World models for business decisions
Your company and its market, as a model you can run.
ActionBasis models your company and its market, calibrated to reported figures and fed by real signals. Compare plans by their range of outcomes, rank the decisions and measure pilots against controls. Every number carries its evidence.A living model of your company and its market that ranks decisions and measures what they deliver. Every number carries its evidence.
What the model produces
A ranked list of decisions, with estimated ranges of outcomes.
When a pilot settles, the measured result replaces the estimate and the list re-orders. Switch the example between a retailer (store staffing, stock), an insurer (bound premium, quote-to-bind, renewals) and a consumer brand (media, promotions, distribution).
Works with what you have
Keep your tools. Add the model.
Survey and review platforms
ActionBasis reads their results. Your CX team keeps its questionnaires, dashboards and workflows.
Media agencies and plans
Your agency keeps buying. ActionBasis tells you where the next budget should go and tests it.
BI and data warehouse
Your reports stay. ActionBasis reads the same data and adds forecasts, rankings and measured results.
Why you can check us
Measured against controls, with fees tied to measured value.
What to check before choosing a decision platform.
Can it compare the decisions you need, using the same objective and constraints?
Planning scopeDoes it separate historical fit, forecast validation and a measured intervention effect?
EvidenceWhich connections and approvals are needed before your team can use the result?
DeliveryInspect a measurement readout, including its inputs and failure cases, before choosing the next pilot.
ActionBasisHow value is created
From a store staffing gap to a pilot measured against controls.
- 01
Find the gaps
We find the stores losing sales to queues and stock-outs, and put a sales figure on each gap.
- 02
Refine scenarios
Each fix, from peak-hour staffing to stock rebalancing, is forecast with the sales uplift range it should add.
- 03
Plan for ROI
The plan names the stores, the change and the expected return, ordered by return per unit of cost.
- 04
Pace the steps
Pilot stores are chosen so the early weeks show whether a rollout is worth it.
- 05
Measure and account
Pilot stores are compared each week with matched control stores until the effect is clear enough to decide.
Your first briefing
Start with public data. Agree what to connect next.
A briefing on your company
Request a briefing with your company name or website and work email. We review available public data to describe where the company stands and what to look at first.
Connect your data
Tell us which systems hold your sales, store, media or people data. We assess the source, access and work needed for each connection. You approve its scope before any data moves.
Measured decisions
Decisions are ranked by estimated outcomes. Compare pilot results with controls, then update the ranking. The full loop has closed on our synthetic retail world.
Evidence
Every number carries its evidence.
Evidence labels distinguish observed, derived, modelled, simulated and assumed values.
Solutions
Start with stores, customers or competitors.
Customer experience, network planning and competitor monitoring can start with a store decision. Compare staffing, stock or opening plans, then test the chosen change against controls.
Pricing
What you pay for, and when.
Agree the diagnostic and platform fees by scope. For advisor cases, agree the value-linked share, cap, deductible costs and result acceptance before work starts. Forecasts do not settle a measured-value fee.
- Company briefing
- Built from public data. No charge.
- Diagnostic
- A fixed fee, agreed before we start, on a sample of your data.
- Platform
- An annual fee set by the markets and data you connect.
- Advisor cases
- A fee tied to measured value. The baseline and the measurement are agreed in writing first.
Build on ActionBasis
Build your own service on ActionBasis.
Tell us how your research, consulting or software service would use company and market scenarios, ranked decisions or measurement against controls.
Tell us what you would buildProof
We test our methods where the answer is known.
A synthetic company, end to end
We run a synthetic retailer through the whole process, from first briefing to a settled pilot.
Known answers first
Before a model is used on your data, we check its estimates against answers we planted in synthetic markets.
Twins from public records
A company model built from public records is checked against the figures the company reports.
Request a briefing on your company.
Send a request with your company name and work email. The briefing is prepared from available public data; submitting the form does not run an instant diagnostic.