Raycaster
Raycaster provides an AI-native workspace for biopharma that keeps protocols, reports, and regulatory modules in sync with the science to accelerate drug development submissions.
At a Glance
- Biopharma
- Biotechnology
- Life Sciences
- Energy & EPC
AI Tools by Raycaster
(1)
Raycaster
AI Regulatory Submissions for Biopharma
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Latest News
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Products & Services
An AI-native workspace for biopharma to draft, edit, and review regulatory submissions.
An AI agent specialized in document processing and generation within the Raycaster ecosystem.
An AI agent for structured data and analysis within the Raycaster platform.
Market Position
Positioned as a 'Cursor for regulated content,' focusing on document engineering and high-stakes accuracy where generic LLMs often fail. Claims to beat frontier models on specialized benchmarks at 10x lower cost.
Leadership
Founders
Levi Lian
Co-founder and CEO of Raycaster. Previously on the investment team at Hebbia. Holds a B.S. in Symbolic Systems from Stanford.
Anthony Humay
Co-founder and CTO of Raycaster. Previously a Senior Software Engineer at Meta and Apple, and a Software Engineer at Snap Inc. Background in AI/ML and design.
Executive Team
Levi Lian
CEO
Stanford Symbolic Systems grad, former investor at Hebbia.
Anthony Humay
CTO
Ex-Meta, Ex-Apple Senior Software Engineer with deep AI/ML expertise.
Founding Story
Founded to address the 'paperwork bottleneck' in life sciences, specifically the manual rework required in complex regulatory documents like protocols and clinical study reports. The vision was to create a 'Cursor for regulated content'.
Business Model
Revenue Model
B2B SaaS subscription model targeting life sciences service providers and biotech companies.
Target Markets
- Biopharma
- Biotechnology
- Life Sciences
- Energy & EPC
- Clinical & medical writing
- CMC & technical operations
- Non-clinical & toxicology submissions
- Quality & compliance auditing