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AI Intelligence Platform

See the signal.Aim with precision.

Fract transforms complex data into clear signals and actionable intelligence through AI-powered analysis.

PrecisionSignalIntelligenceDataAI$FRACT
fract://signal-engine
Resolved signalt−60s → now

Signal strength

98.2%

Confidence

HIGH

Latency

12ms

Sources

1,284

  • RESOLVEDCross-source correlation above threshold
  • RANKEDAnomaly cluster promoted to signal
  • FILTERED18,402 low-confidence events discarded
  • INGESTStream synchronised across 6 regions

99.2%

Signal precision

Rolling 30-day

1,284

Connected sources

Streaming + batch

12ms

Median resolve time

Ingest to signal

4.8B

Events processed

Last 24 hours

Figures are illustrative placeholders pending production telemetry.

01Intelligence

Complex information,
resolved into decisions.

Fract applies layered AI analysis to raw, high-volume input and returns the small number of things that actually warrant attention — each one scored, explained and traceable back to its sources.

Signal extraction

Models separate meaningful movement from background noise across every connected source, continuously.

Confidence ranking

Every signal carries a scored confidence interval, so you know what to act on and what to watch.

Context resolution

Related events are correlated into a single explained narrative instead of a stream of disconnected alerts.

Precision targeting

Define what matters once. The engine keeps aim on it and surfaces only what crosses your threshold.

02Signals

From raw noise
to a single clear signal.

Four stages run continuously. Everything that reaches you has already survived all of them.

01

Stage 01: Ingest

Streaming and batch inputs are normalised into one continuous timeline.

1,284 sources

02

Stage 02: Filter

Noise, duplication and low-confidence events are removed before analysis.

99.4% discarded

03

Stage 03: Rank

Surviving events are scored for confidence, novelty and relevance to your targets.

Scored 0–100

04

Stage 04: Resolve

Correlated events become a single explained signal, delivered where you work.

12ms median

Input

18,420 events

Unranked, unlabelled, arriving faster than any team can read.

Output

3 signals

Scored, explained, and traceable to the sources that produced them.

03Platform

Three surfaces, one engine.

Read it, aim it, or build on it. Each module runs against the same resolved intelligence layer.

A single view of every resolved signal, ranked by confidence and filtered to the targets you defined. Built for people who need the answer, not the raw feed.

Refresh
Real time
Views
Ranked / timeline / map
Export
CSV, JSON, webhook
04Data

Broad input. Disciplined output.

Coverage is only useful if it is trustworthy. Every source is normalised, versioned and attributable before it is allowed to influence a signal.

Source coverage

Indexed
  • Market & pricing feeds92%
  • On-chain activity86%
  • Public disclosure & filings74%
  • News & long-form text68%
  • Social & sentiment streams61%

Illustrative coverage pending production connectors.

Throughput

Live

4.8B / 24h

Events normalised

Above thresholdFiltered

Traceable

Every signal links back to the exact records that produced it. No unexplained output.

Versioned

Inputs and model versions are pinned per signal, so any result can be reproduced later.

Isolated

Your targets, thresholds and history stay scoped to your workspace and never train shared models.

05About

Built for people who have to be right.

Fract exists because the hard part of modern data work is no longer collection — it is knowing which of it matters. To fract is to break a whole into its parts. Everything we build is in service of breaking down what you collect until only the one thing worth acting on is left.

PrecisionSignalIntelligenceDataAI
01

Precision over volume

More output is not more intelligence. The measure of the system is how little it has to show you.

02

Explain every call

A score without reasoning is a guess. Each signal carries the evidence that produced it.

03

Earn the trust

Versioned inputs, reproducible results, and honest confidence — including when confidence is low.

06FAQ

Questions worth answering plainly.

What the platform does, where its data comes from, and what is still a placeholder.

Fract reads high-volume input — market feeds, on-chain activity, public disclosure, news and social streams — and returns the small number of developments that cross the thresholds you defined. Each one arrives scored, explained, and linked back to the records that produced it.

07Token

$FRACT

The network asset associated with Fract. The platform is the product — token details are published here for transparency.

Ticker

$FRACT

Network

TBA

Total supply

Placeholder

TOTAL SUPPLY — TBA

Contract address

Placeholder
CONTRACT ADDRESS — TBA

See the signal.
Aim with precision.

AI-powered intelligence designed to turn complex information into clear, actionable signals.

Contact and channel links are placeholders until launch