Why Choose Us

iNDX.Ai has a vision — to help scientists, researchers, and principal investigators find a cure for cancer by combining innovations in science with innovations in technology. We provide a SaaS-based model that provides deeper insights, accelerates scientific discovery, and enable better outcomes.

FASTER
FASTER
  • Automate the sample tracking workflow
  • Automate data aggregation and organization from various stakeholders – CROs, labs, sites etc.
  • Automate primary, secondary, and tertiary data analysis for all the exploratory datasets collected during the trial.
SMARTER
SMARTER
  • iCore helps you collaborate with all key stakeholders involved in the clinical trial.
  • Clinical operations teams, scientists, bioinformaticians, and medical reviewers rely on iCore for real-time data visibility to facilitate informed decision-making and forge collaborations.
EFFICIENT
EFFICIENT
  • Data-driven and risk-based monitoring of patients through real-time access to data.
  • Gather clinical intelligence that allows you to take actionable decisions.
INFORMATIVE
INFORMATIVE
  • Predictive analytics enables identification of results in patients and facilitate biomarker discovery.
  • AI-powered deconvolution of extensive data to guide patient management and stratification.

REQUEST CALL BACK

To find out more, you can call our help desk or send us an e-mail. We would be delighted to provide you with more information or answer your questions.








iCore

APPLICATION SUITE

An innovative informatics platform for a comprehensive and organized approach in managing data-intensive and biomarker-rich immuno-oncology clinical trials

iTracker is a solution for the clinical trial sample and consent tracking. It empowers study teams to monitor the health of clinical trials from a sample-centric perspective across a distributed ecosystem of sites, labs, vendors, and biobanks.

  • Automated reconciliation of planned vs. actual biospecimen collection and shipment.
  • Up-to-date and real-time biospecimen tracking across a network of clinical trial sites, partners, and vendors.
  • Notification on logistics details and resolution of operational issues for trial biospecimens.
  • 100% user-configurable search and report on all data points.
  • Automated patient consent tracking that improves utilization of information for ongoing and future trials.

iUploader allows laboratories, sites, and vendors to efficiently upload, store, share, and transfer the data in a central cloud-based repository so that researchers have instant and real-time access to raw data. The highly secure cloud-based platform offers compliance with HIPPA and 21CFR part 11 norms.

  • A completely automated process that eliminates the chances of manual errors and results in a considerable reduction in time.
  • Organizes the information in specially suited-architectures for easy querying of data across different assays/studies.
  • It performs QC and validation to continuously monitor the regularity and conformity of data.
  • Highlights inconsistencies in accordance with the validation & QC standards set by the user giving them autonomous control of the data.
  • A detailed report is generated for every upload enabling seamless monitoring and management of dynamic data.
  • Automatic email alerts at each step during upload are generated to continuously inform the user and ensure tracking of data.
  • Real-time dashboards show data transfer pipelines.

iAnalytics is a powerful analytical backend tool supported by a Kubernetes cluster. This auto-scalable feature ensures that the resources are balanced in accordance with the load on the system.  It provides a framework to plug-in new algorithms.

  • A slice-and-dice analysis (in contrast to batch mode) of the samples enables quick and efficient creation of experimental cohorts of interest and conduct comparative analysis.
  • An automatic data monitoring system that activates corresponding downstream pipelines and generates outputs.
  • 100 pre-configured molecular data analysis pipelines.
  • Allows the creation of a library of informatics pipeline and plug-in new user pipelines for analysis.

iDiscovery puts rigorous state-of-the-art machine learning algorithms, interactive data analysis tools, and intuitive visualization windows into the hands of researchers. The multi-layer analysis solution allows a much cleaner interpretation of high-throughput experimental omics data in translational research.

  • Primary analytics and advanced analytics coupled with dynamic visualization tools.
  • Interactive visualizations to connect segregated data silos.
  • Single Patient View (SPV) shows an integrated view of IHC, flow cytometry, cytokine, NGS, radiology, and pathology datasets to evaluate response and expression of genes & biomarkers over treatment cycles.
  • Single Study View (SSV) help you find micro-trends involved in response to different therapeutic agents.
  • Collaboration modules allow a seamless way to communicate with other members of the team (e.g. site investigators, lab directors, etc.).
  • Helps you draw meaningful conclusions and accelerate immunotherapy discoveries.

iQuery is an advanced data interrogation engine based on Natural Language Processing and free text formatting techniques. It allows clinical researchers, scientists, and data managers to run text queries across clinical, biomarker, and imaging datasets without programming.

  •  Define queries and subqueries in a simple text query language to compare and correlate different types of datasets.
  •  Informative graphical and tabular visualizations of data.
  • No need to rewrite new queries. Ability to store and export old queries and results deploy them based on your convenience.
  • This application completely avoids the hassle to browse through multiple excel files to design crude data filters.

Integrated Correlation Engine (iCE) empowers researchers to accelerate scientific discovery by deriving useful trends from disparate and segregated sources that include — clinical data from electronic data capture (EDCs), patient’s biochemical lab results, and multiomics results generated during the study. In this manner, the iCE application empowers researchers to conduct a comprehensive analysis of trends, correlations, and anomalies in real time as clinical trial data pours in from multiple sources.

