Zifo
SOLVING THE LAB DATA AUTOMATION CHALLENGE
SIMPLIFY LAB DATA MANAGEMENTAcquire, Orchestrate & Standardize
EXPLORE SOLUTIONS TO LAB DATA CHALLENGES
Bridging the Compliance Gap: Achieve ALCOA+ Compliance through Unified Data Infrastructure
QA/QC labs face compliance risks due to fragmented data across instruments, LIMS, and ELNs. Disconnected systems disrupt data lineage and audit trails, increasing manual effort and errors. Legacy infrastructure slows analysis, delaying decisions and inspection readiness.
How LDAS Benefits your Lab
Real-Time Compliance Automation
LDAS captures instrument data in real time via protocols like serial and OPC, enriches it with metadata, and ensures contemporaneous, complete, and compliant records—ready for AI-driven insights.
Exception-Based Quality Control
Automated anomaly detection enables review-by-exception workflows, reducing manual errors and allowing QA/QC teams to focus on critical deviations.
End-to-End Data Traceability
LDAS logs user actions, timestamps, and system events, ensuring transparent, inspection-ready traceability aligned with ALCOA+ and 21 CFR Part 11.
Unified Infrastructure for Inspection Readiness
Establishes a centralized data backbone, enabling real-time visibility, anomaly detection, and proactive compliance management.
Compliance Focused Integration and Data management for QC labs
Biopharma QC labs face strict regulatory scrutiny, where even minor data lapses can trigger FDA warnings and delays. Legacy and modern instruments often rely on manual data transfers, leading to transcription errors, fragmented workflows, and incomplete audit trails. Disconnected systems further increase compliance risks. Labs need secure connectivity, SOP-compliant workflows, and Pharma 4.0 readiness.
How LDAS Benefits your Lab
Compliance Driven Data Integrity
Captures instrument raw data with e-signatures and audit trails, ensuring ALCOA+ and 21 CFR Part 11 compliance.
Operational Assurance through Automation
Eliminates manual errors and broken traceability for complete, compliant records.
Building Robust Lab Connectivity
Bridges legacy and modern instruments via RS232, OPC, and proprietary protocols, enabling SOP-aligned, AI-ready workflows.
Secured and Efficient Lab Operations
Enables SOP-aligned, AI-ready workflows with full traceability and secure data retention.
CDS Integration: From Raw Data to Regulatory-Ready Insights
In manufacturing QA/QC labs, lack of CDS–ELN/LIMS integration leads to manual transcription, increasing errors, delaying batch release, and raising regulatory risks. Disconnected systems create data silos, limit real-time access to quality insights, and weaken audit readiness—slowing QA review and compromising compliance.
How LDAS Benefits your Lab
Enhanced Lab Productivity
LDAS breaks down data silos, enabling real-time access to chromatographic data, reducing manual effort, and supporting faster, compliant batch release.
AI-compatible Standardized Data formats
Secure, automated data transfer from CDS to ELN/LIMS ensures AI-compatible formats, eliminating transcription errors and speeding decision-making.
Exception-Driven QA Review
LDAS detects anomalies and out-of-spec values in real time, enabling QA teams to focus on critical exceptions.
Inspection-Ready Outputs
Time-stamped records, version-controlled chromatograms, and e-signatures ensure ALCOA+ compliance and enable AI-driven audit readiness.
Standardize and Integrate Diverse Instrument Data in Small Molecule Development
Small molecule QA/QC labs face significant challenges in managing analytical outputs from mass spectrometry, NMR, and chromatography. These instruments generate diverse, proprietary data formats. Manual transcription not only introduces errors but also breaks data lineage, making it hard to trace results back to source instruments. This fragmentation prevents AI/ML analytics and compromises regulatory compliance—especially for batch release, impurity profiling, and audit readiness.
How LDAS Benefits your Lab
Unified Data Capture
LDAS ingests raw data from varied instruments via serial, OPC, and proprietary protocols, converting it into standardized, metadata-rich data sets.
Compliance-Ready Records
Time-stamped, version-controlled entries with e-signatures ensure ALCOA+ and 21 CFR Part 11 compliance across workflows.
Accelerated Decision-Making
Automated anomaly detection enables review-by-exception workflows, reducing manual errors and allowing QA/QC teams to focus on critical deviations.
