Hi Lounge! I'm Bruno, building DigiEmu — Verifiable Infrastructure for AI Systems 🇨🇭

Hi everyone! I'm Bruno, an independent developer and founder of Baumgartner Digital Infrastructure (BDInfra), based in Switzerland.

I'm building DigiEmu, an infrastructure ecosystem focused on making AI-driven processes verifiable, reproducible, and accountable.

The problem we're addressing:

As AI systems become more autonomous, getting a correct output is no longer enough.

We also need to know:

• What evidence supported a decision?
• Can the process be independently verified or replayed?
• Were authorization boundaries respected?
• Can we distinguish a successful outcome from an authorized action?

What we've built so far:

• DigiEmu Core 2.0: Deterministic verification contracts, evidence admission, and reproducibility mechanisms.

• DigiEmu Secure: Cryptographic integrity and strict canonical JSON verification.

• ARCA: Evidence-oriented document workflows, preparing for controlled enterprise pilots.

• SKC & VSC: Research components exploring verifiable knowledge structures and reproducible processing.

Our current focus is moving from technical validation toward real-world integration.

What I'm looking for:

We're seeking our first serious enterprise pilot customer, particularly among teams building AI agents, RAG applications, industrial AI, or high-assurance automation.

I'm also happy to collaborate on small, reproducible technical experiments using synthetic datasets.

A question for the community:

How are you currently verifying agent decisions beyond checking whether their final outputs are correct?

Looking forward to learning from everyone and contributing to the community!

Bruno
DigiEmu / Baumgartner Digital Infrastructure 🇨🇭