In highly regulated life sciences environments, AI adoption is often delayed due to compliance, data security, and ownership concerns. MadeAi addresses these challenges by delivering compliant, auditable AI solutions through a structured Build–Operate–Transfer approach that ensures long-term ownership and control. The Build–Operate–Transfer (BOT) model supports phased AI adoption by collaboratively developing compliant solutions and validating…
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On January 22, 2026, CapeStart and MadeAi hosted an exclusive webinar featuring industry innovators sharing key predictions for AI in Life Sciences in 2026. The session explores how organizations are moving beyond experimentation and preparing for AI integration across operational, regulatory, and scientific workflows. Insights were drawn…
Traditional literature reviews are slow, expensive, and resource-heavy. MadeAi™ makes literature reviews fast and efficient with MadeAi-LR. MadeAi-LR harnesses GenAI to streamline evidence synthesis, accelerating timelines while maintaining rigor and transparency. With both self-service and full-service options, MadeAi-LR helps life sciences teams cut workload, reduce costs, and deliver high-quality results faster. Download Unlock the ROI…
AI tools are revolutionizing how we synthesize large amounts of data, information, and content. But how do we ensure these tools are truly accurate and reliable? MadeAi's How to Measure Accuracy & Performance in AI-enabled SLR Platforms webinar reviews a structured approach to assessing AI accuracy for life science professionals. Experts examine accuracy in AI…
Missed our live session? Get the recording now! On July 11, 2025, CapeStart hosted a 30-minute webinar comparing three leading large language models—Gemini 2.5 Pro, GPT-o3, and Claude Sonnet 4—to see which performs best for screening, reasoning, and summarization in life sciences workflows. Designed for both technical leads and non-technical decision-makers, the session shared real-world…
An average project size with 2,500 initial hits was considered for this ROI calculation.
Phase or Literature Review Process
Traditional Approach
MadeAi-LR
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