Modicus Prime
AI software that reduces pharmaceutical R&D and manufacturing costs.
- Domain: Biotechnology, AI
- Location: THE UNITED STATES
- Timeline: June 2020 – October 2020
- Services: Python Development, Custom Software Development
Background
Modicus Prime self-service software provides biotechnology experts with new artificial intelligence (AI) technology. It ensures quality products on a regular basis, complete agency compliance, shorter time to market, and lower operating costs.
Business challenges
- Expensive prices — pharmaceutical research and production experience colossal financial losses because of contamination and quality problems.
- Slow manual analysis — classical biologic image inspection was manual, time-consuming, and subjective.
- Inability to see the product quality — companies could not assess it during the production process.
- Reliance on specialists — solutions available today need data scientists, which imposes bottlenecks on biotech teams.
- Compliance risks — ensuring full GxP and regulatory compliance is challenging in R&D (research and development) and manufacturing.
- Competitive pressure — other industry leaders have already started to use AI as a strategic tool.
Value Delivered
- AI-powered quality revolution — AI has transformed the process of how scientists analyze biologics images, allowing the real-time detection of contaminated products.
- Expert-led automation self-service — Platform delivers state-of-the-art AI to biotechnologists without the need to rely on data scientists.
- Scalable compliance — Modicus Prime is proprietary, compliant GxP software that ensures complete regulatory compliance at both the R&D and manufacturing levels.
- Rapid deployment — The platform enables scientists to independently train and deploy new AI models for specific quality control tasks in days instead of months.
- Proven industry validation — Successfully tested and adopted by scientists at a Top 10 Pharma company and Takeda Pharmaceuticals.
- Cost Catastrophe prevention — Addresses unmet needs by eliminating incidents that cost millions of dollars, resulting in faster go-to-market and lower costs.
