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Artificial Intuition

Decision models that keep getting better at your work.

Open the consoleTest it on your data
  • 16.6 ms per decision
  • 99× faster than GPT-6.1 Astra
  • from $23.31 per billion input tokens

Hosted on VAKYN Cloud with an API key, or on your own servers, with the same API.

Not a chatbot

Intelligence thinks. Intuition decides.

System 1 and System 2, drawn as a sorterCases run into VAKYN. VAKYN decides most of them at once and says how sure it is. The unsure ones go to System 2, an LLM or a person. Each case System 2 settles runs back into VAKYN along the VAKYN loop, so it learns exactly there.PAY · 94% SUREEVERY CASE15.1msTHE VAKYN LOOPDECIDED8sure: your code actsSYSTEM 2 · AN LLM OR A PERSON2unsure: someone thinks it throughticket 97%review

System 1

VAKYN

  • fast
  • automatic
  • everyday decisions
  • says how sure it is

System 2

an LLM or a person

  • slow
  • effortful
  • complex decisions
  • thinks it through
An illustration: the cases, percentages and times are examples.

Chat models write for people. VAKYN answers your systems.

System 1

VAKYN says reject, 82% sure

System 2

GPT-6.1 Astra or a person

  • What comes backVAKYN: A typed answer: yes or no, one of your options, a score.GPT-6.1 Astra: A paragraph your code has to parse.
  • What it can sayVAKYN: Only one of the options you gave it. It can't make one up.GPT-6.1 Astra: Anything, including an option you never offered.
  • How sure it isVAKYN: A probability for every option, so you set the line between act and check.GPT-6.1 Astra: Sounds sure either way.
  • How it answersVAKYN: Reads your document once and scores every option in a single pass.GPT-6.1 Astra: Writes word by word, often thinking out loud first.
  • Same question twiceVAKYN: The same input always gets the same answer, because nothing is sampled.GPT-6.1 Astra: Can come back with a different answer.
  • Time and costVAKYN: Milliseconds and a tiny fraction of a cent.GPT-6.1 Astra: Seconds and fractions of a dollar per answer.

Use a language model where you need words, and VAKYN where your systems need a decision.

Sources: Stanovich and West, Behavioral and Brain Sciences 23(5), 2000; Kahneman, Thinking, Fast and Slow, 2011; Kahneman and Klein, American Psychologist 64(6), 2009. GPT-6.1 Astra stands in for chat models in general; the VAKYN answer is its real answer on the expense report in How it works.

How it works

One request, in three steps.

You send a state and typed questions about it. VAKYN sends back one answer per question, with how sure it is. Your code turns that into a decision. Below, a real support ticket and the model's answers to it.

Show

  1. ISend the stateThe thing you want judged, as text or JSON. Here, a support ticket as it arrives.

    Charged twice for October

    from Leo, Fernhill Bakery

    Hi, our card was charged twice for the October subscription: two charges of $49 on October 1, same card, same invoice number. Please refund one of them. No rush, whenever you get to it.

  2. IIAsk typed questionsPick one, yes or no, or a level. Ask as many as you need: the ticket is read once, so three questions cost about the same as one.

    choice · pick one

    Which team should get this ticket?

    • billing100%
    • technical0%
    • account0%
    • sales0%

    billing

    the billing team

    noul · yes or no

    Does the customer ask for money back?

    yes

    a refund request (99% yes)

    score · a level

    How soon does this ticket need a human reply?

    Can wait a few days

    reply within days

  3. IIIAct on the sure answersEvery answer says how sure it is. Your code acts when each one is at least 70% sure, and sends the ticket to a person when one is not.

    • Team100%
    • Refund99%
    • Urgency77%

    how sure · line at 70%

    All sure: your code acts.billing queue · refund flow · reply within days.

    a = reply["answers"]if all(sure(x) >= 0.7 for x in a.values()):    route(ticket, a["team"]["choice"])  # sure: your code actselse:    send_to_person(ticket)  # unsure: a person decides

    Clear ticket: every answer is sure, your code acts.

Real answers from VAKYN-4B Q8_0, captured 2026-10-11. Names are made up. Every field, in the docs.

Why VAKYN

For teams that make the same decision thousands of times a day.

VAKYN decides the everyday tickets, alerts and reports as they arrive, and hands you the ones it is unsure of.

  1. 01

    Gets better at your work.

    Every round of the loop, fewer cases need a person. The VAKYN loop finds where it fails on your cases, trains exactly there, and checks the fix on those cases.

    997occupations
    in 22 domains, covered by the training
  2. 02

    Your data stays where it must.

    Run it on your own servers, in the country and under the rules you need, or on VAKYN Cloud if you would rather not run anything. Both use the same API.

  3. 03

    Fast and cheap at any scale.

    Milliseconds per decision on one graphics card. On your own servers there is no request limit.

    16.6ms
    median, one question on a short ticket (179 tokens), one RTX PRO 6000-class GPU (NVIDIA Blackwell, GB202)
    ~215,000an hour
    documents with 10 parallel clients, same setup, 0 errors

    VAKYN 16.6 ms

    lines 0 · placed 0

    GPT-6.1 Astra 1.7 s

    lines 0 · placed 0

    Same pieces, one decision each. Simulated at each model's measured time.

    99× faster and 517× cheaper than GPT-6.1 Astra.

    A thousand decisions, one after another, each lane at its measured median speed and list price. Among the others, it is 99× faster than GPT-6.1 Astra, the fastest LLM we measured, and 96× cheaper than Claude Haiku 4.5, the cheapest.

    1,000 decisions each

    1. Claude Opus 5.5

      3.1 s per decision

      0 / 1,000

      $0

    2. Claude Haiku 4.5

      1.7 s per decision

      0 / 1,000

      $0

    3. Claude Sonnet 5

      1.7 s per decision

      0 / 1,000

      $0

    4. GPT-6.1 Astra

      1.7 s per decision

      0 / 1,000

      $0

    5. VAKYN

      17 ms per decision

      0 / 1,000

      $0

    Measured 2026-10-12 on 72 decisions written for VAKYN. How we measured
For regulated teams

Run it where your data already lives.

Banks, hospitals and security teams can keep VAKYN inside their own walls. The documents it reads and the answers it gives never leave your network.

  • On your servers, even air-gappedWe set VAKYN up on your hardware, and it runs there with no connection out.
  • In the region you chooseOn your own servers in any country, or on VAKYN Cloud in the region you pick.
  • DPA and BAAWe sign a data processing agreement for GDPR and a business associate agreement for HIPAA.
  • A person on the unsure casesEvery answer says how sure it is, and the unsure ones go to a person, so people review the hard calls.

Built for teams under GDPR, HIPAA and the EU AI Act: your data stays under your own controls.

Talk to us about your infrastructure
YOUR BUILDING · YOUR REGIONpatientsemployeescustomerssecretsyour servernothing leavesexternal AI APIsyour systems acta person checks
From the blog

Notes on deciding at volume.

All posts

Test VAKYN on your own data.

Send us a sample of your cases and the call you made on each. We run VAKYN on them and show you where it agrees with your calls and where it doesn't yet, and what the VAKYN loop would train next.

Contact usOpen the console

vali@vakyn.com

  1. 01

    Send a sample of your cases

    A few hundred documents and the decision your team made on each.

  2. 02

    See where VAKYN stands

    We run it on your cases and show you where it's right and where it isn't yet, with how sure it is on each case.

  3. 03

    Get your own VAKYN

    Trained on your decisions, on your servers or on VAKYN Cloud. It gets better each time your team corrects it.