Results for "XCode”
XCode
Relevance
StartupCraft builds high-quality SaaS and AI-powered mobile and web applications. With 9+ years of experience and 50+ engineers, we deliver scalable products using React, React Native, Node.js, and AWS. Clients include WorkAxle, Morpheus.Network, and Emajin.Golf.
XCode
Integrations
Social Networks
AI & ML Solutions
Mobile Apps
API
React.js
More +
RELEVANT TALENT
CASE STUDIES
Emajin Golf app | iOS/Android, React Native, React, Node.js, OpenAI APIThere was a strong need to foster horizontal connections among members, encouraging them to build relationships beyond structured events.
Codetribe is your intelligence orchestration partner – combining human-led strategy with AI-powered execution to deliver outcomes that matter. Trusted by global leaders like Warner Bros, BMW, and Siemens, we’ve driven 130+ product launches across 10+ years, backed by an exceptional 84 client NPS (industry avg: 30).
XCode
Web Apps
Mobile Apps
CMS
Integrations
AI & ML Solutions
JavaScript
More +
RELEVANT TALENT
CASE STUDIES
Empowering AMS-IX: Seamless Upgrades for a Smoother InternetDuring the project takeover, we identified several critical issues that were impeding innovation and flexibility. Our team created a detailed plan and timeline for updating the system to align with current industry trends and expedite the development of new market-relevant services.
Rubix Code DOO is a full-stack AI development company specialising in building compliant AI ecosystems across healthcare, real estate, business intelligence, and legal tech. We partner with clients to design and deliver end-to-end AI solutions, from data infrastructure and cloud-based inference to industry-facing dashboards and actionable insights.
XCode
AI & ML Solutions
Web Apps
Website Design
Data Analytics and Visualization
Conversational AI
Python
More +
RELEVANT TALENT
CASE STUDIES
- Real-Time EMG Rehabilitation AIExisting system relied on outdated tools that produced delayed, innacurate feedback on recovery. Without real-time EMG-driven insights, clinicians and coaches had no reliable way to objectively track muscle activation and fatigue, forcing decisions based on guesswork rather than data.
