Eva Live announced the beta launch of Fast Quote Direct, an AI‑driven quoting engine that replaces traditional online forms with a dynamic question‑and‑answer interface. The platform targets high‑intent traffic in financial services, insurance, home services, and other service categories, aiming to convert visitors into fully qualified customers in a single interaction.
Fast Quote Direct uses adaptive AI learning to refine targeting and matching in real time, reducing acquisition costs and improving conversion efficiency. It functions as a category expert across multiple service verticals, allowing consumers to quickly find the right provider while giving businesses higher‑quality opportunities. "After launching NeuroServer, we recognized the opportunity to convert high‑intent traffic into real transactions through a fully automated quoting experience,” said Ryan Bartlette, Head of Product & User Experience at Eva Live. “Fast Quote Direct performs the majority of the qualification work automatically and functions as a category expert across multiple service verticals. This allows consumers to quickly find the right provider while giving businesses higher‑quality opportunities.”
The beta launch is part of Eva Live’s broader strategy to move beyond traffic generation into full‑cycle customer acquisition. By integrating Fast Quote Direct with its NeuroServer ecosystem, the company seeks to capture a larger share of the U.S. online lead generation market, estimated between $1.6 billion and $3 billion. The move leverages Eva Live’s AI automation strengths and positions it to monetize the entire customer journey.
Eva Live has been profitable for five years. In Q2 2025 the company reported revenue of $4.14 million and net income of $2.63 million; for the first half of 2025 revenue was $7.82 million and net income $4.62 million. Earnings have grown at an average annual rate of 42.2%. The beta launch is expected to accelerate revenue growth by expanding the product portfolio and deepening client relationships.
Investors reacted cautiously, citing concerns about execution and the company’s ability to convert its AI platform into recurring revenue.
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