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.

¥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.

Manage free time, demurrage, and detention

Calculate each container's remaining free time from discharge, gate-out, and empty-return events, and alert staff as deadlines near. AI drafts pickup requests.

Try free for 14 days Book a 30-minute demo

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)

24 containers' last free days worked out from three carriers' tracking in 1 second, and requests drafted for the 4 shippers with containers two days or less from the deadline. A person approved and they were sent, and the 3 overdue containers went to a manager with their estimated charges. Kitewell built the workflow 19 minutes after the request.

A real run on October 28, 2026, sped up. The system it works with was built for the demo.

The problem today

Free time varies by carrier and contract, in both length and how days are counted, and staff track it in spreadsheets. Late pickups or empty returns lead to demurrage and detention, and sometimes to disputes with shippers over who pays.

The workflow in Kitewell

Get discharge, gate-out, and empty-return events from carriers' tracking APIsAutomatic
Calculate each container's remaining free time from its contractAutomatic
AI drafts pickup requests for containers nearing their deadlineAI judgment
Staff check the request and send itHuman task
Alert staff and managers to overdue containers and estimated chargesAutomatic

What AI does

Drafts pickup requests and empty-return reminders from each container's status and remaining days.

Where people decide

Staff decide what to request and send it. Free time terms are entered by staff from each contract.

Features used

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 discharge, gate-out, and return events are available from carriers' tracking APIs
Where contract free time terms come from and how they are entered
Whether alert timing and recipients fit how you work

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.

Book a 30-minute demo Ask about onboarding

See how the onboarding runs and its terms

Frequently asked questions

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.

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.