AI For Your Trial, Grounded in Real Patient Care

Clinical trials, especially in oncology, are expected to move faster than ever. And every step adds more data, more variability, more complexity. The real challenge? Turning continuous, multi-source real-world data into clear decisions quickly and confidently. Querent™ , our clinical-grade AI platform from Mango Sciences, turns real patient data into actionable trial intelligence, revealing where eligible oncology patients are, which sites are ready to enroll, and where operational bottlenecks may arise

Querent™ by Mango Sciences analyzing real-world patient data to match inclusion and exclusion criteria, enabling AI-driven clinical trial feasibility and enrollment.

Querent™ by Mango Sciences dashboard visualizing site readiness and patient availability using AI-driven clinical trial intelligence and real-world data.

Querent™ by Mango Sciences displaying AI-driven cohort feasibility insights using real-world patient data, including inclusion and exclusion criteria analysis.

Querent™ by Mango Sciences showing a patient timeline view that tracks real-world clinical events to support AI-driven trial intelligence and eligibility assessment.

Speeding Up Clinical Trial Execution with AI

AI Technology that connects real-world datasets with trial operations so studies start sooner, enroll faster, and reach patients more effectively.

Electronic Health Records from real care environments
Clinical-grade datasets structured to reflect actual patient
Validated, protocol-ready workflows aligned to trial criteria for patient randomization
Machine Learning + NLP models that read free-text clinical notes, pathology, meds history, and radiology summaries
Cloud and federated architectures to enable secure, multi-institution collaboration

Clinical researchers using AI-powered clinical trial intelligence to analyze real-world patient data, accelerating trial execution, enrollment, and operational decisions.

Querent™: AI Model Built for Global Trials

We connect the data pipeline, the science, and the operations into one live system

We pull clinical notes, pathology reports, imaging summaries and structured EHR fields into a unified model.
NLP and clinical ontologies turn messy free text into searchable eligibility criteria.
Result: your trial criteria become queryable across sites in near-real time.

Run realistic feasibility queries across historical and current patient records.
See where eligible patients actually exist: by site, by region, by subpopulation
Result: smarter site selection and fewer surprises at activation.

Querent matches trial inclusion/exclusion logic to active patient records and flags candidates for outreach.
Matches feed site worklists and CRAS - not static reports.
Result: faster screening starts and fewer screen-fail shocks

Accelerating Patient Recruitment with AI Enabled Real Intelligence

Our platform uses advanced AI to analyze real clinical data from both structured fields and unstructured clinical notes to surface patients who genuinely match your oncology trial criteria. But we don’t stop at algorithms. Every AI-generated match is clinically reviewed by our human intelligence team to ensure accuracy, relevance, and feasibility for your study.

This combination gives sponsors a validated, near-real-time view of potential oncology cohorts, accelerates pre-screening, reduces site burden, and makes early recruitment conversations far more targeted. The result is simple: faster, clearer, more efficient patient recruitment grounded in real patient care, not guesswork.

Speak to our scientist

Cut planning time from weeks to days

Patient identification
accelerates

Reduce site dependency with earlier
visibility & independent view of patient availability.

Site selection becomes
evidence-driven

Activating the right sites.

Icon showing a circular arrow pointing down.

Diversity expands
naturally

Enrolling under-represented patients
using clinical-grade RWE

Icon showing a flask and chemical structures.

Cleaner, analysis-ready data

Cleaner, analysis-ready
data

Reducing typical back-and-forth
required during data cleaning.

Smarter decisions

Feasibility and forecasting that
actually reflect real clinical practice.

Cut planning time from weeks to days

Patient identification accelerates

Reduce site dependency with earlier visibility & independent view of patient availability.

Site selection becomes evidence-driven

Activating the right sites.

Icon for downstream processing and purification.

Diversity expands naturally

Enrolling under-represented patients using clinical-grade RWE

Cleaner, analysis-ready data

reducing typical back-and-forth required during data cleaning.

Smarter decisions

feasibility and forecasting that actually reflect real clinical practice.

AI-Enabled Oncology Trials

Oncology trials demand precision and agility. For over 16 years, we have partnered with global investigators and KOLs to design and deliver studies that reflect how cancer is treated in the real world. And now we are bringing AI-driven clinical intelligence to identify eligible patients sooner and speeds up the patient recruitment process across sites.

Active Partnerships with Indian Hospital Groups

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Curated Oncological Lives

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Hospitals in Tier 1 & Tier 2 cities

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Oncologists Engaged

Going beyond Algorithms

Empowered by real Intelligence

While AI accelerates how we analyse, predict, and optimise clinical trials, our Real Intelligence – the collective expertise, scientific curiosity, and ethical commitment of our people- remains our greatest strength.

It’s this human insight that gives context to data, foresight to innovation, and meaning to every decision we make.

Together, human and artificial intelligence enable us to navigate complexity with clarity, ensuring that every trial we deliver is driven not just by technology, but by purpose.