AI-NATIVE INVESTMENT RESEARCH

Investment research,
in perspective.

An AI workbench for markets, strategies and multiple research perspectives.
Keep evidence in context.
Revisit your thinking as the evidence changes.

Working local prototype · In active development
Thoughtful research. A clear process.
Sourced dataCompeting viewsResearch records
BUILT FOR THE PROCESS
01 / INSIDE THE WORKBENCH

One workbench.
A connected research process.

Observe markets, frame hypotheses and compare views.
Keep the context for what comes next.

02 / WHERE WE ARE

From an idea
to a working prototype.

Current stage · Prototype
01

A working local workbench

Market observation, strategy research, multiple perspectives and read-only account views run in one local environment.

Built
02

A documented research outcome

A study was retired after meeting its predefined falsification criteria. Its evaluation and reasons for stopping remain on record.

Documented
03

A public look at the workflow

These product screenshots use staged sample data. The full workbench runs locally; hosted access is not yet available.

Explore
03 / DESIGNED FOR RESEARCH

A clear process
for AI research.

Organize evidence, disagreements and conclusions around a question.
Keep the context for the next round.

01 / START WITH A QUESTION

Make questions testable.

Start with a hypothesis, scope and falsification criteria. Define the test before deciding what to examine.

02 / MAKE ROOM FOR DISSENT

Make perspectives comparable.

Gather separate responses, then compare their evidence and disagreements. Examine a view and its limits.

03 / KEEP THE CONTEXT

Keep research reviewable.

Keep discussions, test results and interim conclusions in a research channel. Return with the context intact.

04 / THE RESEARCH LOOP

Build on the work.
Revisit the judgment.

A research cycle can also tell you
when to let an idea go.

  1. 01

    Frame a hypothesis

    Define the question and
    what would change your mind.

    IDEA
  2. 02

    Examine the evidence

    Gather evidence, compare views
    and turn disagreements into tests.

    RESEARCH
  3. 03

    Test the hypothesis

    Evaluate against criteria
    set before the test.

    VALIDATE
  4. 04

    Record and revisit

    Keep the conclusion and its reasons.
    Continue the work, or retire the idea.

    EVOLVE
↳ A negative result still belongs in the research record.THE PROCESS IS THE PRODUCT.
05 / A FEW THINGS TO KNOW

A few questions,
answered.

What the product does, and where it stands.

What is Gravit?

Gravit is an AI workbench for individual investment research. It brings market observation, strategy research, multiple perspectives and account views into one environment for organizing evidence, testing ideas and preserving the work.

Does it make investment decisions or execute trades?

The final judgment is yours. Gravit helps organize evidence, compare views and advance the research. The account functionality shown here is read-only and does not execute trades.

Are the research records, quotes and accounts real?

The three screenshots show the actual product interface with staged sample data and English labels adapted for this tour. Prices, account balances and research records are illustrative. No live feed or real account is connected to this page.

Can I use the full workbench online?

This site is a product introduction with a screenshot tour. The full workbench runs locally with a configured model and data sources. Online signup and hosted access are not yet available.

LET’S EXPLORE WHAT’S NEXT.

Let's explore
what comes next.

We'd welcome conversations about the product, research use cases and potential partnerships.

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Research workspace