Inspection-Ready Infrastructure
Establishes a centralized data backbone, enabling real-time visibility into assay results and trends.
Quality Meets Compliance: Proactive Batch Decisions Powered by Harmonized Data
In biopharma manufacturing, QC, stability, and batch data from CMOs often arrive in fragmented formats—flat files, images, or proprietary systems. These silos delay reviews, obscure Out-of-Specification (OOS) results and increase compliance risks. Without standardized, accessible data, AI-enabled quality control and predictive insights remain out of reach.
How LDAS Benefits your Lab
Standardized Data Capture for Scalable Compliance
LDAS ingests batch, QC, and stability data in any format, converting it into structured, vendor-neutral datasets enriched with traceable metadata for regulatory submissions.
Compliance Driven Data Integrity
Electronic signatures and audit trails, ensure ALCOA+ and 21 CFR Part 11 compliance for inspection-ready records.
Automated Anomaly Detection and Alerts
LDAS flags anomalies and OOS values in real time, enabling faster, exception-based quality decisions.
AI-Enabled Insights for Proactive Quality Control
Contextualized datasets empower AI to detect trends, predict deviations, and support real-time batch release strategies.
- CDS- ELN/LIMS integration
- Enabling Robust Method Optimization Through AI-Ready Workflows in Small Molecule R&D
- Optimizing PCR Assay Development with Intelligent Lab Data Automation
- Streamlining Bioprocess Development: Automating and unifying laboratory processes
- Intelligent Automation for Scalable and Predictive Cell Culture Workflows
- CRDMO Data Harmonization for Accelerated Biopharma Development
CDS Integration: Scalable Infrastructure for Development Labs
In development labs, Chromatography Data Systems (CDS) supports method scouting, formulation optimization, and stability studies. However, without seamless integration with ELNs or LIMS, manual data handling fragments records, delays timelines, complicates tech transfer, and risks rework—impacting regulatory filings, IP protection, and traceability.
How LDAS Benefits your Lab
AI-Ready Data Architecture
Enables standardized and contextualized capture of CDS data into ELNs/LIMS, ensuring harmonized, structured data that support advanced analytics and AI-readiness.
Real-Time Chromatographic Data Flow
Enables fast, iterative method development by capturing CDS data in real time, allowing scientists to assess results and adjust methods without delays or data loss.
Accelerated Tech Transfer Across Sites
Centralized chromatographic data improves collaboration, reduces rework, and streamlines tech transfer across development sites
Traceable Outputs for IP and Compliance
Ensures AI-ready, traceable chromatography data with e-signatures, login tracking, and ALCOA+ compliance for regulatory and IP needs.
Ensure reproducibility, traceability, and scientific value across multi-modal analytical platforms
Small molecule development involves high-volume, iterative experimentation across diverse analytical techniques—each generating proprietary data formats. Method optimization demands rapid cross-run comparisons, but fragmented systems and manual workflows compromise reproducibility and traceability. The absence of systems that enforce compliance and support advanced analytics hinders quick and accurate decision-making.
How LDAS Benefits your Lab
Reproducibility & Method Traceability
Maintains consistent experimental lineage with metadata-rich records and version control across methods and conditions.
Multi-Technique Integration & Collaboration
Standardizes data from LC/MS, GC/MS, NMR, and spectroscopy into FAIR formats for seamless data sharing across R&D teams.
ALCOA+ Compliance & Audit Trails
Capture time-stamped, version-controlled data with electronic signatures to meet regulatory expectations and ensure traceability.
AI-Ready Data Foundation
Creates structured, searchable data lakes that support ML models for trend detection, method optimization, and molecule progression.
Accelerating Assay Optimization with End-to-End PCR Data Integration
High-throughput PCR workflows generate complex datasets across plates, wells, and assay conditions. After result capture, downstream analysis often relies on disconnected tools like Excel macros or standalone Python scripts. Manual entry, disconnected systems, and missing metadata slow optimization, reduce reproducibility, and increase compliance risk -- limiting scalability and AI-readiness.
How LDAS Benefits your Lab
End-to-End PCR Data Automation
Automates the entire PCR assay lifecycle — from request and result capture to integration with analytical/processing software and ELN/LIMS — eliminating manual errors and enabling high-throughput, scalable data processing.
