Platform Solution

Prediction-market products that turn research into usable decisions.

iMeta shapes research intake, probability context, market signals and trader workflows into a focused intelligence product.

Business Problem

The operating challenge this solution addresses.

Prediction-market users need timely context and transparent signals without being overwhelmed by disconnected research and data.

01Structured research

02Clear probability context

03Timely edge signals

04Focused trader workflows

Solution Architecture

The exact architecture changes with scale and integrations, but these are the core operating layers.

01
Market research workspace
A structured environment for bringing sources, analysis and decisions into one workflow.
02
Probability and base-rate layer
A production-ready product layer designed around clear user journeys and sustainable operations.
03
Signal and rating engine
A production-ready product layer designed around clear user journeys and sustainable operations.
04
Trader-facing dashboard
A clear operating view for teams to monitor activity, decisions and performance.

Delivery Capabilities

Scope is selected around the existing product, operational risk and release objectives.

Research workflow design
Map each critical action, decision and exception into a usable end-to-end journey.
Data and model architecture
Shape the components, data flows, integrations and technical decisions needed to scale.
Signal evaluation loops
Turn this workstream into a clear, reviewable part of the product delivery plan.
Market dashboard engineering
Give teams a clear operating view of activity, performance and exceptions.
Alert and watchlist flows
Design clear paths for users, transactions and operational teams across the product.
Production monitoring
Make product health, errors and operational signals visible after release.