Leaping AI review, pricing and verdict

Leaping AI suits home improvement and home services teams that lose leads to missed calls and slow follow-up. Expect a demo, a quote and onboarding rather than a trial. The vendor reports a 90% customer satisfaction score, but treat that as a claim, since no outside audit backs it.

Leaping AI, a San Francisco company from the Y Combinator Winter 2025 batch, sells voice and texting agents to call centers. The agents answer inbound calls, cover after-hours shifts, call back leads and send texts, mainly for home improvement firms. The vendor lists 15+ languages and publishes no prices.

Maker: Leaping AI · Autonomy: semi autonomous · Maturity: GA

Underlying models: Selectable by the customer (GPT and Claude are named by the vendor)

About Leaping AI

Leaping AI is a San Francisco company from Y Combinator's Winter 2025 batch, founded by Kevin Wu, a former BCG associate, and Arkadiy Telegin. It sells voice and texting agents to call centers, with most of its published customers in home improvement: roofing, windows, bath and kitchen remodeling. Industry pages also cover travel, insurance, real estate and medical practices. It counts as an agent rather than a tool because each AI caller holds a live conversation, decides what to do next, books into a calendar, writes back to the CRM and hands the call to a person when it should.

The vendor describes one agent doing four jobs: answering inbound calls, covering nights, weekends and holidays, calling back aged and fresh leads, and texting homeowners from the same number. It says inbound leads get a callback in about 7 seconds. Teams build agents in a no-code builder with multi-step prompting, version history and voicemail detection, and they can choose the language model behind each agent, with GPT and Claude named among the options. Its YC profile adds that agents can hold 100+ conversations at once and that the company runs its own number health monitoring and do-not-call checks. Closest peers on HokAI are Broccoli AI for home service contractors, Elyos AI for UK trades and Toma for car dealerships.

The evidence is mostly vendor case studies. Thompson Creek, a window company, is said to have booked $100,000 in appointments two days after going live on inbound calls. The most detailed public deployment is Eurowings, run with the outsourcer Ströer-X: it reached live calls within two months, and six weeks after launch the agent resolved about 10% of inbound inquiries on its own while transferring 82% to human agents. That mix, mostly handoff with context kept, is a fair picture of how the product behaves outside simple appointment booking.

Leaping AI publishes no prices; the pricing page is a quote request form, where a developer platform like Vapi lists rates. Its YC profile names Salesforce, HubSpot, MarketSharp, AccuLynx, JobNimbus and LeadPerfection as CRM connections, and a Business Insider headline from August 2025 reports a $4.7 million raise. Buyers weighing voice agents can start from Smart Match, which compares them against a brief.

Pricing

Leaping AI does not publish pricing. Its pricing page is a quote request form (name, work email and a description of your current set-up), and the vendor sells through a booked demo. No free tier or self-serve checkout is listed. If you need a figure first, [Vapi](/hub/tools/vapi) and [Retell AI](/hub/tools/retell-ai) publish per-minute rates.

Key Features

• One agent, four jobs: Inbound, after-hours, outbound and SMS agents share one calendar and CRM, with a claimed callback time near 7 seconds for new inbound leads.
• No-code agent builder: Multi-step prompting works like a flowchart, and version history lets a team compare and revert changes to an agent.
• Choice of language model: Customers pick which LLM powers an agent; GPT and Claude appear on the vendor feature list.
• Call handling controls: Voicemail detection, SIP transfers to humans, hosted telephony or your own carrier cover the telephony side.
• Multilingual calls: The vendor lists 15+ languages, and the Eurowings deployment ran German and English without a language menu.
• Knowledge bases and evals: Agents read websites and PDFs, every call gets an automatic summary, and voice AI evals test how an agent performs.
• Outbound campaigns: Agents call and text leads over a set period, and the YC profile says they can hold 100+ conversations at once with built-in do-not-call checks.
• Data residency: The pricing page cites GDPR and US privacy rules, with European data hosted inside EU borders.

Strengths

• Covers inbound, after-hours, outbound and SMS from a single vendor, so a remodeling call center does not stitch several products together.
• Lists remodeling-specific CRMs (MarketSharp, AccuLynx, JobNimbus, LeadPerfection) next to Salesforce and HubSpot, which suits its core buyers.
• Vendor case studies attach dollar figures, such as $100,000 in booked appointments for Thompson Creek, rather than only call counts.
• Transfers to a human with context kept, so a caller is not stuck in a bot dead end, as in the Eurowings deployment.

Weaknesses

• No public pricing: a quote request form is the only route, so you cannot compare cost before a sales conversation.
• The Eurowings pilot shows about 10% of inquiries resolved without a person and 82% transferred, so complex service calls still lean heavily on human agents.
• Most published case studies are home remodeling and home services firms, so other sectors have thinner public proof.
• Automation and satisfaction figures come from the vendor, and no third-party benchmark or audit was found.

Visit Leaping AI Official Site