Reproducibility & Assay Design Protection
Enriches datasets with structured metadata, that ensures traceability, reproducibility, integrity, and consistent assay comparisons across proprietary experimental designs.
Regulatory and Filing Readiness
LDAS enforces ALCOA+ and 21 CFR Part 11 standards with audit trails and e-signatures, ensuring inspection-ready datasets and IP protection.
AI-Ready Data for Predictive Optimization
Transforms raw PCR data into standardized, metadata-rich formats, enabling AI-driven insights for trend detection and predictive assay refinement.
Accelerating Bioprocess Optimization: Integrated Data for Smarter Decisions
Bioprocess development labs face increasing complexity when scaling experiments across bioreactors, inline, at line and offline instruments. Orchestrating time series real time data with sample info from at-line tools like cell analysers is tedious and error-prone. Lack of visibility to holistic high dimensional data hinders traceability, reproducibility, and decision-making.
How LDAS Benefits your Lab
Vendor-Neutral Integration
Automates data capture from bioreactors and at-line instruments using connectors and file watchers, eliminating manual handling and streamlining lab workflows.
Ontology-Based Data Structuring
Standardizes raw data using ontologies like Allotrope and AnIML, enriching it with metadata for contextual insights.
Data Traceability Across Systems
Auto-aligns sample and run data with enriched metadata and link them to experiments and assays in ELN/LIMS.
AI-Ready Bioprocess Insights
Structures bioprocess data into AI-ready formats, flags anomalies, and enables faster, exception-based decisions for scale-up optimization.
Accelerating Process Optimization with Real-Time Bioreactor Data Integration
Cell culture labs generate high-frequency real-time data from bioreactors and inline, at-line, offline instruments. Fragmentation and manual reconciliation disrupt traceability. Without proactive monitoring, scalable and AI-ready infrastructure, reproducibility, predictive modelling, and method transfer suffer.
How LDAS Benefits your Lab
Automated Time Series Bioreactor Data Capture
Connects directly to bioreactors and associated inline, at-line, and offline instruments, capturing real-time data and mapping it to sample IDs and assay results
Cross-Run Comparability and Process Optimization
Standardized metadata enables comparisons across bioreactors and runs, supporting robust reproducibility and process refinement.
Regulatory and IP Filing Readiness
Ensures ALCOA+ and 21 CFR Part 11 compliance, enabling audit-ready, traceable data for regulatory and IP filings.
AI-Ready Data for Predictive Cell Culture Modelling
Transforms raw bioreactor data into structured, metadata-rich formats for AI/ML-driven insights—accelerating decisions and future-proofing scale-up.
Unify Fragmented CRDMO Data to Optimize Scale-Up and Method Reproducibility
In development labs complexity grows with data volume and CDMO handoffs. Incompatible formats from proprietary files to flat reports- create silos, delaying method optimization, complicating data transfer, and increasing compliance risk, operational burden, and decision-making challenges.
How LDAS Benefits your Lab
Cross-Partner Harmonization:
LDAS integrates CDMO data from instruments, ELNs, and LIMS into a standardized, vendor-neutral format using pre-built parser library, eliminating silos and manual rework.
Metadata-Enriched Context:
Datasets retain lineage with metadata, aligning FAIR and ALCOA+ standards for traceability and scientific defensibility.
Reliable Data Capture with Built-In Integrity Controls
LDAS enforces 21 CFR Part 11 and ALCOA+ with secure, error-free data capture and immutable audit trails, reducing compliance risks.
AI-Powered Optimization:
Structured, AI-ready data enables predictive analysis and method optimization.
From Fragmented Data to Informed Decisions: Enabling AI-Ready Research Workflows
CROs deliver experimental data in fragmented, proprietary formats lacking standardized structure and metadata. This complicates data handoffs, extends review, and delays decisions. Researchers often limit data collection to only key results which risks missing anomalies and necessary metadata that could change experimental direction. Traceability gaps slow discovery, reproducibility, and readiness for downstream analysis.
How LDAS Benefits your Lab
Universal data handling:
LDAS converts proprietary data formats from instruments, ELNs, and LIMS into standardized, AI-ready datasets using prebuilt parser library.
Metadata Enrichment
Each dataset is enriched with metadata from file attributes, sample tracking systems, or templates—ensuring completeness, traceability, and compliance readiness.
