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Clinical development today demands not only speed but absolute precision. You are tasked with accelerating patient recruitment, improving real-time visibility into trial performance, and reducing risks that can delay critical product launches.
Navigating regulatory complexity is your daily reality. You aim to harmonize global submissions, minimize compliance risks, and maintain full audit readiness — all while responding swiftly to changing regulations and market expectations.
Launching and scaling products effectively defines your success. You seek actionable market intelligence, tools to forecast demand more accurately, and better channels to engage healthcare professionals and key decision-makers, ensuring strong brand positioning from day one.
Pharmaceutical companies face numerous challenges in a rapidly evolving landscape, with increasing demands for research and development of new drugs. Rising R&D costs, stricter regulatory requirements, changing patient expectations, and global supply chain instability are creating significant pressure on the industry. However, digital innovation and data-driven strategies offer new opportunities. They enable faster drug development, optimize operational processes, enhance clinical trial efficiency, and improve collaboration between teams. Through these technologies, companies can accelerate the creation of new drugs, reduce costs, and ensure high levels of safety and quality. Advanced technology solutions, including AI, play a crucial role in development and validation, creating a significant impact at every stage of the product lifecycle.
Custom AI Data Processing & Search System
Accelerate your lab workflows with a tailored automation solution that scans, structures, and filters research data using metadata-driven algorithms. Unlike generic off-the-shelf tools, we build systems designed around your specific data types, collection methods, and lab formats — ensuring seamless search, sorting, and cross-referencing.
From experiment logs and sensor outputs to biomedical records, our platform automatically processes incoming data and links it with internal or open-access knowledge bases, giving your team instant, contextual access to the full research picture.
Custom AI Search Engine with Natural Language Understanding (NLU)
We build an intelligent search engine that enables teams to quickly find relevant research, files, experiments, or graphs — even if they are named differently or described in another way.Such solutions integrates with internal repositories, databases, and file systems of the company and conducts searches within scientific articles and publicly available research. It analyzes content, context, and associated metadata to provide a comprehensive picture of previous studies. The system also learns over time, improving search accuracy and understanding of corporate terminology.
Custom Models for Molecule Analysis:
Developing custom AI models to analyze large datasets of chemical and biological data. These models allow researchers to predict properties of molecules such as toxicity, bioavailability, and effectiveness based on historical data and previous experiments. These solutions help significantly reduce the number of tests by focusing attention on the most promising candidates.
Custom AI-Driven In Vitro Research
Strengthen your in vitro testing processes with custom AI models that analyze and predict outcomes for a range of tests, including drug interactions with cell cultures, toxicity analysis of chemical compounds, enzymatic activity studies, and genetic or biochemical reactions in controlled environments. By leveraging both historical and real-time data, these models reduce the need for repetitive testing, streamline decision-making, and accelerate the path to reliable results.
AI for In Vivo Planning and Analysis
AI enables intelligent in vivo planning by analyzing historical and real-time data from previous experiments, optimizing testing conditions, and conducting data searches to identify the most relevant organisms and conditions for new molecule testing. This solution allows researchers to predict the organism’s reaction to new molecules without the need for physical tests. AI helps select the most promising candidates for experimentation, minimizing required tests and enhancing research efficiency.
Drug Interaction Custom Prediction Models
Utilizing AI to create predictive models that analyze chemical properties, biological effects, and historical data to predict potential interactions between different drugs. We develop custom solutions that use machine learning algorithms trained on large datasets to forecast how drugs might interact in the human body, helping healthcare providers avoid dangerous combinations.
We create personalized drug interaction prediction systems that integrate chemical, pharmacological, and patient data. By analyzing known interactions and the individual conditions of the patient, we provide healthcare providers with valuable insights that help prevent harmful effects from drug combinations.
Custom AI-Powered Data Insight Platform
A custom AI-powered data analysis platform that uses artificial intelligence to identify correlations, patterns, and hidden dependencies in your historical experimental data. This enables better understanding of processes, optimization of bioprocess experimental options, and more informed decision-making without the need for costly physical testing.
Implement an AI-powered solution that integrates clinical trial data from diverse sources, such as patient demographics, biomarkers, medical histories, treatment protocols, and clinical outcomes. The system uses machine learning algorithms to analyze historical and ongoing data, automatically recognizing patterns within different patient groups and predicting treatment outcomes. It combines data from multiple clinics and sources into a unified platform, enabling a comprehensive view of the trial, improving data integration and correlation. This allows for faster, more accurate analysis, enhances decision-making by providing visual insights, and ultimately leads to more informed choices regarding drug efficacy and patient safety.
Custom AI-Driven Regulatory Documentation Management
We propose a custom AI-assisted Regulatory Intelligence and Document Management System designed to support your team in managing compliance throughout the entire research lifecycle. The system helps monitor global regulatory sources and quickly identify data relevant to new or updated requirements. Once updates are detected, it assists in locating associated internal documents and processes that may need to be revised. The system streamlines document navigation, highlights what requires review or re-approval, and recommends next steps based on predefined workflows.
