Hire Space VS Planned

Planned has built an impressive enterprise platform: proactive AI that sources, negotiates and processes invoices across a marketplace of tens of thousands of suppliers, all under a single vendor of record so finance gets one consolidated bill. The engineering is serious, and for a team that wants policy, approvals and spend control enforced automatically it does a genuinely strong job. The thing to understand is what the AI stands on. It recommends, and you book, from the supplier network Planned has assembled and verified. That curation is exactly why the recommendations feel reliable, because the AI stays inside a known, vetted list. It is also the boundary. However good the matching is, the venues it can reach are the venues already on the platform, and the price it works with comes from that same network rather than the open market.

Hire Space starts from the venue and the price, then works outward. You get the one-supplier control a finance team needs, one contract, full spend visibility, in-policy bookings and reporting across 37 currencies, and on top of that two things a curated platform cannot give you. The first is reach: our research runs across the entire market, any venue in any city, including new openings and spaces that have never been listed anywhere, so you are never capped to a network. The second is grounding: every estimate is anchored to more than a decade of what venues actually charged for real briefs, so a recommendation arrives with a realistic, data-backed number attached in about ten seconds. It is indicative rather than confirmed, and the venue sets the final figure, but you start from a real price across the whole market rather than a suggestion from a closed one. People are there when an event needs them, the same as Planned, sitting on top of instant grounded intelligence.

The first thing that sets us apart is what the estimate stands on. Planned grounds its AI in a large, verified marketplace, which is what makes its recommendations dependable. We ground ours in price: more than a decade of what venues actually charged for real events, recorded booking by booking. So when you describe a brief, a realistic number comes back in about ten seconds, before anyone has been contacted. It is indicative and the venue confirms it, but it is built on transactions that happened rather than on a catalogue.

The second is the size of the map. A curated network, even one tens of thousands of suppliers deep, is still a fenced section of the market. Our research covers the open market instead, so the answer can be a brand-new opening, an unlisted space, the right room in a city no platform has indexed yet. And because the same research runs inside Claude and ChatGPT, your team can start a venue search from the assistant they are already working in.

The third is that you give up nothing on control or on people. You still get one contract, one invoice, in-policy bookings and full spend visibility across 37 currencies, and a named expert who negotiates, runs site visits and manages the detail when an event is large. What you add is more than a decade of running events, not just building software around them, and a market with no edges. Same governance, same human help, a wider field and a deeper price history underneath.