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
From AI-powered engineering platforms to governance frameworks and adversarial red teaming — we cover the full AI lifecycle for firms who need AI but can't build a platform team.
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. We operationalize policy into executable controls, intake gates, and CI/CD guardrails — not shelf-ware.
Book Assessment →AI Security & Red Teaming
Adversarial testing against OWASP Top 10 for LLMs and MITRE ATLAS. 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. Scored risk reports, contract clause recommendations, and continuous monitoring for model drift and shadow AI.
Download Questionnaire →The MCP Protocol Studio
Before building applications, we build open-standard infrastructure. Our Model Context Protocol (MCP) servers bridge frontier AI agents directly to your private engineering repositories, BIM models, and security gates.
Claude Code / Cursor IDE
Dispatches standard JSON-RPC tool calls requesting structured engineering knowledge or AST verification.
search_engineering_standards
Performs semantic vector and keyword search across ingested engineering codes (API 610, ASME, ISO).
{
"jsonrpc": "2.0",
"id": "rpc-098",
"method": "tools/call",
"params": {
"name": "search_engineering_standards",
"arguments": {
"query": "shop testing vibration velocity",
"standard_id": "API-610"
}
}
}{
"jsonrpc": "2.0",
"id": "rpc-098",
"result": {
"clause": "6.8.1",
"title": "Vibration Velocity Limits",
"max_velocity_rms": "3.0 mm/s",
"confidence": 0.98,
"citation": "API 610 12th Ed. §6.8.1"
}
}adlor-knowledge
The flagship engineering knowledge platform. It exposes a firm's standards, design manuals, and lessons-learned as secure, revision-aware MCP tools directly to AI clients.
View Interactive Demo→adlor-gate
An open-source policy enforcer MCP server. It uses YAML policy packs to check AI-generated output for naming rules, banned patterns, security vulnerabilities, and approval gates.
View Policy Demo→The Lab Suite & Consoles
Working, interactive prototypes validating our core engineering hypotheses. Explore live BIM geometry auditing, P&ID OCR parsing, AST policy gates, and vendor risk evaluations.
Revit Standards QA
Autonomous 3D BIM Model Verification via MCP
Directly connects AI agents to Autodesk Revit BIM geometry. Evaluates pipe insulation clearances, structural penetration safety, and egress compliance against ASME B31.3 and OSHA 1910.36.
Interactive AI Engineering & Governance Tools
Diagnostic calculators, vendor audit questionnaires, and regulatory crosswalks built to derisk enterprise AI adoption before writing a line of code.
In-Tenant vs. SaaS TCO Calculator
Compare multi-tenant commercial SaaS seat licenses against flat in-tenant Azure compute with 100% data sovereignty.
AI Security & Maturity Self-Audit
Assess your firm's AI risk posture across 6 key pillars (data sovereignty, AST code gates, prompt injection defenses, and compliance audit trails).
AI Vendor Due Diligence Questionnaire
Standardized security and governance questions mapped to CSA AI-CAIQ and NIST AI RMF. Evaluate third-party AI SaaS before signing enterprise contracts.
UK & EU AI Regulation Briefing
Executive answers on the extraterritorial scope of the EU AI Act (Regulation 2024/1689), High-Risk AI classifications, and ISO 42001 vs. SOC 2.
Head of AI & Development
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
Operationalizing AI risk management from policy to code. We provide 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 frameworks.
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
Build Roadmap
12-month build plan. No sales until month 10. Build first, then ship.
Landing + Architecture Strategy
Positioning Adlor Labs as an engineering-grade AI consultancy. Initial platform deployment and authority citations.
Runtime & Core Engineering MCP
adlor-mcp-cad FastMCP server release with ASME B31.3, UK HSE L8 Legionella, BS EN 12056, and CIBSE Guide B tools.
View on GitHub →AI Code AST Security Interceptor
adlor-gate open-source release: polyglot AST scanner (Python + TypeScript), pre-commit hooks, and SARIF 2.1 GitHub Action.
View on GitHub →AI Vendor Risk & CAIQ Engine
adlor-caiq release: 34-question CSA AI-CAIQ, NIST AI RMF, and ISO 42001 weighted risk scoring engine and FastMCP server.
View on GitHub →In-Tenant VPC Enterprise Blueprints
Azure AI Search vector synchronization, Active Directory SSO, and in-tenant private perimeter deployment templates.
Enterprise Advisory & SaaS Orchestrator
Centralized web policy dashboard, live SIEM log streaming (Splunk/Sentinel), and full-scale enterprise advisory delivery.
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 our Head of AI & Development