Selected Case Studies
Real engagements. Real outcomes. Delivered by dedicated expert teams.
Enterprise Sample Lifecycle Platform
Manual tracking led to 18% sample loss and repeated compliance issues across multiple sites.
Built a secure web + mobile platform with full chain-of-custody, cold-chain IoT monitoring, role-based access, and automated regulatory reporting.
Sample loss dropped below 0.8%. Audit preparation time reduced by 72%. Now used by over 4,200 researchers daily.
Multi-Site Biorepository Operations Dashboard
Zero real-time visibility into inventory across 7 freezers and partner labs, leading to expired samples and delays.
Real-time inventory system with barcode scanning, predictive usage models, automated alerts, and compliance exports.
Inventory accuracy improved from 71% to 99.4%. Expired samples reduced by 64%.
Clinical Trial Patient Matching Engine
Manual screening of patient records took weeks, delaying critical trial phases.
NLP-powered data pipeline that extracts clinical criteria from unstructured EMR data and matches patients to active trials.
Screening time reduced by 85%. Trial enrollment accelerated by 3 months on average.
Genomic Data Processing Pipeline
Legacy on-premise servers could not handle the 400% increase in sequencing data volume.
Serverless cloud architecture to ingest, normalize, and process genomic datasets at scale with automated QC checks.
Processing time per genome cut from 14 hours to 45 minutes. Infrastructure costs optimized by 40%.
FDA Compliance & Audit Portal
Scattered documentation and manual approval workflows risked regulatory penalties.
Centralized document management system with e-signatures, version control, and automated audit trails.
Achieved 100% compliance in recent FDA audit. Approval workflows shortened by 50%.
Lab Automation Middleware
Incompatible lab instruments required manual data entry, causing high error rates.
Custom middleware layer communicating via HL7/ASTM protocols to sync instrument data directly to the LIMS.
Eliminated manual data entry. Data transcription errors reduced to zero. Lab throughput increased 35%.