Convert unstructured clinical data into actionable intelligence with AI, supporting predictive care, early diagnosis, and better patient outcomes.
Talk to our AI expertsOur Clients
Having worked with leading healthcare, life sciences and biotech organizations, we understand the critical role of AI in driving innovation. That’s why we bring AI and data solutions powered by machine learning in healthcare and medical artificial intelligence to accelerate research, optimize clinical trials, and streamline operations. Our goal is to enhance patient care and speed up drug discovery. By turning complex data into actionable insights, we help organizations move faster from R&D to real-world impact.
We implement machine learning in healthcare to analyze clinical data from EHR, EMR, prescriptions, and patient portals, helping minimize errors and speed up diagnoses. This enables healthcare institutions to optimize care workflows.
We train neural networks with data from healthcare systems to create smart applications for predictive diagnostics and automated record analysis. This helps healthcare entities conduct fraud and insurance verification, helping caregivers discover the full potential of AI in improving patient care.
We use computer vision in medical imaging to train AI systems to detect anomalies in MRI, CT, ultrasound, and X-ray data. This helps clinicians deliver faster and more accurate diagnoses and enables healthcare organizations to ensure compliance with DICOM standards.
We use intelligent automation to optimize appointment management, process insurance claims, and track hospital and lab inventory in real-time. This automates routine administrative tasks, allowing healthcare teams to enhance operational productivity across healthcare systems.
AI-powered insights drive personalized healthcare and faster decisions.
Connect with our expertsHospitals and clinics
Our data and AI solutions assist hospitals in streamlining patient scheduling, resource planning, optimizing treatment planning and enhance patient care. Through computer vision and predictive analytics, we help healthcare providers deploy AI applications that improve medical diagnosis and treatment.
Medtech and wellness
We help medtech and wellness companies build next-gen devices and remote care platforms for diagnostics, monitoring, and personalized care. From predictive analytics to personalized wellness tracking, our solutions are designed to improve health outcomes and deliver competitive market advantage.
Pharma and R&D
We help pharmaceutical and R&D companies apply AI in medicine, clinical trials and vaccine development. By combining predictive analytics, governed data, and MES platforms, we help healthcare reduce deviations, enhance drug quality, and maintain compliance while accelerating research outcomes.
Life science and biotech enterprise
We help life science and biotech companies use AI for research, lab automation, and product innovation. Our solutions improve efficiency from drug discovery to biological production, reducing errors and supporting scientific advancements.
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We combine AI and data science to bring precision in medicine discovery. Our solutions analyze genetic profiles and health records to personalize care strategies and improve treatment accuracy. This approach improves recovery rates among patients and reduces risks.
We create AI-based expert systems that read patient records and medical images to help doctors with accurate diagnoses. By converting complicated data into useful insights, healthcare practitioners can detect warning signs in medical records and act before complications arise.
Our medical image analysis software identifies patterns and anomalies with extreme precision. This enables clinicians to identify issues at the early stage, eliminate diagnostic delays to create accurate patient-centric care plans.
Our custom AI-powered telemedicine and monitoring platforms help healthcare teams remotely diagnose and treat patients. Healthcare providers can remotely monitor patient conditions and identify health risks, ensuring quick recovery and efficient healthcare delivery.
Our clinical trial solutions use AI to simplify patient enrollment, strengthen trial design, and deliver real-time insights. With advanced data analytics, we ensure healthcare organizations conduct efficient trials that reduce delays and deliver safer and effective treatments.
Our AI-powered software streamlines drug discovery and material design by combining predictive modeling and advanced data analytics. This shortens development timelines and helps researchers bring safer, effective drugs and materials to market faster with reduced development costs.
We help healthcare providers streamline practice, radiology, and lab workflows that automate tasks like patient scheduling, medical record management, billing, claims processing, that optimize care delivery. Our data management solutions enable healthcare teams to gain unified visibility across systems and improve care delivery.
