Collaborations

Empowering Data-Driven Decisions in Healthcare and Life Sciences

Comprehensive AI-powered solutions to transform healthcare data into actionable insights, empowering research, accelerating drug development, and enhancing clinical decision-making.

Prioritizes patient privacy and regulatory compliance while deriving insights from diverse data sources.
Enables collaboration and data-driven strategies for leading medical centers through a secure platform.

For Life Sciences

Make Strategic Healthcare Decisions Guided by Evidence-Backed, Objective, Expert Analysis

In Life Sciences, translating research findings into actionable insights that drive business decisions or regulatory submissions requires clear and relevant data outputs. Reliable clinical research outcomes help dispel uncertainty and hence justifies the return on investment (ROI) in research projects.

nSights empowers Life Science companies with a transformative platform that leverages RWD to drive impactful research outcomes, real world endpoints and regulatory excellence.

Expertly crafted, evidence-based solutions to propel healthcare research and strategy

Proprietary AI-powered algorithms to triangulate insights from real world EMR data, clinico-imaging dataset, public literature, and molecular studies reported

Compliance with regulatory standards and consistent data quality throughout the research lifecycle

For Health Systems

Transforming Healthcare Data into Actionable Insights

Healthcare systems have a wealth of data at their fingertips. Unfortunately, this data is often fragmented, and under-utilized, making it difficult to extract valuable insights and foster collaboration across departments.

nference empowers health systems to unlock revenue potential and foster cross-departmental collaboration.

Unmatched expertise in handling complex, large-scale datasets across a vast healthcare network.

Data Under Glass - safeguarding patient privacy by ensuring data remains within the health center's premises.

Advanced technologies to seamlessly process unstructured and multimodal data, integrating it with EHRs for comprehensive analytics.