Fiber AI vs Leaping AI
Side-by-side comparison of AI visibility scores, market position, and capabilities
SF YC S23 B2B prospect data at 4x lower cost than Clay/Apollo/ZoomInfo with 40M+ companies and 850M+ professionals; TRAC/YC/Soma seed serving Ramp and DocuSign with 50+ data providers for surgical TAM list building.
About
Fiber AI is a San Francisco-based AI B2B prospecting and data platform — backed by Y Combinator (S23) with seed funding from TRAC, Y Combinator, and Soma Capital — providing GTM teams, sales organizations, and recruiting teams at enterprises and fast-growing startups with a comprehensive contact data and prospect list building platform that aggregates 40+ million companies, 850+ million professionals, 13+ million jobs, and 50+ data providers to deliver verified contact information at 4x lower cost than alternatives like Clay, Apollo, or ZoomInfo. Founded in 2023 by Adi Agashe and Neel Mehta, Fiber AI serves customers including Ramp, DocuSign, and Flatfile — enabling surgical TAM (total addressable market) list building with advanced filters for targeted outbound prospecting and outbound recruiting.
LLM voice AI for contact center automation handling 100K+ calls/day; 70% automation rate with 90% satisfaction in 10+ languages competing with Poly AI and Nuance for call center AI.
About
Leaping AI is a voice AI platform building autonomous agents that handle inbound and outbound phone calls for contact centers — replacing repetitive call center workflows with LLM-powered voice agents that can carry full conversations, resolve customer issues, and escalate to humans only when genuinely needed. The company has crossed 100,000 automated calls per day, automates up to 70% of repetitive phone calls across its customer deployments, and maintains 90% customer satisfaction scores while operating in 10+ languages 24/7.\n\nLeaping AI's voice agents use large language models with real-time speech-to-text and text-to-speech to handle complex conversational flows — not just simple menu navigation but actual troubleshooting, order management, appointment scheduling, and information retrieval interactions where the agent must understand context, access backend systems, and adapt responses based on what the customer says. The self-improving architecture means the agents learn from call outcomes to improve resolution rates and satisfaction over time.\n\nIn 2025, Leaping AI competes in the AI voice agent and conversational AI market with Poly AI, Nuance (Microsoft), Cognigy, Five9 with AI, and NICE CXone for contact center automation. The contact center automation market represents a massive opportunity — global call centers employ millions of agents, with voice handling remaining difficult to automate compared to chat and email. Leaping AI's LLM-native approach (built on foundation models from the start rather than retrofitting rule-based systems) provides more natural conversation quality than legacy AI voice vendors. The 2025 strategy focuses on expanding call volume with enterprise contact center customers, deepening integrations with CRM and ticketing systems that give agents access to customer context, and improving the multilingual capabilities for global enterprise deployments.
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