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LUPO vs Spara

Spara and LUPO are the two closest products in this category, AI agents that engage inbound buyers the moment they show up and carry them to a booked meeting. Both are built on the same bet: speed wins inbound. The divide is what happens underneath the conversation. Here is the honest comparison.

The short answer

Choose LUPO for instant engagement plus qualification depth. The chat agent engages the moment a visitor lands (it runs live on this site), high-intent forms get a callback inside sixty seconds, and the phone is answered on the second ring, 24/7. Each lead is enriched and scored for buying intent, so reps only see real buyers. Pricing stated upfront, 30-day founder-led pilot.

Choose Spara if AI-led product demos or SMS are the engagement surfaces you want. Pricing is publicly listed from 2,100 USD per month, billed annually.

At a glance

LUPOSpara
Built forB2B teams on HubSpot, Salesforce, or any CRM reachable by webhookSales and marketing teams converting inbound across B2B and B2C, as described in its launch announcement
ChannelsWeb form, email, chat, and phone, one agentic brain across all fourVoice, email, chat, and text AI agents, plus AI-led product demos
Speed to leadSeconds, on every channel: proactive chat agent on landing (running live on lupolabs.ai), sixty-second callbacks on high-intent forms, email replies in seconds, phone answered on the second ring, 24/7Seconds, publicly reported across voice, chat, email, and text
What happens underneathEvery lead enriched through a triple-source data waterfall (firmographics, technographics, decision-maker title) and scored with buying-intent triggers (funding, M&A, leadership hires, headcount growth) before a rep sees itConversational qualification; enrichment and intent scoring are not part of its public product story at the time of writing
CRM integrationsHubSpot, Salesforce, Slack, Google Calendar, and Microsoft 365 / Outlook live today; any CRM via webhookDescribed generically as a connected platform; specific CRMs not itemised publicly at the time of writing
PricingPriced per pilot, agreed upfront, 30-day pilotPublicly listed: 2,100 USD per month (Starter) and 3,750 USD per month (Growth), billed annually; Enterprise custom
CompanyIndependent, founder-ledLaunched September 2025

Sources: Spara launch announcement, BusinessWire, September 2025 and spara.com product and pricing pages. Spara positioning, channels, and pricing as publicly described or listed at the time of writing. Corrections welcome at hello@lupolabs.ai.

Last updated: June 2026

Same speed. Different depth.

Spara launched in September 2025 with 15 million USD in seed funding, and names customers including Rho, MarketMan, Jericho Security, and TinyMCE. Its launch announcement reports over 90 meetings booked in 30 days at one customer; the figures are Spara's own. The bet: engage buyers the instant they show intent.

LUPO makes the same bet, and adds a second one: speed alone gets you to every lead first, including the junk. On the engagement layer the two compete head-on: LUPO's own chat agent opens the conversation on landing, high-intent forms get a callback inside sixty seconds, the phone is answered on the second ring, 24/7.

Underneath sits the layer Spara's public story does not describe: every lead enriched with live company-signal data and scored for buying intent before a rep is ever involved. Speed wins the race to the lead. Scoring decides whether the lead deserved a race at all.

Which one fits your team

LUPO is the better fit when

  • You want instant engagement on every channel: proactive chat on landing, sixty-second form callbacks, email replies in seconds, phone answered live, with enrichment and intent scoring underneath
  • You want every lead enriched and scored for buying intent before a rep sees it, with junk filtered out
  • You want named, live CRM integrations: HubSpot, Salesforce, Slack, Google Calendar, Microsoft 365 / Outlook
  • You want stated pricing and a 30-day founder-led pilot, fully live in 2 to 4 weeks

Spara is the better fit when

  • AI-led product demos are an engagement surface you want alongside voice, email, and chat
  • You want SMS in the channel mix
  • Your inbound spans B2C as well as B2B, the mix its launch positioning describes

Common questions

What is the difference between LUPO and Spara?

They are the two closest products in the category, and they compete directly: AI agents that engage, qualify, and convert inbound leads in real time. Like Spara, LUPO engages visitors the moment they land, through its own proactive chat agent or one you already run. The split is the layer behind the conversation: LUPO enriches every lead with live company-signal data, scores buying intent before a rep sees it, answers inbound phone 24/7, and converts high-intent web forms with a callback inside sixty seconds.

Does Spara cover web forms?

Spara's public positioning frames instant AI engagement as the alternative to static forms; its named surfaces are voice, email, chat, text, and AI-led product demos at the time of writing. LUPO engages just as instantly and treats the form as a channel to convert: high-intent submissions get a callback inside sixty seconds, and senior buyers get a personal email with a booking link instead. Corrections welcome at hello@lupolabs.ai.

How does LUPO pricing compare to Spara?

The pricing models differ. LUPO is priced per pilot, agreed upfront, starting with a 30-day founder-led pilot. Spara publicly lists Starter at 2,100 USD and Growth at 3,750 USD per month, billed annually, with custom Enterprise pricing, as listed at the time of writing.

Who should choose LUPO over Spara?

Teams where web forms are a real channel, teams that want every lead enriched and scored for buying intent before a rep sees it, and teams that want named, live CRM integrations with stated pricing and a 30-day founder-led pilot. Spara fits teams that want AI-led product demos or SMS as engagement surfaces.

See LUPO on your own inbound.

A 20-minute call with the founder. Bring a real lead from last week and watch LUPO qualify it.