Private preview · Investor walkthrough

Chresma Investor Demo

A guided walkthrough of how Chresma forecasts outcomes, checks evidence, measures confidence and learns from results.

What Chresma is

Chresma is outcome intelligence infrastructure. Large language models predict the next word. Chresma predicts the next outcome.

The four commercial verticals

SportsLab
Outcomes resolve quickly — fastest feedback loop.
MarketsLab
Probabilistic, simulation-only market forecasts.
Veritas Health
Evidence intelligence for medication, supplements, risks.
Meridian Energy
Demand, grid stress and infrastructure scenarios.

The basic workflow

Ask
Evidence
Forecast
Scenario / Abstain
Settlement
Learning

Run a demo forecast

Each button opens a real vertical with a prefilled question. Results reflect live system behaviour — Chresma will lower confidence or abstain if evidence is insufficient.

Start Sports demo
"Who is more likely to win the next major match in this league, and how confident is Chresma?"
Start Markets demo
"What is the probability this large-cap stock outperforms the index over the next 30 days?"
Start Health demo
"What is the current evidence base for vitamin D supplementation in adults?"
Start Energy demo
"How could continued data-centre growth affect regional grid stress over the next 24 months?"

What makes Chresma different

Evidence before prediction

Chresma retrieves structured world-state evidence before it forecasts. No evidence, no forecast.

Confidence is calibrated

Confidence is shrunk by a per-domain calibration curve learned from resolved outcomes — it never inflates.

The system can abstain

When evidence is too weak or contradicted, Chresma returns scenarios or refuses to predict rather than guess.

Outcomes feed memory

Every resolved outcome updates raw cases, pattern clusters, laws and source trust through a governed learning loop.

Proof layer

Every forecast carries these eight artefacts — in plain English.

Forecast object

Single structured object: prediction, probability, confidence, alternatives, evidence.

Evidence summary

Counts of cases, clusters, laws and live citations actually used.

Confidence

Calibrated score with the cap source (truth, evidence, contradiction) named.

Contradiction profile

Attacks across 5 dimensions; absence is reported, never sold as confirmation.

Audit trail

Every prediction, change and approval is recorded and replayable.

Lineage

From source → ingest → case → pattern → law → forecast, traceable end to end.

Settlement path

How and when this forecast will be resolved against reality.

Memory feedback

How the resolved outcome will update cases, clusters, laws and source trust.

Rollout story

1
Sports first

Outcomes resolve quickly — fastest calibration feedback.

2
Markets second

Investors understand the surface and the unit economics.

3
Health third

Trust and evidence quality matter — Chresma is built for it.

4
Energy fourth

Infrastructure demand is a major institutional theme.

★
Chresma underneath

One core engine. Every vertical is a pack on top.

Some live data features depend on provider credentials, source readiness and usage limits. Chresma is designed to reduce confidence or abstain when evidence is insufficient.

Chresma is decision-support infrastructure. It does not provide financial, medical, legal, gambling or operator-grade engineering advice.

Ready to see it work?

Ask Chresma anything across sports, markets, health or energy. Get a calibrated forecast with full proof.

Start Proof Session