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The Problem

Kidney Research Infrastructure
Is a Decade Behind.

A typical nephrology lab runs GraphPad for statistics, REDCap for data capture, Excel for tracking, and custom scripts for analysis — none communicating, none understanding kidney disease, none with AI.

5+
Disconnected tools per lab
Clinical data, preclinical results, and statistics live in separate, incompatible systems that require manual engineering to connect.
$50K+
Minimum enterprise platform cost
Existing AI research platforms require IT procurement, EHR integration, and six-figure contracts. Most research labs never qualify or have access.
0
Kidney-specific AI platforms
No commercial product understands CKD staging, KFRE, disease-specific biomarkers, or renal drug interactions natively. Researchers configure generic tools from scratch.
One platform replaces five disconnected tools
01GraphPad Prism — statistics & figuresReplaced
02REDCap — clinical data captureReplaced
03Excel — cohort tracking spreadsheetsReplaced
04Custom analysis scriptsReplaced
05Generic AI chatbots — zero data contextReplaced
Competitive Position

Nothing Else
Does All of This.

Adjacent tools address individual pieces of the problem. Nephpros connects all of them — with kidney disease domain intelligence built in from the ground up.

Capability Nephpros GraphPad REDCap Deep6 AI Benchling
Zero installation — opens in browser+————
Kidney disease-specific domain intelligence+————
Clinical and preclinical data integrated+———Partial
AI-powered research tools (10)+——Partial—
Privacy-preserving trial marketplace+————
Kaplan-Meier, power calculation, FDR++———
No IT infrastructure required+————