Glass Box Solutions, Inc.
"From Black Box to Glass Box." We build transparent AI for professionals whose decisions affect real people's financial outcomes.
AI that shows its work.
Every AI product in the legal and insurance space faces the same temptation: optimize for impressive outputs, hide the reasoning, and hope the user trusts the result. We built Glass Box Solutions to reject that approach entirely.
AdjudiCLAIMS is built on a single design principle: every output must be traceable, citable, and understandable. The AI shows you what it found, where it found it, and what the statute says about it. Not because we have to — because that's the only kind of AI worth building for professionals whose work affects real people's financial outcomes.
We started in California workers' compensation because it's one of the most complex, most under-served, and most consequential domains in the country. Examiners make hundreds of decisions per week that affect injured workers' medical care and financial security. They deserve better tools.
We do not ship features that aren't fully tested. 100% passing tests is a requirement, not a goal.
Every AI conclusion must show visible, auditable reasoning. Confidence scores alone are not explanations.
AdjudiCLAIMS assists — it never decides. The examiner makes every substantive judgment call.
UPL boundaries are enforced by code, not policy. Security is architecture, not a checklist.
The people behind AdjudiCLAIMS.
Alex brings deep experience in California workers' compensation law and claims operations. He founded Glass Box Solutions to solve the training and compliance problems he saw firsthand in the industry — and to prove that AI can be both powerful and fully transparent.
Matt leads engineering at Glass Box. His background spans enterprise software, distributed systems, and applied ML. He designed the three-stage UPL enforcement pipeline and the Glass Box explainability architecture.
Sarah is a licensed California attorney with extensive workers' compensation experience. She leads UPL compliance strategy, reviews every AI prompt and zone boundary, and serves as the legal authority on what AdjudiCLAIMS can and cannot say.
Brian has spent his career building software for regulated industries. At Glass Box he translates the complex world of claims compliance into clear, usable workflows — ensuring the product is the training program, not just a tool.
Why California Workers' Compensation?
California workers' compensation is one of the largest, most complex insurance systems in the world. It covers 18 million workers. It generates over $20 billion in annual premiums. It operates under a regulatory framework of extraordinary complexity — dozens of statutory deadlines, hundreds of regulatory requirements, and a litigation environment that punishes every missed step.
Yet the software available to claims examiners is largely unchanged from a decade ago. Most systems are workflow tools — they track status but don't assist with decisions, don't surface the regulatory context that explains why each step matters, and don't teach examiners anything along the way. We're fixing that.
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