Accelerates AI Adoption
LDAS transforms raw data into structured, contextualized datasets, enabling faster insights through pattern recognition, assay optimizations and predictive analysis.
Enable high-throughput, metadata-rich, and AI-ready cytometry data pipelines across research
Flow cytometry experiments generate large, complex result files across diverse systems. Flow cytometers produce proprietary formats with variable metadata, complicating downstream analysis and documentation. Manual transfers to tools, analytical software and ELNs cause context loss, inconsistent gating, and poor reproducibility.
How LDAS Benefits your Lab
Context-Rich Metadata Capture
Captures antibody panels, gating strategies, operator info, and sample context as metadata to ensure traceable, reproducible datasets.
Cross-Platform Data Harmonization
Integrates outputs from leading cytometry platforms into standardized, vendor-neutral FAIR formats for consistent analysis.
Automated QC & Exception-Based Review
Streamline cytometer health checks and gating workflows with automated QC pipelines, by flagging only anomalies for manual review.
AI-Ready Data for Accelerated Insights
Structure large cytometry datasets into searchable data lakes, enabling machine learning models to drive faster, more reliable research conclusions.
Accelerating Biopharma Research with CDS–ELN/LIMS Connectivity
In biopharma research, manual data transfers from CDS Systems to ELNs or LIMS often lack essential metadata. This disconnect introduces errors and delays scientific insights, undermining reproducibility. In environments where rapid iteration and scientific decision-making are critical, fragmented data pipelines slow hypothesis testing, hinder data interpretation, and limit advanced analytics — impeding accelerated research progress.
How LDAS Benefits your Lab
Automated Experiment Setup
Connects CDS systems to ELN/LIMS, automating real-time data capture and metadata linking to ensure accuracy and full traceability.
Contextual Data Mapping
Each dataset is enriched with metadata like method versions, injection parameters, and operator details, extracted automatically from file attributes.
Accelerated Decision-Making
Real-time monitoring and data transfer ensure immediate availability of analytical results, reducing validation time and speeding interpretation.
FAIR-Compliant Data Transformation
LDAS converts fragmented CDS outputs into structured, machine-readable formats enriched with metadata—enabling AI/ML analysis.
From Fragmented Sequencing to AI-Ready Discovery
Modern molecular biology labs generate massive, diverse NGS datasets. However, fragmented data from pipelines, missing metadata, and manual checks compromise traceability, reproducibility, and scientific insight. Poor integration across sequencers, bioinformatics tools, and storage systems leads to delays, errors, and data loss—slowing discovery.
How LDAS Benefits your Lab
Automated Bioinformatics Workflows
LDAS automates sequencing pipelines, triggers alert, prevents manual errors, and ensures accurate, reproducible results
Robust Data Storage
Scalable, version-controlled archival ensures secure backup, efficient retrieval, and long-term storage of large sequencing datasets.
Real-Time Monitoring & Alerts
LDAS integrates NGS pipelines with analysis tools and ELN/LIMS systems, enabling real-time monitoring, anomaly detection, and faster, more reliable results.
AI-Ready Data Standardization
Results are transformed into structured, metadata-rich formats—FAIR-compliant and optimized for AI/ML-driven insights.
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Strengthening Compliance and Data Integrity in QA/QC
-
Turning Compliance Challenges into Connected Lab Strengths
-
CDS- ELN/LIMS integration
-
Strengthening Compliance and Data Integrity in Small Molecule Research
-
CRDMO Data Standardization for Quality and Compliance
Bridging the Compliance Gap: Achieve ALCOA+ Compliance through Unified Data Infrastructure
QA/QC labs face compliance risks due to fragmented data across instruments, LIMS, and ELNs. Disconnected systems disrupt data lineage and audit trails, increasing manual effort and errors. Legacy infrastructure slows analysis, delaying decisions and inspection readiness.
How LDAS Benefits your Lab
Real-Time Compliance Automation
LDAS captures instrument data in real time via protocols like serial and OPC, enriches it with metadata, and ensures contemporaneous, complete, and compliant records—ready for AI-driven insights.
Exception-Based Quality Control
Automated anomaly detection enables review-by-exception workflows, reducing manual errors and allowing QA/QC teams to focus on critical deviations.
