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Intelligent software solutions & services
for life science excellence
We deliver advanced AI and data-driven services and solutions tailored to life science research and development for faster discoveries and better results.
Book a consultationWhat is VOKA?
At VOKA, we understand the key challenges that accompany pharmaceutical innovation —
from extended discovery timelines to complex clinical trials and escalating development costs.
Our strength lies in interdisciplinary collaboration. AI specialists and life science experts work directly with your research teams to develop tailored solutions that address your specific R&D.
Common challenges
Slow, inefficient drug discovery processes
High costs and long timelines of R&D processes
Complex clinical trial management
Fragmented and manual data analysis
White-label R&D solutions under your brand
Expertise in AI/ML and life sciences
30+
bioengineers, experts in bioinformatics and chemoinformatics, сlinical trial programmers, DS/ML/AI, data engineers
Proven results in accelerating R&D processes
Up to 85% reduction in candidate pools without losing viable leads
Customizable, end-to-end solutions that meet unique research needs
7 proprietary pipelines
Tailored services for every phase of life science R&D
01
Discovery & early development
AI-powered target discovery
Literature review acceleration with LLMs
Multi-omics data integration
AI-driven virtual screening
Research & laboratory data automation
02
Clinical development
Automated assessment of therapy effectiveness
Patient data collection platforms
Statistical analysis tools
Trial monitoring dashboards
Real-world evidence data analytics
03
Quality & patient safety
Quality management systems
Compliance monitoring and reporting
Audit management
Patient safety monitoring
Adverse event tracking
Submit your R&D challenge for assessment
Share your specific problem and receive an AI-driven software proposal.
Contact usRelated services
Scientific data visualization
MoA animations
MoD animations
White-label R&D solutions under your brand
We offer ready-to-deploy, customizable AI pipelines — fully integrated with your existing systems and branded as your own.
Conquer R&D roadblocks with smart AI solutions
Book your free consultation now and speed up your R&D!
Start todayOur focus areas in life science
Drug discovery &
development
AI and machine
learning
Clinical research
support
Medical imaging & signal
processing
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Compliance, quality
& pharmacovigilance
Explore our cases
Analytical platform for pharma
A global pharmaceutical company faced challenges with siloed data, limiting their ability to benefit from advanced analytics, machine learning, and AI. To address this, we developed a cloud-native enterprise data platform on AWS. The solution integrated diverse data streams into a scalable architecture with robust governance, automated pipelines, and advanced analytics capabilities.
The platform features a scalable data lake and warehouse with raw, transformed, and curated data layers for optimized access. Automated pipelines handle data ingestion from various sources, including pharmacovigilance, real-world evidence, and marketing. Advanced tools for data quality and governance ensured lineage tracking, quality testing, and security. These capabilities enable the company to perform predictive modeling, time series analysis, and other AI-powered analytics.
Technologies and tools:
AWS, Snowflake, Azure Devops, MSSQL, Airflow, PowerBI, Python, AWS S3, AWS Lambdas, AWS SageMaker, S3, Glue, CloudWatch, EC2, EKS, Python, Pandas, Numpy, PySpark, Scikit-Learn, PyTorch, MLFlow, statsmodels, scipy.
Extraction bioassay data from literature
Our client needed a solution to extract comprehensive bioassay data from literature since existing databases like ChEMBL and PubChem are valuable but incomplete. We developed a custom NLP pipeline to extract and store bioassay data, publication and publication metadata from literature (patent and scientific publications).
For this purpose, data extracted from the pipeline was combined with annotated datasets, ChEMBL bioassays, and PubChem bioassays to create comprehensive datasets for visualization and analysis. Furthermore, we built an intuitive dashboard with advanced filtering by various parameters (cell lines, assay types, species, targets, compounds, etc.) to enable fine-tuned search.
Technologies and tools:
Bigquery, Looker, Google cloud functions, Python, Pandas, Matplotlib, PostgreSQL, Django, DRF, Spacy, Pytorch Google cloud storage, Hugging Space, BERT
GenAI-powered solution for streamlined clinical documentation
Our client faced challenges in producing accurate and consistent documents from clinical and preclinical operations due to the complexity and time-consuming nature of the process. Their goal was to accelerate report writing, improve quality, and efficiently access relevant trial data. To address this, we developed a GenAI-based application leveraging Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and classical NLP techniques.
This innovative software solution has improved the clinical documentation process, increased its efficiency and accuracy while ensuring consistency. The application includes advanced features like term recognition, which extracts key terms from diverse clinical documents, including scanned and handwritten PDFs, for efficient data management. It also integrates an AI-powered Q&A bot that provides instant answers to questions regarding clinical trial data, such as observations, demographics, and lab results. Additionally, a writing assistant streamlines report creation by pre-filling templates, performing consistency checks, offering structural and clarity recommendations, and automating reference generation.
Technologies and tools:
PyTorch, GPT-4o, Llama, BERT, Hugging Face, Scipy, Spacy, PandasAI, NLTK, Numpy, Scikit-Learn, Pandas, MLFlow, Redis, Docker, Docker Compose, PostgreSQL, Azure, BitBucket.
Lab data integration for enhanced EHR functionality
A healthcare facility, needed to integrate data from numerous disparate laboratory testing devices spread across different laboratories into its EHR system, providing healthcare providers with seamless access to results, including graphical outputs, for improved patient care. Collaborating with healthcare providers and lab personnel, we developed a platform that extracts data from lab equipment output files.
This innovative software solution has improved the clinical documentation process, increased its efficiency and accuracy while ensuring consistency. The application includes advanced features like term recognition, which extracts key terms from diverse clinical documents, including scanned and handwritten PDFs, for efficient data management. It also integrates an AI-powered Q&A bot that provides instant answers to questions regarding clinical trial data, such as observations, demographics, and lab results. Additionally, a writing assistant streamlines report creation by pre-filling templates, performing consistency checks, offering structural and clarity recommendations, and automating reference generation.
Technologies and tools:
Python, Java, MongoDB, MSSQL, Kafka, React, Pytorch, Numpy Pandas, Hugging Face, NLTK, spaCy, pyserial, plotly, stasmodels, SciPy
Circular economy data analytics
A manufacturing company sought to minimize waste and optimize resource utilization by transitioning to a circular economy model, but lacked the data insights to effectively manage material flows and identify improvement opportunities. For this purpose, we implemented an advanced data analytics platform that integrates real-time data across the entire product lifecycle, including material usage, production waste, manufacturing anomalies and errors, and product lifecycle stages.
The platform monitors material flows in real-time, detects inefficiencies and anomalies in manufacturing processes, and triggers alerts to personnel. It analyzes resource consumption patterns and suggests recovery strategies, provides end-to-end visibility into each product lifecycle stage from sourcing to disposal, and tracks key circular economy performance indicators to support continuous improvement towards sustainability goals.
Technologies and tools:
Python, Google BigQuery, Looker, AWS S3, MongoDB, Snowflake, IBM Watson Studio, Julia.
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Get in touch
Book a call or fill out the form and we’ll get back to you once we’ve processed your request.You can contact us using:
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