R&D Knowledge Discovery and Scientific Workflow Automation
R&D teams in life sciences face an overwhelming volume of scientific literature, experimental data, and internal research notes. Scientists spend too much time searching for information, reconciling conflicting results, and repeating work that already exists somewhere in the organization. Experiments generate more data than most teams can analyze quickly, slowing hypothesis generation and decision‑making. AI … Read more