  • Insights from omics datasets can help mine previously unexplored biomarkers at specific time points and monitor their change in response to therapy.
  • Ability to run Principal component analysis (PCA), identify specific clusters of biomarkers, and identify relevant pharmacogenomic cohorts within the patient subpopulation
  • Ability to conduct a retrospective screening on specific time points and identify previously missed predictive biomarkers.

OUR BROCHURE

View our Company brochure for an easy to read guide on our offered product.

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WHITE PAPER

Accelerating biomarker discovery in Immuno-Oncology using AI

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CASE STUDY

A comprehensive collaborative case study for Academic centres

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Key Features

We have developed a novel approach for managing Immuno-Oncology clinical trials and translational research

Multi-omics cloud-based data lake

  • Harnesses the power of diverse clinical trial datasets (Clinical, Safety, Molecular, Proteomic, Cellular, Imaging, and Public datasets) to accelerate R and D
  • Automatically centralizes and interlinks the data across all the organizations involved in your trials.

Multi-omics cloud-based data lake

  • Harnesses the power of diverse clinical trial datasets (clinical, proteomic, cellular, imaging, and molecular data) to accelerate R and D
  • Automatically centralizes and interlinks the data across all the organizations involved in your trials.

Built-in Collaboration tool

  • Enables all the stakeholders to access and analyze the data.
  • Allows dynamic sharing of important results.
  • Real-time data visualizations of clinical trial milestones allow investigators to present rapidly emerging information in conference and scientific events.

Built-in Collaboration tool

  • Enables all the stakeholders to access and analyze the data.
  • Allows dynamic sharing of important results.
  • Real-time data visualizations of clinical trial milestones allow investigators to present rapidly emerging information in conference and scientific events.

Codeless Configurations

  • It is an easy-to-use off-the-shelf product that offers a point-and-click interface
  • It is highly flexible as it can be quickly configured and re-configured at the discretion of IT or designated R&D users without the need for extensive coding.

Codeless Configurations

  • It is an easy-to-use off-the-shelf product that offers a point-and-click interface
  • It is highly flexible as it can be quickly configured and re-configured at the discretion of IT or designated R&D users without the need for extensive coding.

Open Integration

  • Open source REST APIs that are described with accessible documentation.
  • Completely transparent APIs ensure easy and flexible integration of your platform with the existing suite of applications.

Open Integration

  • Open source REST APIs that are described with accessible documentation.
  • Completely transparent APIs ensure easy and flexible integration of your platform with the existing suite of applications.

Easy Extensibility

  • Translational research team often needs additional functionalities that other rigid off-the-shelf software programs cannot provide.
  • Instead of investing in a separate solution, iCore with its open infrastructure capabilities accommodates custom development for the specific research needs.

Easy Extensibility

  • Translational research team often needs additional functionalities that other rigid off-the-shelf software programs cannot provide.
  • Instead of investing in a separate solution, iCore with its open infrastructure capabilities accommodates custom development for the specific research needs.

Secure and Complaint

  • iCore has been designed to meet the technical requirements for compliance.
  • It is compliant in accordance with applicable regulations such as GDPR, 21 CFR Part 11, HIPAA, etc.

Secure and Complaint

  • iCore has been designed to meet the technical requirements for compliance.
  • It is compliant in accordance with applicable regulations such as GDPR, 21 CFR Part 11, HIPAA, etc.

AI-based scientific insights

  • Put together the genomics profiles of subjects with the clinical data and start to understand patterns and response rates using iCore AI-powered technology.
  • Conduct patient stratification and biomarker analysis for your immuno-oncology clinical trial

AI-based scientific insights

  • Put together the genomics profiles of subjects with the clinical data and start to understand patterns and response rates using iCore AI-powered technology.
  • Conduct patient stratification and biomarker analysis for your immuno-oncology clinical trial

What Our Clients Say

"Adopting iNDX Technology’s Machine learning capabilities for centralized clinical monitoring of entire study and patients not only help us to view the clinical information in a more holistic view but also provide us useful insights about efficacy, safety of our immunotherapeutic agent. "
CMO of an emerging pharma company
Chief Medical Officer

"Adopting iNDX Technology’s Machine learning capabilities for centralized clinical monitoring of entire study and patients not only help us to view the clinical information in a more holistic view but also provide us useful insights about efficacy, safety of our immunotherapeutic agent. "
"We send our patient samples to RNA Seq Analysis to a 3rd part lab. It took us more than 4 weeks to run and re-run analysis on RNASEQ. Now with this iNDX approach, re-running RNA-SEQ Pipeline takes hours as opposed to weeks and has considerably improved our ability to analyse RNA Data."
CSO of a leading pharma company
Chief Scientific Officer

"We send our patient samples to RNA Seq Analysis to a 3rd part lab. It took us more than 4 weeks to run and re-run analysis on RNASEQ. Now with this iNDX approach, re-running RNA-SEQ Pipeline takes hours as opposed to weeks and has considerably improved our ability to analyse RNA Data."

News and Media

Be up to date with the latest news, innovations & collaborations of iNDX.