Quantis demo

Research a candidate without leaving the screen

Gather and structure the evidence behind a candidate, kept attached to it.

Try Quantis
4 minute walkthrough

The challenge

Research accumulates in documents that lose their connection to the position they concerned.

The scenario

A candidate survives a screen and needs a proper read before it becomes a position.

What goes in

Candidate
The instrument under examination.

What you can ask

Illustrative prompts. Results depend on your own data and are not deterministic.

  • What has changed for this company this year?
  • What is the bear case here?
  • Which claims are well supported?

How Clearception approaches it

How the work is structured. Each step shows what its output is grounded in.

  1. Gather sources

    Source

    Collect filings, disclosures and market data.

  2. Structure findings

    AI-inferred

    Separate established fact from interpretation.

  3. Bound confidence

    AI-inferred

    State how strongly each conclusion is supported.

What you get

The shape of what comes back — not a promised result.

  • Research note

    AI-inferred

    Findings with sources attached and confidence stated.

Why it matters

Research stays attached
The note belongs to the position, not a folder.
Weak claims marked
Thin support is visible rather than smoothed over.

Crypto

Compare venues once fees are counted

Normalise prices across exchanges and compute the all-in cost behind an apparent spread.

4 minute walkthrough

  • Market Screening
  • All-In Cost Modelling
  • Evidence Trail

Want to try this with your own work?

Open Quantis and bring your own data. No signup is needed to read these demos.