From drug discovery to materials design, we combine AI, computational chemistry, and data science to help you go from hypothesis to insight faster.
What We Do
Comprehensive computational services spanning the full research lifecycle, from molecular design to cloud deployment.
Build confidence in designed molecules before costly synthesis. Get to preclinical candidates faster with AI-powered virtual screening, ADMET predictions, and de novo molecular design.
Computational chemistry and physics for advanced materials design and safe-by-design approaches.
State-of-the-art AI for materials, chemistry, and pharmaceutical applications.
Advanced statistical analysis, design of experiments, and high-performance computing for research acceleration.
Making your research data Findable, Accessible, Interoperable, and Reusable. From compliance assessment and gap analysis to metadata standardization, ontology mapping, and repository integration.
Comprehensive data management ecosystems and cloud-based knowledge systems.
Custom cloud-based platforms with microservices, RESTful APIs, and user-centric design.
Intensive, hands-on training programs in data science, machine learning, and AI. 75% practice, 25% theory. Available as live-online sessions, in-person workshops, and custom corporate programs.
Core Capability
Our computational drug discovery pipeline combines virtual screening, AI-powered property prediction, and generative molecular design to reduce the time and cost of bringing new therapeutics to market.
Screen millions of compounds in silico to find promising leads
Predict ADMET properties and toxicity before synthesis
AI-guided multi-parameter optimization for drug-likeness
Identify biological targets with computational methods
Advanced Technology
Our machine learning models are purpose-built for scientific domains. From QSAR/QSPR modeling to regulatory risk assessment, we bring together domain expertise with cutting-edge algorithms.
Automated model selection, hyperparameter tuning, and validation
Regulatory-grade read-across and uncertainty quantification
Combine multiple models for robust, reliable predictions
Transfer learning for materials, chemistry, and pharma
Data Infrastructure
We handle the entire data lifecycle: collection, curation, FAIRification, analysis, and deployment. Our database solutions and SaaS platforms ensure your research data works as hard as you do.
Full assessment, gap analysis, and improvement roadmaps
Scalable, secure SaaS with microservices architecture
Quality control, enrichment, and standardization pipelines
RESTful APIs, third-party connectors, and repository links
Upskill Your Team
Our intensive bootcamp approach gets your team from learning to doing. With 75% hands-on practice, participants work with real datasets and real tools from day one.
Trusted by leading organizations worldwide
From months to weeks. Let's discuss how our solutions can transform your scientific workflow.