Build
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.
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.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.
Click to speak with an agent
230+ regulated companies run on Bland
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.
| Bland | Every other voice AI platform | |
|---|---|---|
| Listen | Speech to text | 3rd party STT |
| Think | Large language model | 3rd party LLM |
| Talk | Text to speech | 3rd party TTS |
| Built and run by one team | Stitched together from other vendors |
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.
Go to Trust CenterGive 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.
“Most people think Emily is a real person.”
Jake PetersVP of Growth
Audio Realism Bench
- Human speech0.99
- Bland0.91
- Kalpa Labs0.72
- Microsoft0.66
- ElevenLabs0.61
- Cartesia0.60
- Grok0.59
- Google0.56
“Bland transfers callers after verification of their loan, which reduced the amount of transfers by an incredible amount.”
Greg BlakeChief Information Officer
Lower costs, more revenue, happier customers
Automate your hardest calls
(and all the other ones, too)
Monitor
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.
Improve
Agents that improve themselves
Make your agent better without risking your live calls. Test every change safely, then measure the difference it makes.
Hear Bland handle every kind of call
- Banking · Account question
IVR replacement
Answer inbound calls without a phone tree, from order status to fraud disputes.
0:07 - Healthcare · Appointment reminder
Appointment scheduling
Book, confirm, and reschedule appointments, including the ones a patient can’t afford to miss.
0:12 - Utilities · Storm outage
After-hours & overflow coverage
Cover nights, weekends, and surges, when the most urgent calls tend to come in.
0:07 - Government · Income verification
Verification & data collection
Collect and verify details on the call, from identity checks to insurance claims.
0:09 - Healthcare · Billing
Payments, billing, & collections
Take payments over the phone and work every past-due account.
0:09 - Healthcare · Post-op check-in
Patient care coordination
Arrange rides to treatment, follow up after discharge, and answer questions about care.
0:09
If you can click it, you can curl it
Everything Bland does is an API call away. Built by people who read the docs first.
Calls API
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
curl -X POST https://api.bland.ai/v1/calls \ -H "Authorization: $BLAND_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "phone_number": "+14155552120", "task": "Qualify refi lead", "voice": "june" }'Text to Speech API
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
curl -X POST "https://api.bland.ai/v2/tts" \ -H "Authorization: Bearer $BLAND_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "text": "Thanks for calling. <|0.4|> How can I help you today?", "voice": "29158307-9893-4149-8a75-bc9ce313d64e", "controls": { "expressiveness": 0.8, "stability": 0.4 }, "audio": { "container": "wav" } }' \ --output hello.wavCLI and MCP
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.
- Install
- npm install -g bland-cli
- MCP server
- npx bland-cli mcp
# Install the CLInpm install -g bland-clibland auth login --key $BLAND_API_KEY # Send a call from your terminalbland call send +14155552120 \ --task "Qualify refi lead" \ --voice june # Or give Bland to your coding agentnpx bland-cli mcpFrequently asked questions
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. 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.