INTELLITHING

INTELLITHING is an enterprise Meta-Operating System designed for Large Language Models (LLMs). It acts as an intermediary layer between the operating system and the cloud, transforming AI development, deployment, and infrastructure management into a seamless, no-code experience. By automating infrastructure, optimizing resources, and enabling effortless scaling, INTELLITHING empowers users to build, deploy, and run AI applications without the complexity or high costs typically associated with such processes.

INTELLITHING automates your cloud tools and operating system so you build, deploy, scale and inference the end products easily in a visual no-code environment.

Key Principles

1. Cloud Native: INTELLITHING utilises cloud native tools such as Kubernetes and is compatible with almost all cloud providers.
2. Production Grade: INTELLITHING is built for the development and deployment of production ready products with Stability, Reliability, Maintainability, Faster recovery from failure in mind.
3. No vendor lock-in: The end products can be migrated out of INTELLITHING by clicking a single button.
4. Compliance and security at heart: We are fully compliant with SOC 2 and ISO 27001 frameworks.

Key Features

1. Train a Model: With INTELLITHING AutoML you can easily train a supervised model in a no code yet powerful visual editor. INTELLITHING automates the entire ML pipeline — from data preprocessing and model selection to hyperparameter optimisation, ensembling, model explainability, infrastructure, and resource management during training and deployment.
2. Synthetic Data Generation: Takes care of synthetic data generation, modeling, evaluation, privacy metrics, and fairness testing — all within a unified framework.
3. Studio: A full fledged powerful visual editor that enables building of enterprise grade workflows using Hugging Face compatible LLMs, supervised models, agents, and data connectors. With Studio you can deploy any workflows and INTELLITHING will handle infrastructure management, low level operating system resource management, and inference optimisation as well as security and API endpoints.
4. Evaluators: Built in evaluation techniques for testing deployments and workflows.
5. Monitoring and Alerts: INTELLITHING takes care of monitoring of the pipelines, hardware usage, and deployment performance in a simple analytics UI.
6. Simple Integration: INTELLITHING is known for its simple AI/ML integration. Simply connect your data sources and internal/external software to your AI/ML workload and format input and output with ease.

Conceptual Architecture

Technical Architecture

Contact Information

For more details or to schedule a demo, visit INTELLITHING's official website.