Voice AI for the calls that can’t go wrongVoice AI for high-stakes calls
Bland automates the calls where a single misstep can mean a lawsuit or a patient in danger. Every call runs on Bland’s own models and infrastructure, with no third-party vendors. Self-host it in your cloud or on your premises, or run it in ours.Bland automates the most regulated, complex calls end to end, on its own models and infrastructure, so you can handle more volume without adding headcount. Self-host it in your cloud or on your premises, or run it in ours.
Bland is the voice AI platform for regulated industries. Your agent takes the call from hello to resolution, with no person on the line unless one is needed.
End to end
The agent answers, verifies who is calling, works in your systems and finishes the job. The cases it shouldn’t handle go to your team with the full context.
Tens of millions of calls a month run on Bland: inbound and outbound, in 40+ languages, at any hour.
The only voice AI that runs entirely on its own models
Other platforms stitch vendors together and leave the maintenance to you. With Bland, your agents are handled end-to-end by the people who built every layer of the technology.
Text to speechAvailable now
Bland Speech v3
Turns text into speech that sounds like a person. In blind listening tests, only recordings of real humans ranked higher.
0:09
“Thanks for calling Home Appliance Solutions. Um, how can I help you today?”
Built for
Phone calls, where polish reads as fake
Sounds like
A person: the breaths, stumbles and pauses stay in
Any region in the world: Bland’s cloud, your cloud, or on your premises.
Your premises
On-premises, for the most sensitive workloads
Your cloud
Deployed in your own cloud account
Bland’s cloud
Managed by Bland, in any region
99.999%uptime, guaranteed. That is about five minutes of downtime in a year.
Dedicated infrastructure, at scale
Dedicated to you. Your calls never share capacity with another customer.
Uptime
Five nines, written into your service-level agreement
Capacity
Reserved for your peak volume, on a platform that handles tens of millions of calls a month
Pricing
Contracted rates that stay put as your volume grows
Fine-tuned models
Fine-tuned on your own calls, vocabulary and policies.
Vocabulary
The names, terms and acronyms your callers use
Policies
Your scripts, disclosures and escalation rules
Voices
Custom voice clones, trained per language
Security high-stakes calls demand
Because calls don’t ever leave to a 3rd party, your customer data never trains other models, you eliminate outside points of failure, and you’re never victim to unexpected model changes.
To the person on the line, the call is your company. On a high-stakes call there is no second try.
Give your agent the most realistic voice in AI
When your agent answers, it speaks for your whole brand. Give it the only voice that’s purpose-built for phone calls, trained on real conversations, and ranked #1 for realism and speed.
Audio Realism Bench
Human speech0.99
Bland0.91
Kalpa Labs0.72
Microsoft0.66
ElevenLabs0.61
Cartesia0.60
Grok0.59
Google0.56
Blind listening scores from 0 to 1: how often listeners judged a voice to be human. Method and full results
“Most people think Emily is a real person.”
Jake PetersVP of Growth, MyPlanAdvocate
“Bland transfers callers after verification of their loan, which reduced the amount of transfers by an incredible amount.”
Build end-to-end agentsCreate agents that handle every kind of conversation, especially the complex ones. Deploy them on phone, SMS, and web, and connect them to any system.
Build end-to-end agents
Create agents that handle every kind of conversation, especially the complex ones. Deploy them on phone, SMS, and web, and connect them to any system.
Agents/Patient lineLive
Settings
Voice
Alona
Language
English, Spanish
Channels
Phone, SMS, Web
Connected
Athena, Availity
Disclosure
Recording notice
Guardrail
No medical advice
Escalation
On-call nurse
PathwayGreetRead disclosureRequired, every callVerify identityName and date of birthScheduleTriageRefillEscalate to nurseFever of 102.5°F or higher
Get full observability
Voice AI shouldn’t be a black box. See exactly why your agent made each decision, so you can diagnose and fix things fast.
Calls/Account servicingResolved
Trace00:01Recording disclosure read00:04Caller asks to change autopay date00:06Tool · lookup_account00:09Authenticate identity using SSN00:12Tool · update_autopay00:15Confirms the new date with the caller
Why the agent did thisAuthenticate identity
Triggered by
Account change
Rule
Verify before changes
Checked
SSN ••• •• ••••
Result
Verified
Next
update_autopay
Logged to the audit trail, PII redacted
Agents that improve themselves
Make your agent better without risking your live calls. Test every change safely, then measure the difference it makes.
Start a phone call with one request. Every call runs on Bland’s own models, so there is no speech, language, or voice vendor to wire up.
Latency
200ms response time
Scale
1M simultaneous calls
Languages
40+ supported
The text to speech API built for live conversation. Ranked first among AI voice models in blind listening tests; only recordings of real people scored higher.
First audio
199ms
Streaming
HTTP chunks or WebSocket
Voice cloning
From about 10 seconds of audio
Run Bland from your terminal, or hand it to your coding agent. The MCP server ships with the CLI and works in Claude Code, Cursor, or any MCP-aware editor.
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.
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.
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. You're not stitching it together yourself.
Bland holds independently audited SOC 2 Type I and Type II reports, is HIPAA compliant, and self-attests to PCI DSS v4.0.1. Its security program also covers ISO 27001:2022, GDPR, and FedRAMP Class A, with evidence for each available through the Trust Center. 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.
Yes. Companies run full AI call centers on Bland: agents answer thousands of concurrent calls, handle routine requests end to end, and route edge cases to humans with full context. Bland works as a standalone AI contact center or alongside your existing team and telephony.
An IVR makes callers navigate menus with a keypad. Bland replaces it with conversation: callers state what they need, and the agent understands, acts, and resolves in natural language. Companies typically replace their IVR first, then expand the same agent across the full call volume.
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.
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.
Dedicated infrastructure for your high-stakes calls
Your calls run on Bland’s own models, on infrastructure dedicated to you. No third-party vendors and no outside points of failure.