Independent research-based consulting built on the GENbAIs framework.
This consulting practice is founded on the GENbAIs research framework β a comprehensive systematic study of LLM bias patterns across multiple dimensions.
Why this matters: This consulting is based on documented patterns from systematic research that revealed bias signatures across every major LLM provider.
Professor Julian Nyarko's Stanford Law research reveals a critical gap: "It would be more effective from a legal and policy perspective to hold accountable the companies that are deploying the models in a particular use case."
Stanford Finding: "A bias mitigation strategy trained on financial decision-making does not necessarily work for commercial transactions or hiring decisions"
Your Risk: Each AI use case may have different bias patterns that generic audits miss
Legal Trend: Recent cases like Mobley v. Workday raise questions about whether companies deploying AI should face the same scrutiny as developers
Your Challenge: How do you prove compliance without proper context-specific testing?
Regulatory Approach: Risk-based compliance with "additional obligations on companies using AI for high-risk applications"
Your Need: Documentation of actual bias testing, not just vendor assurances
Systematic analysis of bias patterns in your actual AI deployments using GENbAIs methodology
Timeline: 2-4 weeks
Build internal capabilities for ongoing bias monitoring based on proven research methods
Timeline: 4-6 weeks
Continuous monitoring and analysis as AI models and regulations evolve
Timeline: 6-month or annual contracts
This isn't generic bias consulting. This is systematic analysis based on documented research patterns across multiple LLM providers and real-world scenarios.
Unlike one-size-fits-all audits, we test YOUR actual prompts, workflows, and use cases to identify the specific bias patterns that affect your business.
Comprehensive psychological profiling across Detection Capability, Self-Application, Consistency, Cognitive Bias Resistance, Self-Awareness, and Objectivity.
Clear, detailed findings that stand up to legal and regulatory scrutiny, not vague consultant-speak that means nothing.
Methods continuously refined based on ongoing research findings and real-world deployment experiences.
Full transparency: This isn't a massive consulting firm with standardized methodologies. This is systematic research applied to solve your specific bias challenges.
Most companies have no idea what biases exist in their AI systems.
Let's find out what you're actually dealing with.
Free 30-minute research consultation
I'll analyze one of your AI use cases and show you exactly what kind of bias patterns to look for and how to document them properly.