CR2
Introduction
Circulant's CR2 is an integrated and layered product for managing clinical trials effectively. It houses trusted and compliant lake on a validated cloud environment for advanced AI/ML-driven research and insights generation.
AI-Driven Clinical Intelligence
CR2 is a layered product for clinical data management and analytics on a validated cloud environment that unifies data, analytics, and document workflows across the clinical trial lifecycle. It enables faster trial execution, trusted regulatory insights, and improved operational efficiency for Life sciences organizations.
cSPACE
cSPACE is a Validated SAS Cloud Offerings that delivers plug and play Statistical Programming and Computational Environment for Life sciences organization to analyze complex biological and medical data.
Clincal Data Lake
Circulants design, build and manage robust Clinical Data Lake that delivers a unified data repository, harmonizing diverse data streams to store, manage and deliver highly reliable clinical trials data across the clinical trials lifecycle.
Clinical Data Management
Query Management, Data Review & Cleaning Workflows, Data Reconciliation, Data Quality Monitoring, Database Lock Support and AI-Assisted Data Review & Anomaly Detection.
Biometrics, CDISC & Data Std.
Deliver standardized, submission-ready clinical datasets through expert biometrics, statistical programming, and CDISC implementation. Our services accelerate data transformation, analysis, and regulatory reporting using industry-standard tools and automated workflows.
Bioinformatics
Transforming complex biological, genomic, and clinical data into actionable insights through scalable bioinformatics, advanced analytics, and AI-driven solutions.
Quality & Compliance
Supporting clinical and translational research through robust quality systems, regulatory compliance, data integrity, and risk-based validation.
cRAI
Out-of-the-box data management and analytics solution cRAI improves collaboration, and accelerates research outcomes across genomics, clinical research, and bioinformatics.
cDOX
cDox is a Validated Paperless workflow tool using electronic systems with built-in AI to manage and document processes traditionally handled by paper.
Highlights
Combine, store and access your clinical trials data from all sources in one secure location.
Accelerate quick deployments with pre-configured templates and compliant infrastructure.
Statistical Computing Environment (SCE) with HPC provisioning and GxP compliance.
AI-enabled automated digital workflows for streamline registration and credentialing
Embedded intelligence to speed up trial processes.
Scalable from Descriptive to Predictive analytics.
cSPACE
Statistical Programming and Computational Environment
Modern Life science research generates vast amounts of data from areas such as genomics, clinical studies, and bioinformatics. cSPACE is a Validated SAS Cloud Offerings that delivers plug and play Statistical Programming and Computational Environment for Life sciences organization to analyze complex biological and medical data. It enables scientists to uncover patterns, validate research findings, and accelerate discoveries in disease research, drug development, and personalized healthcare.
Scalable
Data lake
Across cloud platform (AWS/Azure/GCP)
Proven
Data Security
Virtual Machines/Tight
AD control
Enhanced
Workflow Process
Audit Trail Capability
and Usage Log
Initialization &
Linker Programs
Improved Productivity
for Programmers
User-friendly
Environment
SAS/R programming
and analytics
SAS -
Git Integration
Robust
Version Control
Clinical Data Lake
The Trusted Clinical Data Foundation for Modern Trials.
Clinical trial data originates from multiple sources (EDC, CTMS, labs, devices, to name a few) in structured, semi-structured, and unstructured formats, creating challenges in integration and standardization. Circulants designs and manages scalable Clinical Data Lakes that unify diverse trial data into a reliable repository, enabling consistent access across the clinical development lifecycle to maintain data lineage, quality, and compliance.
Built on a four-zone architecture
Our data lakes ensure controlled ingestion, trusted datasets for regulatory and clinical analytics, and secure environments for advanced research.
Raw, Refined (cleansed)
Trusted (validated)
Exploration (sandbox)
Clinical Analytics
CDM
Clinical Data Management
Query Management, Data Review & Cleaning Workflows, Data Reconciliation, Data Quality Monitoring, Database Lock Support and AI-Assisted Data Review & Anomaly Detection.
- Query Management: Efficient management of clinical data queries to ensure timely resolution and high-quality datasets.
- Data Review & Cleaning Workflows: Identify and resolve data discrepancies through standardized review and cleaning workflows.
- Data Reconciliation: Reconcile clinical data across multiple sources to ensure consistency, completeness, and compliance.
- Data Quality Monitoring: Continuously monitor data quality to detect issues early and improve data reliability.
- Database Lock Support: Support database lock activities through final data review, reconciliation, and lock readiness.
- AI-AssistedData Review & Anomaly Detection: UseAI to detect data anomalies and quality issues, accelerating review andreducing manual effort.
Query Management, Data Review & Cleaning Workflows
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Deliver standardized, submission-ready clinical datasets
CDISC
Biometrics, CDISC & Data Standards
Deliver standardized, submission-ready clinical datasets through expert biometrics, statistical programming, and CDISC implementation. Our services accelerate data transformation, analysis, and regulatory reporting using industry-standard tools and automated workflows.
