Overview
Aleph Technologies offers AI infrastructure services including generative AI product design, AI agents orchestration, RAG systems, and prompt engineering evaluation. The company supports database engines including PostgreSQL, MariaDB, MySQL, SQL Server, and Oracle, with over 25 years of database expertise.
Key people
In the news
- This is the 10th and final article in our EU AI Governance series is live. In substance: Many organizations with AI governance policies are not yet operationally compliant. They have the document but don't have the program. Policy theater and operational governance produce the same paperwork. They do not produce the same evidence when a regulator asks for it. Article 10 closes the series by laying out what a "real" governance program looks like across 10 capabilities; and what financial services (CRI FS AI RMF, MAS MindForge) and
- Just finished mapping the 13 most-cited AI governance frameworks against each other. Surprising findings : → Only 2 of 13 offer a formal certification or trust label → Only 1 of 13 does formal verification at runtime → Just 5 of 13 were designed agentic-native from the start → Multi-agent governance? Addressed by 4 of 13 The frameworks were not built to be compared. They emerged from different worlds : academic research, vendor strategy, national regulators, open-source communities. Most of them predate agentic AI as the dominant
- You probably have more compliance documentation than you think. You almost certainly can't retrieve it within 24 hours. That's the gap the EU AI Act exposes. Not whether you've done the work — whether you can produce evidence of having done it, on demand, under time pressure. For many organizations, the answer is no. Article 8 of our AI Governance series breaks down what regulators actually request, why self-assessment regimes shift the entire evidence burden onto providers, and what 24-hour retrieval requires operationally;
- Where are we on AI governance maturity?" It's the question that determines whether you're compliant with the EU AI Act, or merely believe you are. Quite many organizations can't answer it. They have policies. They've done a risk assessment. But when pressed for evidence a regulator could verify within 24 hours, they don't have it. In Article 7 of our EU AI Governance series, we map 5 maturity levels that matter (Ad Hoc → Audit-Ready), the 4 reference models worth knowing (AIGN, AISM, AgentID, Digital Applied), and explore the 9
- The EU AI Act applies to agentic AI systems. Its obligations were not written with autonomous agents in mind. That distinction is where regulatory exposure lives. Agentic platforms (systems that reason, plan, and act without pre-action review) satisfy the AI system definition under Article 3(1) and are subject to all high-risk obligations under Articles 9 through 17. But the Act's provisions assume a static system. Agentic systems drift, delegate, and develop emergent behaviour post-deployment. Existing compliance frameworks do
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