Insurance fraud remains a significant challenge for the industry, with the FBI estimating that the total cost of insurance fraud (non-health insurance) is more than $40 billion per year. This translates to increased premiums for policyholders, costing the average U.S. family between $400 and $700 per year in extra
The real estate industry faces significant challenges in lead qualification, often resulting in wasted time and resources. According to a national association of realtors study, only 10% of leads convert to transactions, highlighting the need for efficient qualification processes. Additionally, with the increasing volume of inquiries, real estate professionals struggle
As we conclude Vapi Launch Week, we're excited to introduce one final game-changing feature: Call Analysis! 📊 This powerful new addition to the Vapi platform allows you to summarize, evaluate, and extract valuable insights from your voice assistant calls. 🔍 What is Call Analysis? Call Analysis is a feature that
As we approach the end of Vapi Launch Week, we're excited to introduce two powerful features that will help you create more personalized and efficient voice assistants: Assistant Overrides and Variables and Call Logs! 🎉 🎨 Assistant Overrides and Variables With Assistant Overrides and Variables, you can now re-use the
We're midway through Vapi Launch Week, and we hope you're enjoying and leveraging all the powerful tools we've released so far! Today, we're excited to introduce a feature that will take your voice assistants to the next level: Tools integration! 🛠️ What are
As part of the Vapi Launch Week, we're excited to introduce a feature that will transform the way you collaborate with your team on voice AI projects: Organizations! What are Organizations? Organizations allow you to create shared workspaces where you can invite teammates, collaborate on assistants, and share
We're excited to announce the start of Vapi Launch Week, a week-long event where we'll be introducing powerful new features to help you build better voice AI applications. To kick things off, we're excited to introduce Squads, a feature that allows you to break
Efficiency and responsiveness are key to capturing and converting leads. Traditional methods of lead qualification and appointment scheduling often struggle to keep up with the growing demand for quick and personalized interactions. This is where AI voice callers come into play, revolutionizing the way businesses engage with their potential customers.
In recent years, the demand for efficient and personalized customer support has skyrocketed. As businesses strive to meet these expectations, many are turning to automated support centers powered by AI and voice technology. These smart systems are changing the way companies interact with their customers, offering 24/7 availability, scalability,
Vapi lets developers build, test, & deploy voice AI agents in minutes rather than months.
In the world of voice AI, performance is key. Users expect seamless, natural conversations without delays or hiccups. To meet these expectations, developers must optimize their voice AI assistants for speed and efficiency. In this article, we'll explore how to squeeze the most out of AI voice calling
The latest addition to Vapi's arsenal of tools is the Knowledge Base feature, which allows business owners, founders, and developers to seamlessly integrate custom documents and files into their voice AI assistants. This revolutionary feature eliminates streamlines the process of training voicebots and enhancing the overall user experience.
In today's fast-paced customer service environment, where high expectations and low patience are the norm, Voice AI is making a significant impact. This technology is changing how businesses interact with their customers, offering a new level of efficiency and engagement. With the adoption of advanced tools such as
So, this is GPT-3.5-turbo running on Vapi. There’s a secret code in the prompt, press on it to start, it’s your job to make it squeal: If that doesn't work, try it here: Demo Link Okay, so how did we do it?— Short version: a
One of the great things about being at Vapi is seeing the amazing things our users are dreaming up and building daily. Here are four cool use cases I wanted to throw out into the collective. 1. The Ultimate Personal Stylist in Your Pocket or Wherever You Carry Your Phone
Okay okay, the title of this post has nothing to do with the topic at hand other than the fact that Inception is one of my fave movies. Now that I’ve got that off my chest, let’s talk exploits. Specifically, what are known as “inception attacks” on VR
Vapi goes far beyond just the creation of voicebots via our dashboard and API. In this post, we’re discussing additional functions we provide to developers as you create and implement voice assistants on our platform. We’ve enabled three functions for our voice assistants: transferCall, endCall, and dialKeypad, as
As you already know, Elon Musk is suing OpenAI and Sam Altman. I in turn have read the full complaint, and done my best to provide an objective analysis from a legal standpoint. (You all know the players and the broader context, so we’ll get directly to the down
In this post, we're going to talk about how you, as a developer, can quickly build your own voicebot for a specific use case in the Vapi API. If we were starting from scratch, the first thing we'd need is a backend infrastructure, i.e., Transcription,
One of the things I love about working in the AI space is the positive impact it can have on the day to day lives of individuals. I recently came across an episode of the Wall Street Journal podcast “The Future of Everything” that discussed ways AI voice assistants can
Yesterday, Tim Cook made a new statement regarding AI at Apple’s annual shareholder meeting. Since it came out after I posted yesterday’s blog post, I wanted to address a couple of new implications around Apple’s AI efforts. Changing Up the Language Something interesting was Cook’s use
As many of you have no doubt heard, Apple has called off their Apple Car project. Bloomberg also reports that some of the Apple employees who were working on this will be moved over to the AI division. This made me curious as to what Apple is up to in
