Reading the EU AI Act as an Engineering Specification for Workplace AI
Deployer obligations for high-risk workplace AI translated into system requirements: logging, oversight, notification workflows, and change management.
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From frontier ideas to real AI products.
Graylark Labs runs applied AI research that powers innovation and core technology at Graylark Technologies. We turn those insights into production platforms, AI frameworks, and decision tools for complex enterprise operations.
WHAT WE BUILD
Enterprise AI platforms for high-stakes workforce and compliance decisions.
Pay Equity as a Data Engineering Problem: Preparing for Directive (EU) 2023/970
Equal-value categories as data modelling, gap analytics with small-group discipline, and reproducible runs that survive works council scrutiny.
Read articleCompliance as Code: How We Built Our Own Automated ISMS and Pen-Testing Framework
Why we evaluated the expensive compliance platforms, built our own framework instead, and run it in CI - because real, continuous proof beats a point-in-time snapshot.
Read articleHow We Built Model Forge: Autonomous Training Infrastructure for Domain-Specific LLMs
Autonomous training infrastructure using autoresearch, knowledge distillation, and structured legal data for domain-specific LLMs.
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