HomeCompaniesLeaping AI

Leaping AI

Voice AI agents that are human-like and self-improve

With our platform, you can create and deploy voice AI agents, automating complex use cases and high call volume. We automated contact centers employing >100 human agents and now handle 70% of their incoming customer support and sales calls end-to-end. All while maintaining 90% customer satisfaction score. For another company, our voice AI agents were able to convert 30% of contacted leads within a week of the outbound campaign. A similar campaign with humans previously took that same company 5 weeks.
Leaping AI
Founded:2023
Team Size:6
Location:San Francisco
Group Partner:Garry Tan

Active Founders

Shraey Bhatia, Founder

Co-founder at Leaping AI (W25). We are building a next-gen CCaaS solution centered around LLM Voice AI agents. Previously PhD in NLP/LLMs from University of Melbourne
Shraey Bhatia
Shraey Bhatia
Leaping AI

Arkadiy Telegin, Founder

Co-founder at Leaping AI (W25). We are building a next-gen CCaaS solution centered around LLM Voice AI agents. Previously worked in autonomous robotics (self-driving cars, space-tech, and consumer applications). Led Germany's largest space-tech student organization's software division.
Arkadiy Telegin
Arkadiy Telegin
Leaping AI

Kevin Wu, Founder

Founder at Leaping AI, which is focused on automating contact centers with a platform that allows the deployment of human-like and self-improving Voice AI agents. Formerly was an Associate at BCG for 3 years. Studied Computer Science at TU Munich and at CDTM.

Company Launches

TLDR; Leaping AI creates voice agents for businesses with high call volumes (>100k calls a year). Our voice AI agents are human-like, handle complex workflows, and automate up to 70% of customer support calls while maintaining 90% customer satisfaction. They get better over time.

https://youtu.be/VZMd2VZW8EA

The Problem

Running a call center with humans is expensive.

Current voice AI solutions are either outdated or developer focused. With our solution, we target medium to larger sized businesses that want to have a cutting-edge solution, yet don’t have significant developer resources and want an easy to use platform.

The Solution

Our platform allows the deployment of powerful human-like voice AI agents for any customer support and sales support use case. There is a simple user interface to set up multi-stage agents with simple English prompt instructions for behavior and transitions. Agents can speak in multiple languages (English, German, Spanish, Arabic, etc.) and be plugged into your infrastructure with API connectors. All the calls are recorded and can be listened to and analyzed in our platform.

Our voice AI agents self-improve

Previously, we spent hundreds of hours together with our clients on manually listening to / evaluating calls and testing new prompts. Now, the agent autonomously performs post-call analysis, changes itself and runs A/B tests to improve prompting! We are seeing real day-on-day improvement on the rate of call transfers to humans while being fully hands off!

Case studies

We have been live with our product for a couple of months and currently power thousands of calls daily.

Some success stories:

  1. We are working with Hawesko, Germany’s largest wine merchant. They historically had >100 human agents and we are now taking 100% of incoming customer support calls for one of their brands (>1.000 calls per day). In select use cases such as wine purchasing, our voice AI agents have been able to autonomously conduct 70% of conversations without any human call transfer.
  2. For another retailer, we ran an outbound campaign on around 1.000 leads that did not complete the onboarding process. Within a week, we were able to convert 30% of leads contacted. When this retailer did similar campaigns in the past with human agents, they achieved the same result, but it took them 5 weeks.
  3. We are working with a Jamaican BPO call center that does Affordable Care Act (ACA) inbound / outbound pre-qualification calls. We are now doing >5.000 calls a day for them with our voice AI agents, taking over pre-qualification and handing over only pre-qualified customers to human agents – saving 1 minute per call on every call.

The team

We are Kevin, Arkadiy, and Shraey – we previously worked at Microsoft, BCG, and IBM Research and are now passionate about disrupting the contact center industry.

Our ask

If your company has >10 call center agents or works with a BPO doing phone-based customer support and / or sales, we would love to see if our voice AI agents can help you.

Likewise, if you are connected to someone that might be interested in our solution, we would love to get connected.

Email: founders@leapingai.com

Hear from the founders

What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?

Running a call center with humans is expensive. Current Voice AI solutions are either outdated (e.g., Kore AI, Sprinklr), targeting only the largest Enterprises, or are developer / SME focused. With our solution, we target medium to larger sized businesses that want to have a cutting-edge solution, yet don’t have significant developer resources and want an easy to use platform.

What is your long-term vision? If you truly succeed, what will be different about the world?

Our long-term vision is to be the world's first AI-first Call Center as a Service (CCaaS) platform that integrates voice AI agents, human agents, telephony and CRM in one platform disrupting established players, such as Genesys and Five9. Calls that cannot be completed by AI will be transferred to human agents that also will be managed through our platform. We will do this by offering integrated telephony and Automatic Call Distribution (ACD) modules that allow calls to be seamlessly transferred between AI agents and human agents. There is one joint reporting with an identical set of KPIs for all calls, whether conducted by AI or humans. Additionally, a CRM-like module will extract and store insights about users and make it available to AI and human agents.