Haliya is building the tools to detect bias and ensure compliance in pharmaceutical and healthcare documentation, before regulators do.
AI is showing up in clinical decisions, regulatory submissions, and legal documentation. The risk of undetected bias is growing fast, and most organizations aren't set up to catch it.
We're building a platform for pharmaceutical and healthcare companies that need to make sure their documents and processes meet regulatory standards across the FDA, EU AI Act, and state-level AI governance frameworks.
The FDA, EU AI Act, and state legislatures are rapidly introducing AI bias mandates. Organizations without proactive detection face enforcement actions, delayed approvals, and market access barriers.
Compliance teams spend hundreds of hours manually reviewing clinical documents for bias indicators. The volume of AI-touched documentation is outpacing human review capacity.
Biased AI in clinical trials and treatment recommendations leads to inequitable patient outcomes, particularly across demographic groups that are historically underrepresented in medical research.
Healthcare organizations face growing litigation exposure from biased AI systems. Without documented compliance processes, legal teams lack the evidence needed to defend against bias-related claims.
Haliya helps pharmaceutical and healthcare organizations continuously monitor their documentation for bias, generate compliance-ready reports, and get clear remediation guidance. Everything is aligned with current and emerging regulatory frameworks.
Automated analysis of clinical review documents, regulatory submissions, and legal briefs for language-based and algorithmic bias across protected classes.
Generate reports aligned with FDA AI/ML guidance, EU AI Act requirements, and state-level regulations. Ready for regulatory submission.
Get targeted recommendations for process improvements, training, data quality, and policy updates, prioritized by regulatory impact.
Designed to connect with existing pharmaceutical and healthcare document workflows, with security and privacy standards built in from the ground up.
Portfolio-level visibility into bias risk across all organizational documentation, with executive reporting and trend analysis.
Document-level bias findings and risk assessments designed for inclusion in regulatory submissions and legal proceedings.
Technical bias metrics and threshold configuration to ensure AI-powered products meet compliance requirements before deployment.
Selected for the National Science Foundation I-Corps program through the Northwest Hub. We talked to dozens of compliance leaders, regulatory affairs teams, and healthcare executives across pharma and healthcare to validate the problem and shape what we're building.
Active member of the Silicon Valley Tech Futures Group, working alongside other founders, investors, and industry advisors in emerging tech. The group has been a key source of mentorship and strategic guidance as we build out Haliya's go-to-market and product roadmap.
I started Haliya because I believe AI in healthcare should be fair, transparent, and accountable. My background is in technology development and regulated industries, and I saw firsthand how unprepared most organizations are for the bias and compliance challenges ahead.
Haliya is currently in stealth development. If you're at a pharma or healthcare organization thinking about AI compliance, we'd love to talk.
angelina@haliya.ai