Independent AI Lab

AI for the decisions that shape work.

Graylark Labs is an applied AI research lab building the systems behind more confident enterprise decisions at Graylark Technologies. We turn difficult operational questions into production platforms, frameworks, and useful tools.

Research × engineering
Designed for real operations

01—26
Active systems

Decision atlas / 001
Evidence becomes action

TRACEABLE FLOW
Context to outcome

Latest field notes

Research in motion. Systems in the world.

All field notes

· Partnerships

Graylark Labs partners with Agent Bulkhead on agentic safety.

We are providing resources and practical expertise to support Agent Bulkhead's research into safer, more dependable agentic AI systems.

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· Engineering

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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· Engineering

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.

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· Security

Compliance 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.

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· Research

How 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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