- SDTM Lite Mapping & Transformation: Transform raw clinical data into SDTM-compliant datasets with faster, streamlined mapping.
- SDTM Generation: Develop submission-ready SDTM datasets aligned with CDISC standards.
- ADaM Development: Create analysis-ready ADaM datasets with complete traceability for statistical analysis.
- TLF Production: Generate accurate, submission-ready Tables, Listings, and Figures.
- Centralized Clinical Data Models: Standardize and consolidate clinical data to enable consistent reporting and analysis.
- Automated Data Ingestion Pipelines: Automate data ingestion and transformation to improve efficiency and data quality.
- SAS, R & Python Programming: Deliverscalable statistical programming for clinical data analysis and reporting.
- CDISC Standards Implementation: Implement CDISC standards to ensure compliant, standardized, and submission-readyclinical data.
Bioinformatics
Transforming complex biological, genomic, and clinical data into actionable insights through scalable bioinformatics, advanced analytics, and AI-driven solutions.
- Functional Genomics: Analyze gene function and molecular pathways to support target discovery and disease research.
- Transcriptomics Analysis: Analyze RNA-Seq and single-cell data to identify expression patterns and molecular signatures.
- Regulatory & Non-Coding RNA Analysis: Study miRNA, siRNA, and other non-coding RNAs involved in gene regulation and disease.
- Cancer Genomics: Characterize genomic variants and tumor heterogeneity to support precision oncology.
- Cell & Gene Therapy Bioinformatics: Integrate multi-omics and clinical data to accelerate cell and gene therapy research.
- Longitudinal Biomarker & ctDNA Analysis: Track biomarkers and ctDNA to monitor treatment response and disease progression.
- Clinical & Translational Data Analysis: Analyze clinical and molecular data to support efficacy, safety, and translational research.
- Bioinformatics Pipeline Development: Develop automated, scalable pipelines for genomic and clinical data processing.
- AI-Driven Bioinformatics: Apply AI and machine learning for biological data analysis and biomarker discovery.
- Molecular Docking & Simulation: Evaluate molecular interactions using docking and simulation to prioritize drug candidates.
Transforming complex biological, genomic, and clinical data into actionable insights
Supporting Clinical and Translational Research
Quality & Compliance
Supporting clinical and translational research through robust quality systems, regulatory compliance, data integrity, and risk-based validation.
- GxP Quality Systems: Develop GxP-compliant quality systems, SOPs, and controlled processes.
- Clinical Research Compliance: Ensure clinical research complies with GCP, protocols, and regulatory requirements.
- Computer System Validation: Deliver risk-based validation for clinical and research systems across their lifecycle.
- Data Integrity & Governance: Ensure data accuracy, traceability, security, and regulatory compliance.
- Audit & Inspection Readiness: Prepare teams, systems, and documentation for audits and regulatory inspections.
- Risk Management: Identify, assess, and mitigate quality, operational, and regulatory risks.
- Controlled Documentation: Develop and manage SOPs, validation documents, and quality records.
- Vendor & Supplier Quality: Qualify and monitor vendors, CROs, laboratories, and technology partners.
- Change Control & Configuration Management: Manage system and process changes through controlled assessment andimplementation.
- CAPA & Deviation Management: Investigate deviations and implement effective corrective and preventiveactions.
- Regulatory & Standards Alignment: Align processes with GxP, ICH, 21 CFR Part 11, EU Annex 11, and otherregulatory standards.
- Quality by Design: Embed quality and risk management throughout clinical and translational research processes.
cRAI
Reports, Analytics & Insights
Out-of-the-box data management and analytics solution
Empowering Life science researchers with powerful tools to manage, analyze, and visualize complex biological data. cRAI helps to rapidly on-board, manage, and govern Clinical data for insightful analytics. With Artificial Intelligence and Machine Learning Reports, cRAI improves collaboration, and accelerates research outcomes across genomics, clinical research, and bioinformatics.
- Flexible Integration with Multiple Data Ingestion Pipelines for Unified Data Source
- Governs the entire data journey, from raw input to actionable insight
- Scalable for Descriptive to Predictive analytics.
- Artificial Intelligence and Machine Learning based Clinical Reports
- Built in Data Quality Management
Integration of data science
& Life sciences.
cDOX
Validated Paperless workflow tool
cDOX is a Validated Paperless workflow tool using electronic systems with built-in AI to manage and document processes traditionally handled by paper. cDOX reduces errors, ensures Regulatory Compliance, enhances Data Security, and speeds up data handling and analysis.
Advanced algorithms to improve data extraction accuracy and predictive analytics.
Add notes, comments, and highlights directly on electronic documents
Clinical documents are securely submitted as PDFs, ensuring confidentiality and regulatory compliance.
Convert clinical trial data from PDF documents into usable formats for quick analysis and reporting.