End-to-End Data Traceability
LDAS logs user actions, timestamps, and system events, ensuring transparent, inspection-ready traceability aligned with ALCOA+ and 21 CFR Part 11.
Unified Infrastructure for Inspection Readiness
Establishes a centralized data backbone, enabling real-time visibility, anomaly detection, and proactive compliance management.
Compliance Focused Integration and Data management for QC labs
Biopharma QC labs face strict regulatory scrutiny, where even minor data lapses can trigger FDA warnings and delays. Legacy and modern instruments often rely on manual data transfers, leading to transcription errors, fragmented workflows, and incomplete audit trails. Disconnected systems further increase compliance risks. Labs need secure connectivity, SOP-compliant workflows, and Pharma 4.0 readiness.
How LDAS Benefits your Lab
Compliance Driven Data Integrity
Captures instrument raw data with e-signatures and audit trails, ensuring ALCOA+ and 21 CFR Part 11 compliance.
Operational Assurance through Automation
Eliminates manual errors and broken traceability for complete, compliant records.
Building Robust Lab Connectivity
Bridges legacy and modern instruments via RS232, OPC, and proprietary protocols, enabling SOP-aligned, AI-ready workflows.
Secured and Efficient Lab Operations
Enables SOP-aligned, AI-ready workflows with full traceability and secure data retention.
CDS Integration: From Raw Data to Regulatory-Ready Insights
In manufacturing QA/QC labs, lack of CDS–ELN/LIMS integration leads to manual transcription, increasing errors, delaying batch release, and raising regulatory risks. Disconnected systems create data silos, limit real-time access to quality insights, and weaken audit readiness—slowing QA review and compromising compliance.
How LDAS Benefits your Lab
Enhanced Lab Productivity
LDAS breaks down data silos, enabling real-time access to chromatographic data, reducing manual effort, and supporting faster, compliant batch release.
AI-compatible Standardized Data formats
Secure, automated data transfer from CDS to ELN/LIMS ensures AI-compatible formats, eliminating transcription errors and speeding decision-making.
Exception-Driven QA Review
LDAS detects anomalies and out-of-spec values in real time, enabling QA teams to focus on critical exceptions.
Inspection-Ready Outputs
Time-stamped records, version-controlled chromatograms, and e-signatures ensure ALCOA+ compliance and enable AI-driven audit readiness.
Standardize and Integrate Diverse Instrument Data in Small Molecule Development
Small molecule QA/QC labs face significant challenges in managing analytical outputs from mass spectrometry, NMR, and chromatography. These instruments generate diverse, proprietary data formats. Manual transcription not only introduces errors but also breaks data lineage, making it hard to trace results back to source instruments. This fragmentation prevents AI/ML analytics and compromises regulatory compliance—especially for batch release, impurity profiling, and audit readiness.
How LDAS Benefits your Lab
Unified Data Capture
LDAS ingests raw data from varied instruments via serial, OPC, and proprietary protocols, converting it into standardized, metadata-rich data sets.
Compliance-Ready Records
Time-stamped, version-controlled entries with e-signatures ensure ALCOA+ and 21 CFR Part 11 compliance across workflows.
Accelerated Decision-Making
Automated anomaly detection enables review-by-exception workflows, reducing manual errors and allowing QA/QC teams to focus on critical deviations.
Inspection-Ready Infrastructure
Establishes a centralized data backbone, enabling real-time visibility into assay results and trends.
Quality Meets Compliance: Proactive Batch Decisions Powered by Harmonized Data
In biopharma manufacturing, QC, stability, and batch data from CMOs often arrive in fragmented formats—flat files, images, or proprietary systems. These silos delay reviews, obscure Out-of-Specification (OOS) results and increase compliance risks. Without standardized, accessible data, AI-enabled quality control and predictive insights remain out of reach.
How LDAS Benefits your Lab
Standardized Data Capture for Scalable Compliance
LDAS ingests batch, QC, and stability data in any format, converting it into structured, vendor-neutral datasets enriched with traceable metadata for regulatory submissions.
Compliance Driven Data Integrity
Electronic signatures and audit trails, ensure ALCOA+ and 21 CFR Part 11 compliance for inspection-ready records.
Automated Anomaly Detection and Alerts
LDAS flags anomalies and OOS values in real time, enabling faster, exception-based quality decisions.
