Pricing for Risks with No Loss History

PPOI prices from the measured site and the record, not from loss history that does not exist yet.

The sample hall with each detected item boxed and coloured by the type its record row was given
The record PPOI prices from: every item in the sample hall, typed by its evidence.

The EvidenceToday

In backtests on public NAIC Schedule P data, PPOI cut pricing error by 48.56% against the industry prior. Schedule P holds no data-center losses yet, so this tests the method, not data-center accuracy.

  1. 48.56percent lower mean squared pricing error than the industry prior, backtest on NAIC Schedule P (AARC research)

Read the research

What It Does

What PPOI Reads

Screens from the AARC demo, running on public Schedule P data and a sample capture of a synthetic test hall.

The book in the AARC demo: 746 programs from public NAIC Schedule P data
The book746 programs
The capture record in the AARC demo: one row per detected item, each typed by its evidence and carrying its own hash
Typed rowsA hash per row
The sample hall with each detected item boxed and coloured by the type its record row was given
Graded items54 in the hall
The 3D scan audit in the AARC demo: two of two determinations reproduce, all hashes verified
Scan audit2 of 2 reproduce

What Comes Next

Price One Program You Already Hold

Bring a program and we’ll price it with PPOI beside your current method.