Standalone, platform-independent software that packages any predictive model developed by NovaMechanics into a custom-made solution. Ideal for specific research applications requiring offline, dedicated tooling. - Custom-packaged predictive models - Platform-independent (Windows, macOS, Linux) - Molecular modelling & database access - Data mining & manipulation tools - Tailored to your research needs
AI-powered cheminformatics and nanoinformatics web services. Access 500+ validated predictive models for drug discovery, materials design, and safety assessment — all from your browser, free of charge. - 500+ predictive models as web services - Drug discovery, materials design, patient stratification - OECD-validated models for regulatory compliance - No installation — runs in any browser - API access for programmatic workflows
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25+ processing modules for the Asclepios analytics platform, covering cheminformatics, bioinformatics, and nanoinformatics. GPU-accelerated for big data, with database access and rapid workflow prototyping. - 25+ cheminformatics & nanoinformatics modules - GPU-accelerated for big data analysis - Database mining & retrieval tools - Predictive model development & validation - Rapid workflow prototyping in Asclepios
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High-throughput Molecular Dynamics screening platform capable of analysing thousands of chemicals efficiently. Combined with NovaMechanics' in-house HPC infrastructure for materials science and drug discovery. - High-throughput MD screening - Thousands of chemicals per run - In-house HPC infrastructure - Materials science & drug discovery - Nanoparticle & membrane simulations
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No-code AI/ML platform adapted for flight data analysis, threat assessment, and predictive maintenance — designed for non-programmer military personnel. - No-code ML environment - Flight data analytics - Design of Experiments - Predictive maintenance Our Isalos Analytics Platform has been adapted for military aviation use cases, enabling fighter pilots, drone operators, and non-programmer military personnel to apply machine learning models directly to flight performance data without writing a single line of code. Flight data from sorties and training exercises is processed through a visual, workflow-based interface where users can apply classification, regression, clustering, and anomaly detection models. Results include performance trend analysis, predictive maintenance indicators, and mission readiness scoring. The platform supports Design of Experiments (DoE) for systematic evaluation of flight parameter combinations, enabling data-driven optimization of mission profiles and equipment configurations. No-Code ML Environment Visual workflow interface enabling non-programmers to build and apply ML models Performance Trend Analysis Identify degradation patterns and performance anomalies across flight data series Predictive Maintenance ML-based prediction of component failure and maintenance requirements from flight telemetry Design of Experiments Systematic evaluation of flight parameter combinations for mission profile optimization Isalos Analytics Platform adapted for flight data analysis. Designed for non-programmers — fighter pilots and drone operators can apply ML models to flight performance data.
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