Sabitlenmiş Tweet
Bland
3.8K posts

Bland
@usebland
Bland is the platform for AI phone calling. Build, test, and scale AI phone agents, and integrate with our API. Get started at https://t.co/xKQ75kUiHT
San Francisco, CA Katılım Ağustos 2023
478 Takip Edilen17.4K Takipçiler

@usebland Always fun showing off the demo at (415) 480-0000
English

A lot of people claim to have AI live. We are proud to prove it. Our impact for one customer:
$430,000,0000
Four hundred thirty million
Read: bland.ai/case-studies/a…
English

@Duinn1854802 We worked hard to generate this value and show our AI in the real world. Not going to be baited by some Anon account!!
English

Norm for iMessage is here. 🔵
Norm lets you get anything done in Bland via text. It can fix your pathways, run tests, pull reports, and send daily reminders.
Want to see how it works? Text 1-321-424-0172 and tell Norm to build you a phone agent.
Book a demo if you want to see how you can build your own iMessage agents in Bland. bland.com/for-enterprises
English

iMessage agents are here!
Turn your AI agent into a branded contact in every customer’s phone, not another anonymous SMS number.
With Bland iMessage, agents can:
- Send & receive photos, videos, PDFs, spreadsheets, and voice memos
- Use tapbacks, stickers, and native iMessage features
- Show typing indicators, read receipts, and blue bubbles
- Communicate with end-to-end encryption
We built an iMessage version of Norm. Everything you normally do in Bland, can now be done via text. Text +1 (321) 424-0172 to:
- Build or troubleshoot agents
- Send reports or daily reminders
- Query analytics
Want to build your own iMessage agent? Book a demo here: bland.com/for-enterprises
English
Bland retweetledi

One of our engineers has Zapier making calls for him.
Zapier SDK + Hermes Agent + Bland
Now he just messages his bot in Telegram: "call the pharmacy, see if my script is ready" and it makes the call (pending human approval, of course)
Just point your agent at the @Zapier SDK. Connect to 9,000+ apps with no extra setup.
Next up: Zoom meetings? 👀

English

We benchmarked our new transcription model (Fluent) across 250+ hours of real-world audio.
5.9% WER — vs 8.1% from the leading real-time voice AI provider and 6.5% from OpenAI's Whisper.
That's a 27% reduction in transcription errors. For voice agents, fewer errors = fewer misunderstood requests = more calls that resolve on the first pass.
Learn more: bland.ai/blogs/fluent-n…
Give it a try at app.bland.ai

English











