AITIS TECHNOLOGY
Dive Into the New Age of Accelerated Analytics
AITIS SUITE
The AITIS Suite delivers an end-to-end set of workflows and tooling for building AI systems, taking teams from raw data to production-ready models with speed and consistency. It accelerates the model development lifecycle by providing standardised processes, automated evaluation, and integrated explainability.
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To streamline the transition from development to production, the Suite includes built-in quantisation and compression utilities, as well as comprehensive performance and latency testing. These capabilities ensure that models are both deployment-ready and optimised for real-world environments.
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Standardised procedures across every stage of development enable rapid, repeatable model delivery. The Suite integrates directly with the AITIS Platform to provide frictionless deployment and lifecycle management.
We provide ready-made templates across a wide range of modelling tasks, including:
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Image classification and regression
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Tabular classification and regression
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Time-series classification, prediction, and forecasting
The Suite supports models ranging from classical statistical methods to state-of-the-art deep learning architectures.
The AITIS Platform delivers rapid, stable, and efficient deployment of AI services, providing a seamless bridge between model development and production operations. Once a machine learning model has been developed, the Platform orchestrates every stage required to operationalise it. This includes automated selection and configuration of the appropriate hardware and runtime environment, containerisation using industry-standard technologies, and thorough performance, load, and resilience testing to validate readiness for real-world use.
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The Platform supports deployment across multiple environments, from public and private cloud to proprietary on-premise systems, ensuring flexibility for diverse organisational requirements. It manages the full lifecycle of deployed services by integrating version control, rollout strategies, model registry functions, and continuous delivery pipelines. These capabilities help maintain consistency, reduce operational risk, and accelerate time-to-service.
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A distinguishing feature of the AITIS Platform is that all deployed models come with integrated explainability functions by default. This includes model interpretation tools that provide transparent insights into predictions, support regulatory and compliance needs, and offer rich observability for monitoring and debugging.
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Through a combination of automation, standardisation, and robust infrastructure, the AITIS Platform ensures a smooth, reliable, and production-ready pathway from data science outcomes to high-performance AI services.
