4G Clinical

RTSM (Prancer RTSM) and clinical supply forecasting (4C Supply) built with natural language processing for faster study builds.

4G Clinical, founded in 2015 and headquartered in Wellesley Hills, Massachusetts, provides Prancer RTSM for randomization and trial supply management and 4C Supply for clinical supply forecasting, using natural language processing to accelerate fully configurable study builds. The company has raised through Series C and remains independent. No vendor-held security certifications were publicly verifiable (cloud-provider compliance pages do not transfer), so request audit documentation during evaluation.

Headquarters
Wellesley Hills, United States
Founded
2015
Deployment options
cloud
Website
https://www.4gclinical.com
LinkedIn
https://www.linkedin.com/company/4g-clinical

Categories

AI Use Cases

  • Supply Chain & Demand Forecasting

Vendor Scorecard

50% — Partial coverage. Coverage score — how completely Atlas documents 4G Clinical across 7 buyer-evaluation areas. Reflects available Atlas data, not solution quality.

Compliance & Validation — Not documented by Atlas

Ask the vendor: Which compliance certifications (HIPAA, 21 CFR Part 11, SOC 2, GxP) do you hold?

Deployment & Hosting — Documented

cloud

Pricing Transparency — Not documented by Atlas

Ask the vendor: What is your pricing model, and what drives total cost of ownership?

Implementation & Onboarding — Not documented by Atlas

Ask the vendor: What is a realistic implementation timeline, and what onboarding support is included?

Organization & Role Fit — Documented

Mid-Size Biotech, Large Pharma, Top 20 Pharma, CRO / CDMO, Clinical Operations, Data Management

Solution Scope — Documented

Natural Language Processing, Supply Chain Optimization

Company Viability — Partially documented

Series C, Founded 2015

Always ask the vendor

Not captured in Atlas data — confirm directly. Excluded from the score above.

Data Rights & IP

Who owns model outputs? Is our proprietary data used to train models others can access, and where does our data reside?

Model Credibility & Explainability

Can you share validation studies or benchmarks, explain how the model reaches its conclusions, and describe how bias and drift are monitored?

Questions to Ask This Vendor

  • What audit and validation documentation is available for GxP use?
  • How do NLP-driven study builds handle mid-study amendments?
  • How does 4C Supply forecasting integrate with our supply systems?
  • What is the track record on study go-live timelines?