phone agents that hold real conversations at scale. The platform handles both inbound and outbound calls with ultra-realistic, human-sounding agents that can operate 24/7 in any language. Agents plug into existing tech stacks including CRMs, telephony systems, and scheduling tools via a full REST API.
Key features include sub-400ms latency for natural conversations, self-hosted infrastructure ensuring data stays secure end-to-end, and Tornado Mode for automated fail-fix-re-test loops. The platform supports conversational Pathways for building hallucination-proof AI, real-time call monitoring with guardrails, warm transfers to humans, web widgets for embedding agents on websites, and batch calling for thousands of simultaneous calls. Custom voice clones, 40+ native languages with real-time translation in 23 languages, and AI-powered voicemail detection are also included.
Bland is designed for enterprises in regulated industries like healthcare, finance, and insurance that cannot afford to miss calls or hire more people to answer them. With SOC 2 Type I/II, HIPAA, PCI DSS, and GDPR certifications, the platform supports on-prem or VPC deployment. Forward Deployed Engineers help build the first agent end-to-end, with production deployment typically in 30 days.
BlandAI pricing
Pricing model: Free
One per-minute rate covers the language model, speech-to-text, text-to-speech, and telephony. There are no per-token charges, no per-feature surcharges, and no separate vendor invoices. Pricing scales with usage. Enterprise plans are contracted based on volume, dedicated infrastructure, and compliance requirements. No free tier is mentioned on the website. Book a demo or contact sales for enterprise pricing details.
BlandAI pros
- Sub-400ms latency for human-sounding conversations
- Fully self-hosted infrastructure with end-to-end data security
- One per-minute rate covers LLM, STT, TTS, and telephony
- No per-token charges or per-feature surcharges
- 40+ native languages with real-time translation in 23 languages
- SOC 2 Type I/II, HIPAA, PCI DSS, and GDPR compliant
- Handles 100% of call volume with infinite scaling
- Custom voice clones available per language
- Tornado Mode autopilots fail-fix-re-test loop
- Canary rollouts limit exposure during deployment
- Real-time call monitoring with deterministic guardrail actions
- 6 active guardrails included (discrimination, fraud, brand voice, etc.)
- Warm transfer to humans with full context
- Web widget embeds agents directly into websites
- Batch calling sends thousands of simultaneous calls
- Forward Deployed Engineers build first agent end-to-end
- On-prem or VPC deployment options available
- 99.99% uptime with zero marginal call costs
- Pronunciation guides for acronyms and brand names
- Built-in disposition tags for post-call analysis
BlandAI cons
- Enterprise-focused, may be overkill for small businesses
- No free tier mentioned on website
- Citation schemas are enterprise-only feature
- Custom guard rails limited to 5 for enterprise customers
- Turbo model excludes transferring, IVR navigation, custom tools
- Custom pooling dialing strategy is enterprise only
- Local dialing add-on requires separate purchase
- New accounts have strict rate limits
- Callback required for enterprise pricing details
- Complex conversation flows take 2-6 weeks to deploy
Frequently asked questions about BlandAI
What is Bland?
Bland is an enterprise voice AI platform. Customers use it to build, run, and monitor AI phone agents that hold real conversations at scale. Agents work inbound and outbound, sound human, run on Bland's own infrastructure, and plug into the tools your team already uses.
How does Bland pricing work?
One per-minute rate covers the language model, speech-to-text, text-to-speech, and telephony. There are no per-token charges, no per-feature surcharges, and no separate vendor invoices. Pricing scales with usage. Enterprise plans are contracted based on volume, dedicated infrastructure, and compliance requirements.
How long does it take to go live with production agents?
Most production agents go live in two to six weeks, depending on how complex the conversation flow is. Bland's Forward Deployed Engineer team builds the customer's first agent end to end. They own the pathway, the integrations, and the test loop with your ops team. Enterprise deployments are live in production in 30 days with discovery, build phase, testing, and dry run phases.
What certifications and compliance standards does Bland have?
Bland holds SOC 2 Type I and Type II, HIPAA, PCI DSS, and GDPR certifications. The platform was built around these standards, not retrofitted to them. Self-hosted and on-premises deployments are available for the most sensitive workloads. BAAs and DPAs are in place for healthcare and EU customers. Encryption includes AES-256 at rest, TLS 1.3 in transit, and HSM-backed keys.
What percentage of calls can Bland handle?
Bland is designed to handle 100% of calls. Most customers ramp there gradually. They start with high-volume, repeatable work like appointment booking, intake, IVR replacement, and identity verification. Complex edge cases route to humans with full context. Over time, the agent absorbs more of the workload.
What languages does Bland support?
Bland supports 40+ languages natively, with real-time translation available in 23 of them. Agents can switch languages mid-call when needed. TTS voices are available for every supported language, and custom voice clones can be trained per language. Supported languages include English, Spanish, French, German, Japanese, Korean, Chinese, Hindi, Italian, Portuguese, and many more.
Is Bland a wrapper for OpenAI?
No, Bland is not a wrapper for OpenAI. Your data never goes through a third party. There are no sudden changes to your model, pricing, or terms of service. You can deploy on-prem or in your VPC. Bland runs on its own infrastructure with self-hosted models.
What industries use Bland?
Bland is built for complex, regulated industries including healthcare, finance, and insurance. Customer examples include MyPlanAdvocate in insurance ($40M added in five months), Needle in healthcare ($1M in revenue from calls only AI can make), and IHFA in financial services ($750K saved by retiring the IVR).
How many enterprises run on Bland?
250+ enterprises run on Bland. The platform is used by companies across healthcare, finance, and insurance to run their call centers with AI phone agents.
What support does Bland offer?
Bland offers a Discord with live support and daily office hours to help solve any and all problems. For enterprise customers, there is a Forward Deployed Engineer team that builds the first agent end-to-end. There is also 24/7 on-call engineering with documented runbooks and SLA-bound notifications for incident response. A Starter Guide at university.bland.ai helps users learn to send their first phone call.