


ScitiX Email Formats
Technology, Information and Internet • Singapore • 1-10 Employees
ScitiX Email Formats
ScitiX uses 2 email formats. The most common is {first name}.{last name} (e.g., john.doe@scitix.ai), used 66.7% of the time.
| Format | Example | Percentage |
|---|---|---|
{first name}.{last name} | john.doe@scitix.ai | 66.7% |
{first name}{last name} | johndoe@scitix.ai | 33.3% |
Key Contacts at ScitiX
Gary Chang
Head Of Business Development Director, Global Expansion & Revenue
Zane Cao
Director
Company overview
| Headquarters | Singapore |
| Website | |
| Employees | 1-10 |
| Socials |
About ScitiX
ScitiX – Delivering Intelligent Computing for the Future of AI ScitiX is a next-generation provider of intelligent computing infrastructure, dedicated to empowering artificial intelligence innovation through high-performance, scalable solutions. Built on deep technical expertise and large-scale cluster operation experience, ScitiX offers a full-stack platform spanning IaaS, PaaS, and MaaS, delivering end-to-end support for AI development workflows. At the core of ScitiX’s offering are high-performance GPU clusters capable of supporting large-scale model training with ultra-low latency interconnects and optimized storage bandwidth. Leveraging multi-cluster management capabilities, ScitiX delivers serverless GPU cloud services with minute-level billing, enabling flexible and efficient resource utilization tailored to diverse AI workloads. The company’s all-in-one AI platform, SiFlow , integrates data ingestion, preprocessing, distributed training, fine-tuning, and inference into a unified system. Designed for both researchers and enterprise users, SiFlow significantly reduces infrastructure complexity, allowing algorithm engineers to focus entirely on model innovation. ScitiX also delivers Model as a Service (MaaS), providing access to a wide range of pre-trained models and tools for evaluation, inference, and deployment. This approach accelerates the development cycle, lowers entry barriers for AI adoption, and supports rapid iteration in complex application scenarios. With a proven track record in managing large-scale GPU clusters at scale, ScitiX delivers reliable, secure, and high-availability services backed by automated monitoring, fault detection, and intelligent scheduling systems. The platform is deployed across Tier-3+ data centers globally, ensuring consistent performance and business continuity for mission-critical AI applications.
Employees by Management Level
Total employees: 1-10
Seniority
Employees
Employees by Department
ScitiX has 4 employees across 3 departments.
Departments
Number of employees
Funding Data
ScitiX has never raised funding before.
Frequently asked questions
4.8
40,000 users



