AI for Engineering
Governed & Secured
Helping engineering, energy and construction firms take AI from PoC to production — knowledge platforms, governed development, AI security assessments, and vendor risk management, deployed in your own cloud.
What We Deliver
Applied AI engineering — led by Erblin Marku — and AI Security & GRC delivered with our specialist partner practice. Full AI lifecycle for engineering, energy, and regulated-industry firms.
Engineering Knowledge Platform
Your firm's standards, design manuals and lessons-learned as permission-aware, revision-aware AI tools. Cross-jurisdiction mapping (GB/T ↔ EN/IEC) included.
Try Demo →Governed AI-Assisted Development
YAML policy packs for naming rules, banned patterns, dependency allowlists, and approval gates. Open-source. Works in Claude Code and Cursor.
View on GitHub →In-Tenant AI Deployment
Production AI in your own Azure tenant — not ours. Entra ID, private networking, Key Vault, AI Search. Deploy in under an hour from our blueprint.
Get in Touch →AI Governance Framework Design
Custom AI governance frameworks mapped to NIST AI RMF, ISO 42001, and the EU AI Act — delivered with our GRC partner practice. Policy operationalized into executable controls, intake gates, and CI/CD guardrails.
Book Assessment →AI Security & Red Teaming
Adversarial testing against OWASP Top 10 for LLMs and MITRE ATLAS — delivered with our GRC partner practice. Prompt injection, data leakage, jailbreak testing, and runtime guardrail implementation.
See Live Demo →Third-Party AI Vendor Risk
AI-specific vendor due diligence using CSA AI-CAIQ and NIST AI RMF — delivered with our GRC partner practice. Scored risk reports, contract clause recommendations, and monitoring for model drift and shadow AI.
Download Questionnaire →Erblin Marku · Founder, Applied AI Engineering
Adlor Labs · London, UK
Our Expertise
Adlor Labs operates at the intersection of production software engineering, mission-critical industry workflows, and applied AI risk governance. We deliver across two dedicated practice areas:
1. Applied Enterprise AI Engineering
Building in-tenant knowledge platforms (RAG), custom Model Context Protocol (MCP) servers, and automated engineering toolchains. We transform static standards, BIM models, and complex procedures into secure, permission-aware AI systems deployed directly into your cloud.
2. AI Security, Governance & GRC
NIST AI RMF & ISO 42001 alignment, EU AI Act compliance readiness, adversarial red teaming (OWASP GenAI / MITRE ATLAS), and third-party AI vendor due diligence — delivered with our specialist GRC partner practice.
Whether developing bespoke intelligence platforms or auditing third-party AI deployments for enterprise risk, we operate with rigorous data sovereignty and transparent engineering standards.
Tech Stack
12
Month Build Plan
6
Active Labs
3
Product Lines
∞
Clean-Room Built
Let's Build Your In-Tenant AI Infrastructure
Whether you prefer a live 30-minute technical discovery call or sending a detailed written project brief by email, we are ready to help.
Book a Discovery Call
30 minutes with Erblin Marku, Founder