DigiEmu Core 2.0 · BFH / IDAS Pitch Room

A walkable proof room for deterministic AI decision-state verification.

This virtual pitch room presents DigiEmu Core 2.0 as a reconstruction and evidence layer for AI decisions: canonical snapshots, state chains, evidence bundles and independent verification — shown as an immersive 52-slide walkthrough.

Decision-state reconstruction
Evidence bundle verification
Audit-ready AI governance

Pitch Room Flow

52 walkable slides inside a virtual decision-evidence museum.

01 Problem: post-incident review lacks reconstructable evidence.
02 Solution: canonical state preservation before audit.
03 Output: portable, independently verifiable evidence bundles.

Prepared for BFH / IDAS introduction

What the room demonstrates

DigiEmu turns AI decisions into reconstructable, portable and reviewable evidence.

Instead of saving everything or relying on weak logs, DigiEmu preserves the minimal decision-relevant state needed to reconstruct and verify how a decision was produced. The pitch room walks through the problem, the architecture, the verification flow and the collaboration potential.

For AI Governance

DigiEmu creates a verifiable evidence layer for AI decisions, audits, incident review and compliance workflows.

For Research

The core model separates identity, decision-state reconstruction and attribution, making it suitable for academic review and interoperability testing.

For BFH / IDAS

The room is prepared as a concrete introduction prototype for discussing validation, applied AI assurance and possible collaboration paths.