Gen AI

AI Model Scaling
Our end-to-end capabilities extend to the critical phases of AI model scaling and productionisation. We provide a suite of services designed to seamlessly integrate your developed models into operational environments. This includes expert model tuning for peak performance, containerization for deployment flexibility, latency optimization for enhanced user experience, sophisticated orchestration (as needed), and the implementation of scalable infrastructure for production readiness. By entrusting these critical steps to our specialized teams, your data scientists can solely focus on delivering cutting-edge AI models, assured of their successful and scalable deployment.

AI Model Validation and Testing
Selecting the right AI model is crucial for the success of any project. At Astralinx. Our validation framework incorporates a data-centric lens with a strong focus on refining input data integrity. Leveraging our deep expertise in model selection, we guide you toward the best and optimal solution for your use case. In addition, we provide actionable performance testing metrics and insights, empowering you to maintain the highest levels of model efficacy and output quality.

AI Model Maintenance
To ensure a high and consistent ROI on your AI investments, a proactive model maintenance strategy is very critical.

It is important to note that AI models that are deployed in dynamic settings are susceptible to performance degradation as environmental variables and data patterns evolve, diminishing their ability to accurately interpret new information. Astralinx's proprietary model maintenance framework provides a robust solution, enabling our team to continuously monitor, adapt, and optimize your models, thereby preserving their predictive accuracy and maximizing their long-term impact on your business.