Full-Stack AI Platform

ScitiX streamlines every stage of the data lifecycle — from ingestion and labeling to distributed storage and preprocessing. Built for large-scale AI workloads, it ensures high throughput, low latency, and data consistency across clusters. With integrated access control and GPU-optimized pipelines, ScitiX lets teams manage and utilize massive datasets effortlessly for faster, smarter model development.

ScitiX delivers distributed GPU training across thousands of nodes, designed for efficiency, scalability, and stability. From LLMs to diffusion models, our cloud-native scheduler dynamically balances compute loads, maximizing throughput and minimizing idle time. Integrated monitoring and version control let teams iterate faster and manage complex experiments with ease — all within one unified platform.

Built on globally distributed GPU clusters, ScitiX enables ultra-low-latency inference for models of any size. Our intelligent routing and caching system ensures smooth performance under heavy traffic, while flexible APIs allow instant deployment across languages, vision, and multimodal applications. Whether serving billions of tokens or millions of images, ScitiX keeps your inference fast, reliable, and cost-efficient.

With ScitiX, fine-tuning becomes a streamlined, automated process. Our optimized pipelines handle dataset preparation, parameter adaptation, and evaluation with minimal setup. Choose from lightweight LoRA methods or full-parameter updates, all supported by scalable GPU resources. The result: domain-specific intelligence that adapts to your data, delivering better accuracy and faster convergence.