The Calibration Engine for Private Markets

Transform unstructured, incomplete information into calibrated probability forecasts — grounded in base rates, disciplined updates, and real-world outcomes.

— Infrastructure layer —
Wildebeast is a forecasting engine designed to power applied decision platforms like VectorBay.

2-minute walkthrough • Calibrated, probability-driven outputs

Private Markets Are Flying Blind

Private markets move trillions — yet most decisions rely on pitch decks, static spreadsheets, and gut instinct that don't update when reality changes.

Static Models

Spreadsheets freeze assumptions. Markets don't.

Fragile Signals

Pitch decks are biased. Sales forecasts are optimistic.

Lost Context

Gut instinct isn't measurable or improvable.

AI Pattern Recognition

LLMs extract insights from unstructured data

Proven Calibration

Prediction markets outperform expert intuition

Missing Layer

No one built the calibration engine — until now

Wildebeast provides the calibration layer that applied decision platforms depend on.

A Unified Forecasting Engine for Private Markets

Core forecasting primitives provided by the Wildebeast engine

Reference-class forecasting

Ground predictions in historical base rates

Signal structuring & normalization

Convert messy data into model-ready features

Probability dynamics

Track how forecasts evolve as new information arrives

Outcome distributions

Model uncertainty with scenario trees and risk curves

Probability aggregation

Combine multiple signals into unified forecasts

Feedback & learning loops

Real outcomes continuously improve forecast accuracy

How Wildebeast Turns Information Into Foresight

The forecasting flywheel that transforms uncertainty into calibrated probability

1

Ingest Signals

Documents, updates, models, notes, market data

2

Structure & Extract Features

Convert messy data into engineered model inputs

3

Calibrated Forecasting

Probabilities, scenarios, trends, risk distributions

4

Produce Decision-Ready Probabilities

Outputs power applied decision platforms

5

Measure Real Outcomes

Actual results feed back into the engine

6

Reinforce & Improve

The more it's used, the more accurate it becomes

How Wildebeast Integrates

Wildebeast is designed to plug into existing decision workflows — not replace them.

1

As a Forecasting API

Teams send structured signals, documents, or features into Wildebeast and receive:

• Calibrated probabilities

• Uncertainty ranges

• Scenario distributions

These outputs feed directly into internal tools, dashboards, or underwriting models.

2

As an Embedded Intelligence Layer

Platforms like VectorBay use Wildebeast behind the scenes to:

• Establish base rates

• Apply disciplined updates

• Track forecast accuracy over time

End users never see Wildebeast — they see better decisions.

How Wildebeast Shows Up in Real Decisions

Wildebeast doesn't make decisions. It powers the platforms that do.

Where it lives

Wildebeast operates beneath applied products like VectorBay. End users never see "Wildebeast" — they see better real estate decisions powered by calibrated probabilities.

What it produces

• Calibrated probabilities (not point estimates)

• Uncertainty ranges (confidence intervals)

• Scenario distributions (possible outcomes)

• Real-time updates (as signals change)

VectorBay Example
Applied Real Estate Product

How VectorBay uses Wildebeast under the hood

What Wildebeast does

  • • Ingests entitlement docs, zoning codes, historical data
  • • Establishes base rates from reference classes
  • • Updates probabilities as new signals arrive

What VectorBay users see

  • • "68% entitlement probability — up 4% this week"
  • • Clean, investor-ready underwriting outputs
  • • No mention of the calibration engine beneath

VectorBay is the product. Wildebeast is the engine.

Wildebeast is not a standalone product. It's the calibration layer that serious decision platforms are built on.

Built With Researchers, Forecasters & Operators

Wildebeast exists at the intersection of forecasting science, engineering, and real-world capital deployment.

Dan Wilde

Indiana University

Forecasting research, methodology, and model design

Jeff Trueman

Luminary Capital

Real-asset operator and strategic direction

JD Wilson

Engineering

Feature engineering, MLOps, and probability modeling

VectorBay

Applied Real Estate Product

Structured underwriting built on Wildebeast

This combination of academic rigor, engineering excellence, and market validation doesn't exist anywhere else.

Partner With Us to Build the Calibration Layer

We're working with select partners who understand that calibrated forecasting is infrastructure, not a feature.

Learn About VectorBay