Transforming Oncology Clinical Development through Precision AI
Smarter Trials | Quicker Readouts | Lower Cost
Smarter Trials | Quicker Readouts | Lower Cost
We are a Precision AI company transforming oncology and hematology drug development. Built by oncology experts and powered by advanced AI, our platform streamlines clinical trial processes, delivers data-driven insights, and supports smarter decisions so that life-saving therapies can reach patients faster.
Our focus is narrow by design—cancer is complex, and generic AI doesn’t work here. We integrate scientific expertise with intelligent automation to meet the unique demands of modern cancer trials. With every partnership, we aim to raise the standard of precision in oncology drug development.
Chief Medical Officer
A physician-scientist with over 15 years of experience in oncology drug development, leading multiple successful global regulatory approvals. Previously held leadership roles at Amgen, Kite Pharma / Gilead Sciences. Passionate about accelerating innovation in oncology through technology-driven approaches.
Chief Technology Officer
A technology leader with deep expertise in enterprise software architecture and AI-driven platforms, driving large-scale digital transformation initiatives for Fortune 500 companies. Currently the CEO at NexTurn and previously held key leadership and innovation roles at Accenture, and Infosys, delivering complex AI solutions, data platforms, and cloud systems
Approval Rate
Of drugs in clinical trials receiving approval
Years to Market
Average clinical trial duration
Development Cost
Average cost to bring a drug to market
✅ Precision AI must be co-developed by oncology domain experts
✅ Technology implementation must embed oncology domain experts in integration process
✅ An integrated platform is essential to turn insights into action
Purpose-Built Precision AI + Domain-Led Execution + Integrated AI Platform for Oncology
AI in oncology can only succeed when it's built by those who deeply understand oncology drug development.
Patient selection—such as determining appropriate lines of treatment or biomarker inclusion—is complex and trial-specific. Any patient selection AI solution must integrate complex treatment patterns used by oncologists. A generic, one-size-fits-all model will fail to reflect actual clinical decision-making.
Our AI models are co-developed by oncology clinicians, drug developers, and AI scientists, ensuring clinical and scientific fidelity tailored to each study's unique needs.
Deploying AI platforms in oncology trials demands domain expertise—not just software.
EDC platforms are not pre-configured for oncology complexity. Without clinical calibration, generic AI solutions misinterpret expected clinical patterns, triggering irrelevant alerts and introducing data noise.
We embed oncology expertise into every phase of platform deployment. Our team tailor platform configurations to match protocol workflows, visit schedules, and clinical nuances. We validate outputs, adjust thresholds, and work hand-in-hand with sponsor teams to ensure accurate, actionable insights minimizing vendor friction and accelerating time to value.
Precision AI requires connected data across clinical, molecular, and operational silos to drive robust impact to clinical development.
AI tools for protocol optimization may suggest efficient trial designs, but without integration with budget, CRO logistics, or site feasibility systems, they generate idealized protocols that are hard to execute.
We provide a fully integrated platform that enables seamless data flow across study phases. This ensures AI models access the right context, and insights are surfaced directly within the workflows where decisions happen—resulting in smarter, faster, and more executable trials.
Experts identify high-value use cases and craft AI implementation strategies tailored to clinical research goals.
Our advanced AI algorithms deliver predictive, generative, causal, and agentic intelligence for clinical trial optimization.
Scalable cloud architecture and unified data pipelines for seamless integration with existing clinical trial management systems.
Forecasts trial outcomes and patient responses by analyzing historical data patterns
Creates sophisticated clinical documentation while maintaining regulatory compliance
Identifies true cause-effect relationships and enables precise biomarker identification
Functions as autonomous "team member" managing complex workflows in real-time
Seamless learning from trial data and user feedback The AI system is not static but continuously improves over time. It learns from trial data and user feedback, making it more effective with each iteration. Ensures adaptability to the evolving landscape of clinical research
Advanced decision support and generative AI insights Uses AI-powered decision-making to provide recommendations. Generative AI enhances insights by predicting trial outcomes and suggesting optimizations. Helps researchers and clinicians make informed decisions faster. Gen-AI is the new addition.
Specialized agents automating clinical workflows AI-driven agents handle repetitive tasks in clinical trials. Automates data entry, patient monitoring, compliance checks, and reporting. Reduces manual workload, improving efficiency and accuracy. We always provide the best service
Unified clinical data from diverse sources. Integrates multiple data streams. Ensures consistency, accessibility, and interoperability between systems. Creates a strong data backbone for AI-driven insights. Automates data entry, patient monitoring, compliance checks, and reporting.
AI-powered matching algorithms identify ideal candidates faster, reducing recruitment time by up to 40% while ensuring better protocol fit.
Machine learning models analyze historical trial data to streamline protocols, select optimal endpoints, and predict potential challenges before they occur.
An AI-powered tool that matches oncology patients to clinical trials based on real-time clinical and biomarker data.
Proactively identifies and prioritizes critical risks in clinical trials, enhancing data quality and patient safety.
Continuous data monitoring identifies trends, flags potential issues, and provides predictive insights to maintain trial integrity and data quality.
Generative AI accelerates study related and regulatory document generation minimizing cost while ensuring compliance, reducing documentation time by up to 75%.
Automates the standardization of clinical data, enabling seamless integration and faster, compliant regulatory submissions.
We identify your clinical trial challenges and assess AI readiness across people, technology, and processes.
Together we develop a custom AI adoption strategy with quick wins and a long-term scaling plan.
We demonstrate AI-powered insights through targeted implementation focused on your key pain points.
Compare traditional methods with AI-enhanced processes to validate improvements in duration, dropout rates, and costs.
Seamlessly domain expert assisted integration of AI solution into oncology clinical trial workflows, enabling broader impact and operational efficiency.
Contact Us: info@insightsedge.ai