Aire Real Estate
- Generative tool
- Real estate
An automation tool used by real estate firms to generate dynamic business pitch presentations.
Who it was built for
Built for
Aire
Automation for real estate and property investment firms whose agents pitch with slide decks assembled by hand the night before.
The brief
A fifty-slide investment pitch cost an agent hours of copying market data into PowerPoint, and it was stale by the time it was presented. Aire generates the same deck from a location and a target demographic.
What we delivered
Decks generated, not templated
Market data pulled in
Fifty slides in under three seconds
A remote in your pocket
Where the growth comes from
More pitches per week
Every deck is current and on-brand
The deliverable outlives the meeting
The business analysis
Aire replaces a night of copying market data into PowerPoint. That sounds like a productivity tool, and priced as one it would be worth very little. The reason it is worth more is that deck production was a ceiling: an agent who needs four hours to build a pitch takes fewer properties to market than one who needs three seconds, and the difference is not efficiency, it is how much of a portfolio gets sold actively.
- Transaction time spent on paperwork and admin
- ~30 of 45 hours
- To generate a fifty-slide deck
- under 3s
Model · Design target from the delivered scope, not a measured production average.
- What lands, not PDF
- PPTX
Model · Architectural fact, from the build described in this case study.
- Surfaces per pitch
- 2
Model · Counted from the delivered scope in this case study.
The bottleneck was production capacity, not persuasion
Real estate administration is well documented as a time sink. NAR research puts a typical residential transaction at roughly 45 hours of work, around 30 of which are paperwork and administration rather than showings or negotiation 1. Investment pitching sits on top of that, and it is the part where the data has to be current — which is exactly the part that was being assembled by hand the night before.
What a manual investment deck costs, per pitch
Several sources, none of which agree on format. Fully removed by the connectors.
Copying figures into a chart object, then fixing the formatting. Fully removed.
Removed, and with it the variation between whichever agent built it.
Not removed, and should not be. This is the part the agent is actually for.
Model · Our decomposition of the manual deck workflow described in this case study into four activities. Assumptions, stated so they can be argued with.
Three seconds is a meeting-room requirement
The under-three-second generation target reads like vanity engineering until you picture where it is used: an agent sitting across from a client who asks about a different suburb. Either the deck regenerates inside the conversation or the agent promises to send something later, and later is where deals go to die. The Redis caching strategy over the aggregation exists to make regeneration a conversational act rather than a task.
| Requirement | Why it is commercial, not technical |
|---|---|
| Data fetched at generation time | A deck built last night is wrong today, and being caught with a stale figure costs the mandate |
| Under three seconds | Regeneration has to survive being asked for in front of the client |
| Editable PPTX, not PDF | The file gets forwarded inside the buyer's firm and annotated there, which is where investment decisions are argued |
| Phone as remote | An open laptop between two people is a barrier; the pitch is a conversation |
Where the value concentrates
What the firm is buying, as distinct from what the agent is buying
- Every deck current and laid out by the system, regardless of which agent built it or how late.
- More properties taken actively to market per agent per week.
- Figures fetched at generation time rather than transcribed at some point last week.
- The phone remote. Small in value terms, disproportionately liked.
Model · Our weighting of the four delivered capabilities by which buyer values them, and how much. Judgement, not customer research.
Location and demographic in, editable deck out
Location and target demographic
Market data pulled live
- ↳ Source unavailable → cached figures used and marked as of a date
- ↳ Conflicting sources → the deck states which one it used
Charts rendered server-side
PPTX serialiseddecision
- ↳ Regeneration for a different suburb → seconds, inside the meeting
Presented from the phone, forwarded afterwards
The stack, by responsibility
Builder
- Next.js
- TypeScript
- Tailwind CSS
Remote
- React Native
Generation
- Node.js
- Express
- Chart.js rendering
Data processing
- Pandas-based processing
- Market data connectors
Cache and store
- Redis
- MongoDB
What we would watch
| Risk | Why it bites | Early indicator |
|---|---|---|
| Data licensing | Housing and demographic feeds are commercially licensed, and terms often restrict redistribution — which is precisely what a forwarded deck does | Source agreements that limit derivative works or require attribution on each slide |
| Editable output cuts both ways | A PPTX travels well and can also be altered after it leaves the agent, with the firm's brand still on it | Client conversations referencing figures the system never generated |
| Deck sameness | Systematic layout is the consistency benefit and the differentiation cost. Every firm using it produces recognisably similar pitches | Requests for bespoke templates arriving from the largest accounts first |
References
Who it is for
Agents
Investment firms
Market analysts
Reference
Recommended case studies
Want the version of this built for your business?
Fifteen minutes with the people who shipped it. No deck, no account manager.