AI-Enabled Insights for Proactive Quality Control
Contextualized datasets empower AI to detect trends, predict deviations, and support real-time batch release strategies.
-
CDS- ELN/LIMS integration
-
Enabling Robust Method Optimization Through AI-Ready Workflows in Small Molecule R&D
-
Optimizing PCR Assay Development with Intelligent Lab Data Automation
-
Streamlining Bioprocess Development: Automating and unifying laboratory processes
-
Intelligent Automation for Scalable and Predictive Cell Culture Workflows
-
CRDMO Data Harmonization for Accelerated Biopharma Development
CDS Integration: Scalable Infrastructure for Development Labs
In development labs, Chromatography Data Systems (CDS) supports method scouting, formulation optimization, and stability studies. However, without seamless integration with ELNs or LIMS, manual data handling fragments records, delays timelines, complicates tech transfer, and risks rework—impacting regulatory filings, IP protection, and traceability.
How LDAS Benefits your Lab
AI-Ready Data Architecture
Enables standardized and contextualized capture of CDS data into ELNs/LIMS, ensuring harmonized, structured data that support advanced analytics and AI-readiness.
Real-Time Chromatographic Data Flow
Enables fast, iterative method development by capturing CDS data in real time, allowing scientists to assess results and adjust methods without delays or data loss.
Accelerated Tech Transfer Across Sites
Centralized chromatographic data improves collaboration, reduces rework, and streamlines tech transfer across development sites
Traceable Outputs for IP and Compliance
Ensures AI-ready, traceable chromatography data with e-signatures, login tracking, and ALCOA+ compliance for regulatory and IP needs.
Ensure reproducibility, traceability, and scientific value across multi-modal analytical platforms
Small molecule development involves high-volume, iterative experimentation across diverse analytical techniques—each generating proprietary data formats. Method optimization demands rapid cross-run comparisons, but fragmented systems and manual workflows compromise reproducibility and traceability. The absence of systems that enforce compliance and support advanced analytics hinders quick and accurate decision-making.
How LDAS Benefits your Lab
Reproducibility & Method Traceability
Maintains consistent experimental lineage with metadata-rich records and version control across methods and conditions.
Multi-Technique Integration & Collaboration
Standardizes data from LC/MS, GC/MS, NMR, and spectroscopy into FAIR formats for seamless data sharing across R&D teams.
ALCOA+ Compliance & Audit Trails
Capture time-stamped, version-controlled data with electronic signatures to meet regulatory expectations and ensure traceability.
AI-Ready Data Foundation
Creates structured, searchable data lakes that support ML models for trend detection, method optimization, and molecule progression.
Accelerating Assay Optimization with End-to-End PCR Data Integration
High-throughput PCR workflows generate complex datasets across plates, wells, and assay conditions. After result capture, downstream analysis often relies on disconnected tools like Excel macros or standalone Python scripts. Manual entry, disconnected systems, and missing metadata slow optimization, reduce reproducibility, and increase compliance risk -- limiting scalability and AI-readiness.
How LDAS Benefits your Lab
End-to-End PCR Data Automation
Automates the entire PCR assay lifecycle — from request and result capture to integration with analytical/processing software and ELN/LIMS — eliminating manual errors and enabling high-throughput, scalable data processing.
Reproducibility & Assay Design Protection
Enriches datasets with structured metadata, that ensures traceability, reproducibility, integrity, and consistent assay comparisons across proprietary experimental designs.
Regulatory and Filing Readiness
LDAS enforces ALCOA+ and 21 CFR Part 11 standards with audit trails and e-signatures, ensuring inspection-ready datasets and IP protection.
AI-Ready Data for Predictive Optimization
Transforms raw PCR data into standardized, metadata-rich formats, enabling AI-driven insights for trend detection and predictive assay refinement.
Accelerating Bioprocess Optimization: Integrated Data for Smarter Decisions
Bioprocess development labs face increasing complexity when scaling experiments across bioreactors, inline, at line and offline instruments. Orchestrating time series real time data with sample info from at-line tools like cell analysers is tedious and error-prone. Lack of visibility to holistic high dimensional data hinders traceability, reproducibility, and decision-making.
