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Real Estate

The broker’s edge is being competed away.

Manta wins it back, on every listing.

Manta runs the entire transaction. White-labelled and resold by the brokerage, it wins the listing, markets it, and orchestrates viewings, offers, contracts and handover. A source of revenue, not an IT cost.

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The problem

The broker role is being diluted by open portals, public pricing data, and legacy tooling. 41% of brokerages still run key processes on legacy systems, 15 to 20% of revenue leaks to inefficiency, and average brokerage EBITDA halved between 2019 and 2024. To stay profitable, brokerages must win more listings and sell more, faster, without sacrificing quality, but they have no system to reason across their data and act on it.

Manta’s answer

Manta is the reasoning layer: the end-to-end AI operating layer for brokers and agencies. It draws the brokerage’s fragmented data into one model, then runs the full transaction from end to end: winning the listing, marketing it, and orchestrating viewings, offers, contracts and handover. White-labelled and resold by the brokerage, so it stands as a source of revenue, not an IT cost.

Measured

8+ hrs

Saved per listing

+51%

Higher listing win rate

13.5x

ROI on final selling price

Operational friction

A brokerage runs every listing as a chain of high-stakes, time-bound decisions: win the mandate, price it, market it across channels, then orchestrate viewings, offers, contracts and handover. Most of this runs on disconnected legacy tools, so HQ ends up with centralized data it still cannot act on at scale. Pricing expertise is undermined by public portals, the orchestration role is reduced to manual execution, and software-first networks are proving that owning the data layer is the real competitive moat. The result: listings won on instinct rather than evidence, leads leaking between enquiry and viewing, and margins compressing year over year.

How Manta solves it

Autonomous execution

Runs the full broker workflow end to end. Pre-sales, marketing and the transaction journey run themselves, with the agent supervising.

Reasoning engine

Deterministic logic over consolidated network data: which agencies underperform, where leads leak, which agents convert and why. Every decision auditable.

Owned knowledge graph

Every listing, viewing and outcome compounds into a model of the local market the brokerage owns. Portable, no lock-in.

Cost architecture

Inference paid once, then plateaus, so the cost of running the network falls as listing volume scales.

Sovereign deployment

EU-built, GDPR-native, on-prem option. Property and client data never leaves Europe.

Works with your stack

Major listing portalsSalesforceHubSpotMetaGoogleE-signature workflowsSnowflakeBigQuery

Client results

Integrating these AI tools into our sales strategy has been a game-changer. 20 to 40% of the all-time leads on a property are generated from the campaigns at the click of a button, in a matter of days.

ERA Portugal

The properties we publish draw far more views and interest, and far faster. It has given us a competitive edge while making our lives considerably easier.

Sotheby’s

See what Manta could do in real estate.

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Automating profitable growth is the last and most valuable layer of AI.

And it is here now.

Get started

©2026 Manta

Automating profitable growth is the last and most valuable layer of AI.
And it is here now.

Get started

©2026 Manta