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Parse AI

Parse AI

Software Development

London, England 392 followers

Rebuilding hospitality with AI

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About us

We are deploying the world’s first emotionally intelligent AI agents for hospitality.

Website
parse-ai.com
Industry
Software Development
Company size
2-10 employees
Headquarters
London, England
Type
Privately Held
Founded
2025

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  • Parse AI reposted this

    View profile for Taj Zantout
    Taj Zantout

    We spoke with 100 General Managers about their biggest staffing challenges. Here’s what we learned: The multilingual labor problem isn’t temporary. Wage inflation is structural. Turnover is permanent. Coverage gaps are inevitable. Hotels can’t keep solving a structural labor problem with more hiring. → That’s why we built Parse AI: Always-on, multilingual AI support for guests and staff — helping hotels automate routine requests, coordinate operations, and deliver consistent service across properties.

  • Parse AI reposted this

    View profile for Taj Zantout
    Taj Zantout

    During peak hours, hotels can miss 40–60% of incoming calls — whether from guests in-room or potential bookers trying to reach the property. This is not just an operational issue. It is a revenue problem. A missed call often represents: • a direct booking enquiry • a high-intent room service order • a repeat customer In busy properties, this can mean 100+ missed calls per week, especially during peak hours and shift changes. Yet most hotels still treat call handling as a front desk task, not a commercial function. That gap is where revenue is lost. Guest expectations have also changed. Travellers expect: • instant responses • multilingual support • seamless communication across channels But most teams are already stretched. This creates a structural problem: high demand, limited capacity to respond. This is where we operate. Parse AI handles guest communication across channels, routes requests instantly, and supports guests in 20+ languages. The result is simple: faster response, better experience, and more revenue captured during the stay.

  • Parse AI reposted this

    View profile for Taj Zantout
    Taj Zantout

    Hotel operators: we build the world's first AI solution to streamline the guest experience. Most in-stay guest friction is not caused by service quality. It is caused by poor coordination. A guest asks for towels. Then room service. Then late checkout. Then follows up because nothing moved. Simple requests. But they rarely move in a simple way. Front desk gets pulled in. Housekeeping gets delayed. Messages get missed. Guests ask again. Nothing fully breaks. But nothing flows either. That is where the pressure builds for both guests and staff. The best hotel operators will not just improve service. They will improve how requests move across the property in real time, in any language, without forcing staff to handle the same redundant questions again and again. That is exactly what we are building at Parse AI.

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  • Parse AI reposted this

    View profile for Karim Abou Melhem
    Karim Abou Melhem

    Private Equity operators managing restaurant groups, give this a 10-second read. 4 locations are missing 1,500 calls per month. At a £40 average order value, that puts £60,000 of revenue at risk. Not because demand is weak. Because demand is not being captured when it comes in. If you had a way to answer those missed calls, you would not just increase revenue. You would also unlock more cash flow to support other parts of the business. That matters a lot more in this market than most operators admit. The restaurant groups that win over the next few years will not just be the ones with demand. They will be the ones that capture more of it, convert more of it, and turn it into cleaner operating performance across the portfolio. We built Parsey AI to do exactly that. If you want to see it in action, DM me directly and I’ll book you in for a demo.

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  • View organization page for Parse AI
    Parse AI

    392 followers

    Phone bookings remain one of the only zero-commission channels hotels fully control. No OTA. No cut. Direct relationship. Owned data. Yet most hotel groups invest the least in it. 50% of peak-hour calls go unanswered. For a 20-property group, that's £600k–£1M in annual lost revenue. Not from lack of demand - from nobody picking up. Three value drivers for hotel groups using voice AI. Swipe through.

  • View organization page for Parse AI
    Parse AI

    392 followers

    PE operators: 50% of peak-hour calls go unanswered at restaurants. That's direct revenue loss and cash flow pressure. For consolidated groups, voice AI creates three specific advantages: → Zero revenue leakage (every call answered) → Portfolio-wide scale (deploy once across all locations) → Negotiation leverage with lenders (AI deployment signals operational sophistication) We Observed: 20-location operator, 31% booking increase, £33k month-one revenue. Voice AI built for portfolio scale.

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