Check property listings across portals
Your Excel property register is compared with each listing portal, and any difference in rent or availability goes into the row and to the person responsible.
- Runs on your own PCs and servers
- Use Azure OpenAI, Amazon Bedrock, Google Vertex AI, or an in-house model
- Its engine is Descarty's open-source Dagu (GPL-3.0)
The problem today
Staff open each listing one by one and compare rent, management fees, and availability with the register. There are too many to keep up with, and a property left listed after it is let can look like bait advertising.
The workflow in Kitewell
- Open the property register workbook and run each propertyAutomatic
- Open each listing and collect rent, fees, and availabilityWeb
- AI judges whether the listing differs from the registerAI judgment
- The owner reviews mismatched properties and decides whether to fix themApproval
- Write the results into each row of the register and post to TeamsAutomatic
What AI does
Reads rent and availability from each listing page and judges whether it differs from the register. Judgments with low confidence are kept for a person to check.
Where people decide
The owner reviews only the properties with differences and decides whether to correct or withdraw the listing.
Prove Kitewell on your own systems
Try it free for 14 days on your own PC. To see it working first, ask for a 30-minute demo. There is also a one-month onboarding (¥500,000 before tax), where we build your first job together.
What to check when you try this work
- Whether the needed fields can be read from each portal's listing pages
- Whether the matching rules, such as rounding and fees, match how you work
- Whether the number of items sent to people is manageable
- Whether each portal's terms of use allow automated checks of listing pages
How the onboarding runs
- Week 1Requirements and success criteria
- Weeks 2 to 3Build
- Week 4Verify on production screens
- Final dayReport
One-month onboarding
- Length
- One month
- Cost
- ¥500,000 (tax excluded). Your staff build, with the developer beside them
- If you go on to a license
- The onboarding fee is credited to the first year's contract
- Without the onboarding
- At Team scale, start on Team monthly (¥14,800 per computer a month, tax excluded), and cancel in any month
You can try it first on your own PC, in the free 14-day trial.
Frequently asked questions
- May a tool check portal listing pages automatically?
- It depends on each portal's terms of use. The PoC checks them, and automates only what they allow.
- Do our documents and screens leave the company?
- Kitewell runs on your own PCs and servers, and Descarty never receives your business data. You choose the AI model: a cloud API, or an in-house or local model with an OpenAI-compatible API. With an in-house model, no data leaves the company. With a cloud model, what the AI reads is sent to the model's provider.
- What if the AI misreads something?
- A person checks what the AI produced before the work goes on. In a sheet, every value the AI reads shows the quote it came from, and rows below your confidence threshold go to a person. Reviewers can send work back with notes on what to fix, and who approved what is kept in the run history.
- What happens when a screen changes or a run stops?
- When a screen changes, the AI reads it again, relearns the step, and carries on. The relearned step is saved, and later runs repeat it. If a run still stops, ask the assistant right there, and it finds the cause and proposes a fix. A proposal is not saved until a person applies it.
- What happens to the RPA and systems we use today?
- Keep them. Kitewell operates screens the way a person does, so it works with systems that have no API. Move the robots that keep stopping and the work you gave up automating because it needs judgment, and leave fast, fixed processing in your current RPA.
- What does it cost?
- ¥14,800 per computer per month, or ¥148,000 per computer when paid yearly, before tax. A computer costs the same whether it builds or runs. You can try it free for 14 days. The one-month onboarding, where we build your first job together, is ¥500,000 before tax, credited to the first year if you go on.
Related use cases
Track exclusive listing and REINS deadlines
Track REINS registration, certificate delivery, seller reports, and status-change deadlines for each exclusive listing. AI drafts reports; agents operate REINS.
Submit tenancy applications to rent guarantors
AI reads tenancy applications sent by email and enters them in the screens of rent guarantors your application system doesn't reach. Staff confirm first.
Research properties for disclosure statements
Get registry PDFs, check municipal zoning and hazard maps, and draft the disclosure statement with its sources kept. A licensed specialist checks and explains.
See this work in a demo
A 30-minute demo shows this workflow running. The 14-day free trial lets you check it on your own systems.