Bland AI

TL;DR:

• 13.5 billion phone calls are made every single day. Hundreds of millions of those occur in call centers.
• The call center economy is a >$30 billion industry that is growing >10% year over year.
• Our customers use Bland to build AI phone agents that handle the bulk of their call volume. Whether these calls are for customer support, sales, or appointment setting, Bland makes these calls cheap and efficient.

The Problem

More than half of the population prefers talking on the phone with businesses instead of email and chat. The average cost per call for US-based companies is somewhere between $3.00 and $5.00. Enterprises need call centers– but they are impractical to run and difficult to affordably staff.

Call center jobs have some of the highest turnover in the world. They are grueling, don’t pay well, and highly repetitive. This means:

• High cost for training, onboarding, and recruiting
• Agents that don’t have the context or education to handle moderately complex calls

These calls are the backbone of how enterprises interact with their customers. We’ve all been stuck on hold for hours, transferred through dozens of different organizations to get to the right supervisor, all to waste the bulk of a day fixing a simple problem.  Customers hate this, get exasperated and angry, and the call center worker, two weeks into the job, has to deal with a rightfully frustrated customer. The business loses trust with the customer and has no real way to build a better process.

Solution

Using Bland, companies build AI phone agents that are hyper-educated, have strict guardrails, and integrate into every part of their tech stack. By building a true end-to-end infrastructure, these agents have Enterprise-grade stability, sub-1 second latency, and the ability to infinitely scale. Companies build the agent, integrate it into their CRMs and databases, and expand the use case whenever they need to.

To negate hallucinations we’ve built out our own programming language called Conversational Pathways, which allows you to split prompts into unique nodes.

For best-in-class latency and security, we built and hosted our own TTS, Inference, and Transcription models.

For observability, we provide full transparency into what’s happening during every call, from real-time logs to post-call analysis.

We’re trusted by Sears, Better.com, and backed by investors like Scale Partners and Jeff Lawson to change the way enterprises interact with their customers forever.

https://youtu.be/kev5w-6WUyA