Board‑defensible decisions,
built from evidence.

Thinking in Motion®
We turn messy inputs into governed models and decision artefacts — so decisions can survive diligence, audit, and board scrutiny.

Sydney, Australia • Remote OK • Fixed‑scope engagements with milestone billing
Economic Decision Architecture (EDA)
Valuations, investments & strategic options — built as evidence-backed decision systems.
Trading Ops‑in‑a‑Box
Backtest alignment & execution discipline — governance, controls, and operational proof.

What you get

These are the core artefacts. The exact scope is designed per engagement — your decision standard determines what gets built.

Decision Memo
The narrative: what we decided, why, and what would change our mind.
Financial Engine
Engagement-scoped access to our proprietary engine to re-run assumptions, sensitivities, and scenarios as inputs change.
Assumption Ledger
Every key assumption is owned and traceable — source-linked, confidence-rated, versioned, and governed with review dates and invalidation triggers.
Scenario Analysis
One-way & two-way sensitivities, waterfall/bridge causality, decision guardrails.


Access & IP

The engine is provided under a limited engagement licence; outputs are yours. Ongoing re-runs are available via retainer or a new engagement.


Case Types

These are anominised (to protect the client), or illustrative cases

Multi-site acquisition / buyout decision
Problem: Justify a high-stakes buyout.
Approach: Valuation engine + risk scenarios + assumption governance.
Result: A decision pack that holds up under scrutiny.
Turnaround Strategy
Problem: Stabilise an underperforming unit.
Approach: Unit economics + levers + scenario roadmapping.
Result: Clear options, guardrails, and governance cadence.
Illustrative composite. No performance claims. Built to show structure, not promise outcomes.
Quant Trading System
Problem: Align backtest → live execution.
Approach: Controls, risk rules, ops playbooks, evidence trail.
Result: Operational proof for scale.

How it works

A simple cadence. The output is bespoke — the process is disciplined.

1. Fit Call
Clarify decision + proof standard.
2. Structured Inputs
Define data pack + constraints.
3. Model & Scenarios
Build engine + sensitivities.
4. Review & Memo
Iterate; lock assumptions.
5. Ongoing Governance
Update cadence; re-runs.

Engagement investment

Pricing is intentionally not published — scope varies by proof standard, data quality, and governance depth. After a short fit call, you’ll receive a fixed-scope proposal with milestone billing.

Want a number quickly? Request scope — we’ll quote a fixed fee with milestones after a 20‑min fit call.
Single‑Site EDA Report
Fixed scope, fixed fee
  • Decision memo + model pack
  • Scenarios + sensitivities
  • Assumption Ledger (owned & versioned)
Portfolio Program
Multi‑site governance
  • Cross‑site comparatives
  • Consistent assumptions & proofs
  • Roadmap + governance cadence
Decision Integrity Retainer
Ongoing decision stewardship
  • Monthly governance + updates
  • Assumption reviews & re-runs
  • Board‑ready refresh packs
Request scope

About

VanillaHorizon® is built for owners, boards, and operators who need decisions that survive scrutiny. We combine disciplined modelling, evidence governance, and operational reality.

Positioning: Decision‑systems provider — not “analysis”.
Principles: intentional incompleteness, time‑decay, assumption governance, decision stewardship.
Outputs: memo + engine + ledger + decision log — repeatable, owned, and re‑runnable.

Contact

Send a short brief (decision, deadline, proof standard). If it’s a fit, you’ll receive a fixed-scope proposal and milestone plan.

We don’t provide detailed analysis by email. Initial response confirms fit and scope. Engine access (where applicable) is engagement-scoped and time-bounded.