Knowledge that works.
SMEs, AI in practice, architecture and proprietary technology. Written for people who make decisions — not for algorithms.
Verifiable Forgetting in Multi-Tier Memory Systems via Tier-Specific Mutual-Information Thresholds
A defensive publication on a tier-specific mutual-information threshold method for verifying record deletion in multi-tier memory systems used in agentic AI products. Establishes prior art under § 3 Abs. 1 PatG, Art. 54 (2) EPC, and 35 USC § 102(a)(1).
One line for everything — how the HeiniBar works in the shop and in the back office
In the shop, the customer describes what they need. In the back office, the bar opens with Cmd+K and queues cases for approval. One bar in two worlds — the same style, the same voice, separated roles and view.
What's in HEINI from day one
Instead of stitching together five tools — one layer in which product data, variant logic, the passport, approval, German hosting, x-Bar and memory work together from day one.
The Digital Product Passport Does Not Have to Be a Burden
On 19 July 2026 the EU register goes live, from February 2027 no traction battery sells without a DPP. How mid-sized manufacturers meet the obligation without an ERP migration and without a tool island.
One Week, Five Trust Stacks for Autonomous Software — and One More
OKX, Stripe, Experian, Microsoft, Salesforce and SAP gave very different answers to the same question in three weeks — and none of them solves the DACH problem.
The EU AI Act Without Cryptographic Proof Is an Empty Shell
In 13 weeks the regulation enters full effect in its core provisions. Many companies will meet a requirement they cannot prove.
The Proof Layer for Autonomous Software
Why the next layer of the enterprise stack does not need more intelligence — it needs provability. On logging, tamper resistance and external verifiability for autonomous software.
Tokenized Assets Without a Proof Layer Are a Legal Risk
What the latest tokenization partnerships expose — and why programmable asset volumes without cryptographic action attestation rest on legally shaky ground.
Why AI agent systems get messy — and why HEINI is built around order, roles, and approval
Many multi-agent setups have structural problems with coordination, ownership, and common operating state. HEINI answers that with an ordered intake layer, clear roles, and an approval-first workflow.
Theory is not enough?
30 minutes on your real operation — or pick the right plan directly.