Scirizz works where scientific complexity and software complexity meet. We bring domain-aware AI, AI-powered cybersecurity, simulation, numerical methods, compiler technology, and production engineering to problems that standard software teams are not built to solve.
Custom model training, foundation-model fine-tuning, multimodal AI, evaluation, quantization, distillation, inference acceleration, GPU optimization, private deployment, and scientific ML for organizations whose model is part of the product or mission.
AI/ML engineering →Bioinformatics, computational biology, omics workflows, systems biology, scientific knowledge extraction, research automation, and AI-assisted analysis.
Biotech capabilities →AI model security, agent and MCP security, secure code analysis, software supply-chain assurance, anomaly detection, private AI infrastructure, and cyber-physical defense.
Cybersecurity capabilities →EO/IR analytics, computer vision, sensor processing, mission simulation, edge AI, autonomy support, decision systems, and high-performance technical software.
Defense capabilities →Computational physics, inverse problems, numerical solvers, optics, signal processing, scientific machine learning, and simulation-intensive research.
Physics capabilities →Scientific data systems, molecular and materials workflows, optimization, surrogate modeling, computational experiments, and AI-assisted technical analysis.
Chemistry capabilities →Modeling and simulation, digital engineering, optimization, control, performance analysis, legacy modernization, and custom technical applications.
Engineering capabilities →Compilers, transpilers, model execution, GPU/CPU acceleration, heterogeneous compute, runtime optimization, and modernization of computational workloads.
Computing capabilities →Our best fit is a problem with real technical constraints: scientific validity, difficult data, unusual hardware, performance limits, specialized algorithms, or a need to turn research code into reliable software.
We can quickly determine whether the right path is a custom model, simulation, optimization method, compiler tool, data system, or a combination of them.
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