How LDAS Benefits your Lab
Vendor-Neutral Integration
Automates data capture from bioreactors and at-line instruments using connectors and file watchers, eliminating manual handling and streamlining lab workflows.
Ontology-Based Data Structuring
Standardizes raw data using ontologies like Allotrope and AnIML, enriching it with metadata for contextual insights.
Data Traceability Across Systems
Auto-aligns sample and run data with enriched metadata and link them to experiments and assays in ELN/LIMS.
AI-Ready Bioprocess Insights
Structures bioprocess data into AI-ready formats, flags anomalies, and enables faster, exception-based decisions for scale-up optimization.
Accelerating Process Optimization with Real-Time Bioreactor Data Integration
Cell culture labs generate high-frequency real-time data from bioreactors and inline, at-line, offline instruments. Fragmentation and manual reconciliation disrupt traceability. Without proactive monitoring, scalable and AI-ready infrastructure, reproducibility, predictive modelling, and method transfer suffer.
How LDAS Benefits your Lab
Automated Time Series Bioreactor Data Capture
Connects directly to bioreactors and associated inline, at-line, and offline instruments, capturing real-time data and mapping it to sample IDs and assay results
Cross-Run Comparability and Process Optimization
Standardized metadata enables comparisons across bioreactors and runs, supporting robust reproducibility and process refinement.
Regulatory and IP Filing Readiness
Ensures ALCOA+ and 21 CFR Part 11 compliance, enabling audit-ready, traceable data for regulatory and IP filings.
AI-Ready Data for Predictive Cell Culture Modelling
Transforms raw bioreactor data into structured, metadata-rich formats for AI/ML-driven insights—accelerating decisions and future-proofing scale-up.
Unify Fragmented CRDMO Data to Optimize Scale-Up and Method Reproducibility
In development labs complexity grows with data volume and CDMO handoffs. Incompatible formats from proprietary files to flat reports- create silos, delaying method optimization, complicating data transfer, and increasing compliance risk, operational burden, and decision-making challenges.
How LDAS Benefits your Lab
Cross-Partner Harmonization:
LDAS integrates CDMO data from instruments, ELNs, and LIMS into a standardized, vendor-neutral format using pre-built parser library, eliminating silos and manual rework.
Metadata-Enriched Context:
Datasets retain lineage with metadata, aligning FAIR and ALCOA+ standards for traceability and scientific defensibility.
Reliable Data Capture with Built-In Integrity Controls
LDAS enforces 21 CFR Part 11 and ALCOA+ with secure, error-free data capture and immutable audit trails, reducing compliance risks.
AI-Powered Optimization:
Structured, AI-ready data enables predictive analysis and method optimization.
-
CRDMO Assay Data Standardization for Research Labs
-
Optimizing Flow Cytometry Workflows for Scalable, Insight-Driven Research
-
CDS- ELN/LIMS integration
-
Integrating molecular biology laboratories - NGS pipeline management
From Fragmented Data to Informed Decisions: Enabling AI-Ready Research Workflows
CROs deliver experimental data in fragmented, proprietary formats lacking standardized structure and metadata. This complicates data handoffs, extends review, and delays decisions. Researchers often limit data collection to only key results which risks missing anomalies and necessary metadata that could change experimental direction. Traceability gaps slow discovery, reproducibility, and readiness for downstream analysis.
How LDAS Benefits your Lab
Universal data handling:
LDAS converts proprietary data formats from instruments, ELNs, and LIMS into standardized, AI-ready datasets using prebuilt parser library.
Metadata Enrichment
Each dataset is enriched with metadata from file attributes, sample tracking systems, or templates—ensuring completeness, traceability, and compliance readiness.
Accelerates AI Adoption
LDAS transforms raw data into structured, contextualized datasets, enabling faster insights through pattern recognition, assay optimizations and predictive analysis.
Enable high-throughput, metadata-rich, and AI-ready cytometry data pipelines across research
Flow cytometry experiments generate large, complex result files across diverse systems. Flow cytometers produce proprietary formats with variable metadata, complicating downstream analysis and documentation. Manual transfers to tools, analytical software and ELNs cause context loss, inconsistent gating, and poor reproducibility.
How LDAS Benefits your Lab
Context-Rich Metadata Capture
Captures antibody panels, gating strategies, operator info, and sample context as metadata to ensure traceable, reproducible datasets.
