Pharmaceutical industry background

Pharmaceutical Industry

Our industry is at the forefront of technological advancement, pioneering solutions that shape the future of business and society.

TASKOVA-AI supports pharmaceutical enterprises with compliant, intelligent automation systems that accelerate innovation and ensure data integrity. Our solutions optimise clinical data workflows, automate regulatory documentation, and enhance pharmacovigilance accuracy. Deploying AI-powered tools to manage patient records, classify research data, and ensure secure, transparent compliance — driving faster development while upholding the highest industry standards.

Pharmaceutical industry showcase

Our Industry Expertise

Regulatory Documentation Automation

Streamlining the creation, categorization, and archiving of complex compliance documents required by agencies like the FDA and EMA. This reduces manual effort, speeds up submission timelines, and ensures consistency in regulatory reporting.

Clinical Trial Data Management

Using NLP and Machine Learning, clinical trial data can be entered, validated, and analyzed more efficiently. This leads to faster trials, reduced human error, and quicker insights into drug efficacy and safety.

AI for Drug Safety Monitoring

AI enhances pharmacovigilance by automatically detecting and analyzing adverse events across sources such as EHRs, social media, and clinical notes. It enables faster responses to safety signals and supports regulatory compliance with real-time monitoring.

Research Data Classification Engine

Supervised and unsupervised learning models help structure and label vast volumes of unorganized R&D data. This accelerates knowledge discovery, boosts research productivity, and facilitates better decision-making in early drug development.

Patient Record Structuring & Privacy Compliance

Ensures patient health data is accurately structured, anonymized, and stored in a privacy-compliant manner. It supports HIPAA/GDPR regulations while enabling secure access to insights for care optimization and research use.