Decision intelligence by Whiteshield
See the impact.Before you act.
LEAP connects data, economic models, and specialist agents in one platform, helping governments and institutions test the consequences of a decision.
One question.
A connected answer.
Your question
If tariffs on car exports rise, what happens to my supply chain and revenue?
Entity data
Geospatial intelligence
Socioeconomic impact
Trade
Fiscal
Financial intelligence
One synthesis
Scheduled brief
Live workbench
- Claude
- OpenAI
- Gemini
From a question to a working model.
The model is yours to question. The decision is yours to make.
Choose the agents, connect your evidence, and test the assumptions that matter. Save the workflow to run it again as conditions change.
Turn the analysis into a briefing, a dashboard, or an alert. Give decision-makers the evidence and the context to act.
Specialist depth.
Shared intelligence.
What will this policy actually do to jobs, health, growth, and the people affected?
Forecasts, monitors, and simulates the human and economic consequences of a decision, before it is made and after.
A node-based model of any intervention, run as a base case against the variants you want to compare.
A foundation models how a coding programme for 20,000 students could move employment and GDP against a no-programme case.
Define the KPIs, generate reporting at your cadence, and follow a policy by dashboard or newsletter.
A government tracks how a plastic ban moves waste and related metrics, without a new study each time.
Forecasts future workforce needs under a tested scenario.
A labour ministry plans reskilling against the projected impact of AI on its workforce.
Built on infrastructure institutions already trust.
Earth observation and satellite infrastructure behind geospatial intelligence.
Accelerated compute for model execution and AI vision pipelines.
Geospatial data marketplace for imagery tasking, access, and analysis.
A sound model is only the start.
Models. Orchestration. Judgement.
Economic, causal, policy, fiscal, trade, and geospatial models refined over fifteen years.
Agents chained into workflows, wired to the data and partners each decision needs.
Institutional capacity, public response, and the practical conditions a decision must meet.