Case study — 03 · AI platform

DecisionSphere

Powered by Strategic Analysis AI — an advanced decision intelligence system that evaluates complex problems through structured reasoning, simulates the ripple effects of every option, predicts outcomes with probabilistic models, and delivers data-driven recommendations with actionable implementation plans.

Overview

Why DecisionSphere exists

Big decisions are usually made in small, messy ways — a pros/cons list, a gut feeling, a late-night spreadsheet. The information exists; the structure doesn't.

DecisionSphere is built on Strategic Analysis AI, an advanced decision intelligence system designed to evaluate complex problems through structured reasoning. It analyzes objectives, stakeholders, risks and constraints, simulates the ripple effects of multiple decisions, predicts future outcomes using probabilistic models, quantifies risk across key domains, and delivers data-driven recommendations with actionable implementation plans — while the human stays the decision-maker.

The framework is built to support founders, businesses and professionals in making confident, long-term strategic decisions.

Problem → Solution

The gap it closes

The problem

Decisions without structure

Options get compared on vibes, risks stay invisible until they land, and teams re-litigate choices because nobody can see how they were made.

The solution

Seeing before choosing

Structured reasoning over objectives, stakeholders, risks and constraints — with simulated ripple effects on the table before the commitment is.

Key features

What's inside

01

Structured reasoning

Analyzes objectives, stakeholders, risks and constraints into one clear decision frame.

02

Ripple-effect simulation

Simulates the downstream consequences of multiple decisions before you commit.

03

Outcome prediction

Probabilistic models forecast future outcomes with confidence ranges, not guesses.

04

Risk quantification

Scores and quantifies risk across key domains — financial, operational, strategic.

05

Actionable recommendations

Data-driven recommendations paired with concrete implementation plans.

06

Built for decision-makers

Designed for founders, businesses and professionals making long-term strategic calls.

Build

Tech & approach

Designed and engineered end-to-end at QIXARC — data visualisation first, model calls second, human judgment always.

PythonJavaScriptGoogle AI StudioProbabilistic modelsMySQLData visualisation
Status

Where it stands

Done

Concept & visual language

Decision-map model, risk framework and dashboard design defined.

Now

Strategic Analysis AI engine

Structured-reasoning and ripple-simulation flows prototyped in Google AI Studio.

Next

Interactive beta

First end-to-end decisions mapped by real users.

Next: the company behind it

QIXARC — the technology startup shipping all of this.

View QIXARC→   Contact me