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Our inference engine.

Kokonut Island runs FYSK O and FYSK C on your machine, without internet.

NVIDIA RTX Spark compatible

Illustration: Kokonut Wave calls Kokonut Island, which runs FYSK O to read the document; the result goes back to Island, which passes it to FYSK C for the accounting classification and the entry, then the result goes back to Kokonut Wave.

In-house, and it changes everything.

The AI runs on your machine, not in the cloud. For an accounting firm, that changes four things.

  • Nothing leaves the firm.

    Your documents are read and booked on the premises. Nothing goes to an AI provider.

    Confidentiality

  • A binder in a few minutes.

    300 documents read in under a minute, booked in under six. Measured on a DGX Spark.

    Speed

  • Works without internet.

    A network outage stops nothing. Your documents keep being read and booked.

    Autonomy

  • No cloud bill by volume.

    No AI provider paid per document. Your hardware, bought once, does all the work.

    Cost

Everything runs on the machine.

On Kokonut Station or on your own, with no outgoing connection at all.

  • Neither documents nor answers in the logs
  • Internet only to install and update
Illustration: Kokonut Wave, Kokonut Island, FYSK O and FYSK C, all inside Kokonut Station; the internet stays outside.

Three figures to remember.

Two throughputs, measured on a DGX Spark, and the graphics memory Kokonut Island needs.

documents per minute
390
FYSK O
documents per minute
58
FYSK C
of graphics memory is enough
14 GB
Kokonut Island

On the hardware you choose.

A single NVIDIA card is enough, from 14 GB of graphics memory: the one in a PC, a workstation or a server.

Your current card or your next one: the last three NVIDIA generations.

Blackwell

The current generation, from the DGX Spark to the data centre.

  • RTX Spark
  • DGX Spark
  • GeForce RTX 50 Series
  • RTX PRO Blackwell Series
  • DGX Station GB300
  • B200
  • B300

Hopper

The data centre cards.

  • H100
  • H200

Ada

The previous generation, from PC to server.

  • GeForce RTX 40 Series
  • RTX Ada Series
  • L40S
  • L4

vLLM

The engine that serves the models: documents are processed in parallel, in batches.

Example: Kokonut Island starting up

island init

  • Machine NVIDIA Blackwell
  • Engine vLLM ready
  • FYSK O loaded
  • FYSK C loaded
  • Network offline, no outgoing connection
  • Island ready, waiting for Kokonut Wave

Kokonut Island takes care of everything.

Once installed, you never touch it again. Kokonut Wave calls it, Island does the rest.

  • Nothing to start

    A document arrives? The models load, then free the memory.

  • Nothing to watch

    A model stops? Kokonut Island restarts it by itself.

  • Nothing to schedule

    Too many documents at once? Each one waits its turn.

  • Nothing to choose

    Read or book? Each document goes to the right model, FYSK O or FYSK C.

Frequently asked questions

Do I have to buy Kokonut Station?

No. Kokonut Island comes with Kokonut Station. On your own machine, it is offered under licence: get in touch with us.

Which models does it run?

FYSK O, which reads the documents, and FYSK C, which does their accounting classification and the entry. It will also be compatible with the FYSK models currently in development.

Available from 02.01.2027

With Kokonut Station, or on your machine.

Kokonut Island comes with Kokonut Station, turnkey, or under licence on your own hardware.

  • Kokonut Station

    Turnkey: the machine, Kokonut Wave and the FYSK models, ready to use.

    Kokonut Island

  • Your machine

    An NVIDIA card from 14 GB of graphics memory, or an NVIDIA RTX Spark.

    Kokonut Island

Let's talk about you.

Accounting firm: let's deploy the AI on your premises. Software publisher: let's talk about integrating Kokonut Wave into your software.

  • Turnkey Kokonut Station
  • Your own hardware
  • Kokonut Wave in the cloud
  • Inside your software, with Kokonut Wave

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