Advanced Real-Human-Based 3D Anatomy and Medical Education System
Overview
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SUMMARY
KEY REQUIREMENTS
BUDGET
VerifiedTIMELINE
Issue date: July 16th, 2026
Due date: August 6th, 2026, 2:30 PM
CONTACTS
Primary procurement contact — name, title, email, and phone
Additional decision-makers and their departments
Issuing Agency
State University Of New York (Suny) Binghamton
DESCRIPTION
The issuing organization is seeking a vendor to provide an advanced real-human-based 3D anatomy and medical education system. The platform is intended to support medical education and training through digitized human cadavers, enhanced learning tools, and realistic 3D anatomy experiences.
The requested system should help improve learning outcomes while reducing laboratory costs by replacing physical cadavers with digitized real human bodies. It is also expected to include an in-depth clinical database featuring real patient cases, along with filtering options that allow users to adjust the sharpness of 3D anatomy, histology, and prosection views.
The solution should cover multiple regions of human anatomy and include both normal and pathological tissues for interactive exploration. The overall objective is to provide a comprehensive digital anatomy platform for immersive and clinically relevant medical learning.
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Frequently asked questions
- When is the submission deadline?
- Submissions are due August 6, 2026.
- What is the budget for this RFP?
- The published budget is $125,000.
- Who issued this RFP?
- It was issued by State University Of New York (Suny) Binghamton. The work is located in Binghamton, New York, United States.
- Who is a good fit for this opportunity?
- Provider of digital anatomy and medical education platforms
- Experience with 3D visualization using real human cadaver-based content
- Expertise serving medical schools, teaching hospitals, or healthcare training programs
- Capability to deliver clinical case databases with pathology and histology content
- Strong background in interactive educational software for healthcare environments
- Demonstrated ability to reduce laboratory dependency through virtual learning systems
Analysis generated by Settle AI from the source RFP.
RFP Hunter shows what is open. Settle shows what is forming.
Settle pieces together buyer signals, budgets, contract activity, and the sources your team already monitors. See why an opportunity fits and what to do before the RFP posts.