Leaping AI published a breakdown of how voice AI agents handle CRM calls across platforms like Lead Perfection, improveit360, Builder Prime, and ServiceTitan.
Public source
Publisher name
Public post
Not every call in your CRM was one your team picked up, but that doesn't mean they don't need to know what happened on it. When our voice AI agent handles a call, it mig…
Company
Leaping AI
Voice AI agents for businesses - automating customer service, appointment scheduling and ops calls across industries
- Industry
- Software Development
- Location
- San Francisco, US
- Company size
- 11–50 employees
About Leaping AI
Voice AI agents for businesses. Our Voice AI agents can be used for a variety of customer support, lead qualification and appointment scheduling use cases. We serve home remodelling, home services, travel, customer service and digital receptionist use cases. Dual headquarters in San Francisco and in Berlin.
See moreLatest activity
Latest activity from Leaping AI
3 signals
Presence & Recognition
Leaping AI released a new episode of Built for Growth featuring Christian Curry discussing automation and Panda Exteriors.
Presence & Recognition
Leaping AI was featured in a Built for Growth episode by Jay Shah from Bath & Cabinet Experts discussing how the company closes gaps in processes.
Discover more
Similar signals
Similar public activity from other companies.
Research & Knowledge
PolyAI
PolyAI published its State of Customer Conversations Report 2026, which highlights that only 21% of consumers believe agents are fully locked in and 15% say their conversations feel like talking to a brick wall.
Research & Knowledge
Netic
Netic published an engineering piece detailing the architecture of its voice agent system, including a single open-weight model, full conversation history in context, plain text procedures, and determinism at the tool boundary.
Research & Knowledge
ContractSafe
ContractSafe published a customer story detailing how AI agents handle daily work across sales and customer success, including CRM updates, call coaching, churn-risk alerts, win-loss intelligence, and business-review decks.
Research & Knowledge
RingCentral
RingCentral published a blog post stating that financial institutions are seeing an average 2.3x return on agentic AI investments within 13 months.
Research & Knowledge
Zendesk