aQb Solutions Pvt Ltd

aQb Solutions is a commercial firm that provides big data analytics, software development, and cloud application services. The company describes operations in the USA and Canada and works with clients in healthcare, life sciences, public sector and commercial sectors.

Services and Capabilities

• Clinical data management and clinical biometric services: delivery of data handling, statistical analysis and study-design support for clinical research and trial operations.
• Data engineering and analytics platforms: development of data pipelines, data lakes, analytics platforms and dashboards to support decision-making and reporting.
• AI and machine learning solutions: implementation of AI/ML models integrated into operations and analytics workflows.
• Enterprise application development and modernization: SaaS application development, enterprise mobile apps, legacy modernization and cloud-based application delivery.
• Cloud infrastructure and AWS management: deployment, migration, optimization and ongoing support of cloud services, with AWS partnership capabilities.
• Graph database implementation: design and deployment of graph solutions using technologies such as Neo4j, Amazon Neptune and Apache Giraph.
• IoT data integration: ingesting edge and sensor data into data lakes for downstream analytics.

Industry Focus

• Healthcare and life sciences: clinical research data management, trial master file operations, clinical analytics and biometric/statistical support.
• Pharmaceuticals and biotech: analytics to address revenue leakage, sales gap analysis and trial timeline reduction.
• Public sector: cloud and application deployments consistent with public-sector partnership engagements.
• Logistics, marketing and professional services: enterprise application and platform development for operational and customer-engagement use cases.

Technology and Delivery Approach

• Cloud and AWS-centric delivery: AWS partner status and AWS Public Sector Partner designation are cited alongside a team of AWS-certified engineers; services include cloud migration, deployment and managed support.
• Data and integration focus: emphasis on data pipelines, data lakes, IoT ingestion, graph database design and analytics platform construction.
• Use of programming frameworks and languages: projects utilize languages and platforms such as C++, Python, PHP, Java and .NET.
• Process and quality controls: adoption of Agile methodologies, DMAIC/Lean Six Sigma practices and a documented multi-step delivery method referenced as 5D for project execution.
• Security and compliance: ISO 27001:2013 certification is reported.