We secure sensitive healthcare data with AI-powered fraud detection and advanced encryption. Our solutions use machine learning to monitor threats, detect suspicious activity instantly, and protect critical health data while maintaining compliance and privacy standards.
We design custom AI systems for healthcare by developing AI models that deliver accurate results. With transparent data insights, doctors and caregivers can interpret results, validate recommendations, and ensure accountability.
We engineer AI solutions with safety-first values, ensuring correct model verification, secure data management, and clinical reliability. Our solutions lower risks and enable healthcare professionals to provide safe and reliable care.
Our data and AI solutions simplify healthcare processes through speeding up diagnostics and making administrative tasks easier. Healthcare professionals can provide care quickly and coordinate with teams better. This streamlines clinical and operational processes.
Our AI-driven systems enable healthcare teams to make correct decisions by detecting trends, verifying data, and anticipating patient requirements. This minimizes human error, enhances quality of care, and guarantees reliable clinical results.
We help healthcare teams achieve cost savings through AI-driven automation including patient scheduling, medical record management, predictive analytics, and efficient resource management. Providers can deliver high-quality care while maximizing resources and minimizing unnecessary expenditure.
Develop AI solutions that streamline care delivery and accelerate research to make data-driven decisions while maintaining the highest standards of patient safety.
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Industry
Healthcare
Technologies
Android, Java, Eclipse
Challenges
Business Impact
Client
Walkingspree
Industry
Healthcare
Technologies
Microsoft 365, Microsoft Azure, SharePoint and Power Platform
Challenges
Business impact
Client
Healthcare Organization in USA
Industry
Healthcare
Technologies
Azure Data Factory, Azure ADLS, Azure ML, Azure Synapse, Docker
Challenges
Business impact
Client
Cancer research and treatment organization
Industry
Healthcare
Technologies:
Challenges:
The process of image analysis by biologists to determine whether a cell is cancerous or not was tedious, expensive and time-consuming.
Benefits:
Client:
Cutting-edge cancer treatment center
21+ years of software expertise and a decade of AI excellence in healthcare applications
120+ AI and data professionals focused on improving patient outcomes, clinical workflows, and healthcare innovation
Aligned with Azure, AWS, Databricks, and modern cloud ecosystems to deliver secure, compliant healthcare solutions
Specialized in AI, machine learning, digital twins, big data, and computer vision for diagnostics, remote monitoring, and predictive care
Proven experience building IoT healthcare products that enable telemedicine, wearable monitoring, and connected care systems
Healthcare and life science analytics services use data to uncover insights across patient care, research, and operations. They help providers and researchers make informed decisions faster. This leads to reduced medical errors, improved patient health, optimized clinical decisions, reduced costs, and accelerated innovation in treatments and therapies.
Analytics solutions analyze clinical and operational data to identify trends, predict risks, and optimize workflows. This enables healthcare teams to make faster, more accurate decisions. Ultimately, it improves patient care while reducing inefficiencies and resource waste.
AI-driven analytics help pharma and life science companies accelerate drug discovery, optimize clinical trials, and ensure data compliance. By revealing hidden patterns in research and operations, it reduces risks such as trial failures, regulatory non-compliance, and resource misallocation, while improving productivity in laboratory workflows, data analysis, and trial management. This speeds up innovation and brings medicines to the market faster.
AI can enhance decision-making by analyzing complex patient data and providing predictive insights, improving accuracy and efficiency. Risks include potential data biases and over-reliance on AI. Careful validation, oversight, and human expertise are essential for safe adoption.
AI can detect subtle patterns in medical images, lab results, and patient histories that may indicate early disease stages. It enables predictive modeling to anticipate health risks. This allows clinicians to intervene sooner and design more effective prevention strategies.
AI excels at analyzing large datasets quickly and identifying patterns humans might miss, supporting faster and more precise decisions. However, it complements rather than replaces clinicians. The best outcomes come from combining AI insights with human expertise.
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