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.

Track vessels and tell shippers about ETA changes

Poll carriers' tracking APIs for your B/Ls and containers and detect ETA changes. AI drafts what the change affects and the shipper notice; staff check it.

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)

The problem today

Every day, staff check vessel schedules and container status on dozens of carriers' websites and tell shippers, customs brokers, and truckers when an ETA changes. Carrier sites often restrict automated retrieval through bot protection or terms of use, so RPA lookups keep stopping. When notice comes late, delivery orders, customs clearance, pickup, and delivery bookings all slip.

The workflow in Kitewell

Poll carriers' tracking APIs for events on the B/Ls and containers you handleAutomatic
Extract shipments whose ETA changed since the last checkAutomatic
AI works out what the change affects and drafts the notice to the shipperAI judgment
Staff check the impact and the notice, and approve sendingApproval
Notify the shipper and update the shipment recordAutomatic

What AI does

Works out what an ETA change affects, such as delivery orders, customs clearance, pickup, and delivery bookings, from its size and the shipment's status, and drafts a notice for the shipper.

Where people decide

Staff check the impact and the notice before anything is sent.

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

Access to your main carriers' tracking APIs (such as DCSA Track & Trace) and the fields they provide
For carriers without an API, what their terms allow and what stays manual
What the shipper notice says and how it is sent

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.