Custom Integrated Data Management Platform
Break down departmental barriers by implementing a unified, automated data management platform that ensures seamless synchronization across all R&D departments and is fully tailored to your organizational structure and needs.
We design custom solutions that consolidate data from research, experimental, laboratory, preclinical, clinical, and analytical areas into one environment. This enables faster collaboration, more accurate analytics, and full regulatory compliance.
Custom IoT Systems
Utilize an IoT-based solution to collect and analyze real-time data from lab equipment and biosensors. By integrating sensors that monitor critical variables such as pH, temperature, oxygen levels, and nutrient concentrations, this system allows researchers to track and adjust experimental conditions continuously. It provides actionable insights for optimized decision-making, automating responses to changing conditions and ensuring more efficient experiment management.
AI Predictive Maintenance
We develop a custom-tailored predictive maintenance solution specifically for pharmaceutical manufacturing, where IIoT sensors are installed on critical equipment like compressors, cleanroom systems, and sterilization units to monitor parameters such as temperature, vibration, and pressure in real time. This data feeds into an analytics engine trained on typical equipment behavior in regulated production environments, enabling early detection of potential issues and forecasting failures 7–14 days in advance. Maintenance can then be scheduled proactively during planned downtime. The solution integrates with existing production and quality systems, automatically triggering service tasks and ensuring traceable, audit-ready maintenance workflows.
Custom Vision AI System
We develop a custom Vision AI system that seamlessly integrates with existing pharmaceutical production lines to enable real-time quality control. The system automatically detects shape defects, color inconsistencies, and foreign particles in tablets, capsules, and vials; verifies label accuracy, serial numbers, barcodes, and expiration dates without stopping the line; inspects liquid fill levels and cap integrity by comparing each unit to a reference image; and removes defective units from the line using robotic arms. All data is captured and securely stored to ensure full traceability and compliance.
AI-Powered Inline Counting System
We implement vision-enabled inline counting systems that use advanced Vision AI to count pharmaceutical units — vials, ampoules, capsules, or packaging — in real time with <1% error margin. This eliminates the need for bulky traditional counters and reduces human involvement on the line. The counting data is instantly transmitted to the warehouse management system (WMS), allowing automated stock updates, triggering reorder workflows, and ensuring production continuity by preventing stockouts of critical components.
Custom Digital Compliance Platform
We create platforms that integrate with existing QMS, MES, LIMS, and ERP systems to automate regulatory change monitoring, document version control, and real-time audit-ready reporting. The platform continuously tracks global regulatory sources, flags relevant changes, and links them to affected SOPs, batch templates, and validation protocols, guiding experts through necessary updates. The e-Batch Records module automatically collects data from production lines, eliminating manual entry errors, and captures immutable audit trails and compliant electronic signatures.
Custom Smart Energy Management Platform
We develop smart energy management platforms that integrate with existing BMS, MES, ERP, and IoT infrastructures to enable real-time monitoring, automated control, and predictive energy optimization. The platform continuously collects data from HVAC systems, chillers, and process equipment via wireless sensors, analyzing it with AI algorithms to detect inefficiencies, predict performance degradation, and recommend optimal operating parameters based on production schedules and environmental conditions. Interactive dashboards provide instant visibility into energy consumption per batch or shift, while automated alerts notify teams about abnormal patterns or required maintenance, helping pharmaceutical plants reduce energy costs and improve sustainability.
Custom Digital Waste Management Platform
We build purpose-driven waste management modules that integrate with MES, LIMS, and ERP systems to automate the classification, tracking, and reporting of pharmaceutical waste. Real-time production and lab data feed into the platform to categorize waste accurately, auto-generate compliant documentation, and provide centralized dashboards for audit readiness. Integrated sustainability analytics track packaging use and support the shift toward recyclable and biodegradable alternatives.
Custom IoT Platform for Drug Delivery Control
The development of an IoT platform that integrates with existing systems to track the storage conditions and transportation of drugs at every stage of the supply chain in real-time. Sensors are used to monitor temperature, humidity, and location, allowing for prompt responses to changes and ensuring compliance with storage conditions.
Custom Pharmacovigilance System
An AI-powered platform for drug safety monitoring that uses data analytics collected from hospitals and consumer reports to identify adverse effects and enable quick responses.
Custom Patient Support System
A mobile app-based solution utilizing AI to support patients in adhering to their treatment plans. Such platforms offer companies an effective tool for promoting both existing and new products to their patient base. It provides personalized recommendations and reminders tailored to specific conditions, helping patients track their medication intake, adjust dosages, and monitor their treatment progress. Patients can upload their test results and progress, allowing for more informed treatment adjustments.
Our client, a healthcare company, worked with our team to build an opioid monitoring device based on their prototype. The company needed a functional system for patients, and our team helped solve the problem. We leveraged technology to provide scalability, rapid development, data integrity, and seamless integration with external systems. Our team's solution delivered significant benefits to the client by providing a reliable and efficient opioid monitoring device.
Thank you for your message!
Your request will be carefully researched by our experts. We will get in touch with you within one business day.
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