Cross-Platform Data Harmonization
Integrates outputs from leading cytometry platforms into standardized, vendor-neutral FAIR formats for consistent analysis.
Automated QC & Exception-Based Review
Streamline cytometer health checks and gating workflows with automated QC pipelines, by flagging only anomalies for manual review.
AI-Ready Data for Accelerated Insights
Structure large cytometry datasets into searchable data lakes, enabling machine learning models to drive faster, more reliable research conclusions.
Accelerating Biopharma Research with CDS–ELN/LIMS Connectivity
In biopharma research, manual data transfers from CDS Systems to ELNs or LIMS often lack essential metadata. This disconnect introduces errors and delays scientific insights, undermining reproducibility. In environments where rapid iteration and scientific decision-making are critical, fragmented data pipelines slow hypothesis testing, hinder data interpretation, and limit advanced analytics — impeding accelerated research progress.
How LDAS Benefits your Lab
Automated Experiment Setup
Connects CDS systems to ELN/LIMS, automating real-time data capture and metadata linking to ensure accuracy and full traceability.
Contextual Data Mapping
Each dataset is enriched with metadata like method versions, injection parameters, and operator details, extracted automatically from file attributes.
Accelerated Decision-Making
Real-time monitoring and data transfer ensure immediate availability of analytical results, reducing validation time and speeding interpretation.
FAIR-Compliant Data Transformation
LDAS converts fragmented CDS outputs into structured, machine-readable formats enriched with metadata—enabling AI/ML analysis.
From Fragmented Sequencing to AI-Ready Discovery
Modern molecular biology labs generate massive, diverse NGS datasets. However, fragmented data from pipelines, missing metadata, and manual checks compromise traceability, reproducibility, and scientific insight. Poor integration across sequencers, bioinformatics tools, and storage systems leads to delays, errors, and data loss—slowing discovery.
How LDAS Benefits your Lab
Automated Bioinformatics Workflows
LDAS automates sequencing pipelines, triggers alert, prevents manual errors, and ensures accurate, reproducible results
Robust Data Storage
Scalable, version-controlled archival ensures secure backup, efficient retrieval, and long-term storage of large sequencing datasets.
Real-Time Monitoring & Alerts
LDAS integrates NGS pipelines with analysis tools and ELN/LIMS systems, enabling real-time monitoring, anomaly detection, and faster, more reliable results.
AI-Ready Data Standardization
Results are transformed into structured, metadata-rich formats—FAIR-compliant and optimized for AI/ML-driven insights.
BUILDING BLOCKS FOR YOUR DIGITAL LAB STRATEGY
Data Integrity
Implement ALCOA+ principles to ensure consistent and complete data.
Data Orchestration
Effortlessly capture and manage multistage experiments for faster, smarter results.
Enterprise Integration
Combine the lab data stream into your enterprise architecture with our open and modular framework.
Data Centralization
Get data off your instruments and centralize them in the cloud.
Metadata Enrichment
Contextualize your instrument data with metadata from various repositories
Data Standardization
Transform instrument raw content to your standard for FAIR data and mining. View Instrument Parsers >
ON-DEMAND WEBINAR | FROM INSTRUMENTS TO INSIGHTS LAB DATA AUTOMATION @ ZIFO
OUR CAPABILITIES
Our team of experts includes domain experts, service professionals, project managers, software developers, and cloud data architects to ensure the success of your lab data automation project. While our list of out-of-the-box instrument connectors is ever-growing, our team has the capacity and skills to build those needed for your specific project.
We are uniquely positioned to solve your lab data automation challenges. Whether you need a turnkey solution or are looking to augment infrastructure you have already put in place, our team is ready – with a highly skilled center of excellence in India and local resources to tackle hands-on tasks in your lab.
We have a GLOCAL (global & local) presence - meaning we engage with you in your language and time zone but leverage a global delivery support model to remain cost-effective, scalable and very reactive.
Our lab data automation capabilities are part of the broader ecosystem of Zifo. Whether you need to help to support your lab infrastructure or devise a validation strategy for your lab data automation system, Zifo is here to help.
We partner with many of the key players in the field of lab data automation. With our extensive experience and knowledge in the field, we can provide implementation services, supplement instrument connectors or provide consultative services to fine tune your IT strategy.
