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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).
Selenium
Web Apps
Mobile Apps
CMS
Integrations
AI & ML Solutions
JavaScript
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A Strategic Partnership in FinTech: Building a Future-Ready Payments Core for Credit Suisse Platform needed to unify a complex and fragmented landscape of legacy core banking systems, third-party payment gateways, and modern FinTech services to offer a seamless micro-payments solution. This fragmentation was a major barrier to innovation, creating data silos and security vulnerabilities that made launching new, competitive payment products a slow and high-risk process.
We are a software development and tech outsourcing partner delivering end-to-end digital solutions. Our 50+ experts specialize in custom software, mobile/web apps, and enterprise solutions. From design to deployment, we ensure product and business development with an 8+ year proven track record of success. We add skills and commitment to companies.
Selenium
CMS
CRM
Booking Systems
API
E-Commerce
PHP
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CASE STUDIES
SportyMate: Revolutionizing Sports Facility BookingCreate intuitive web and mobile applications for easy booking and facility management.
DAC.digital is a leading European software and AI development company, specializing in delivering tailored solutions across various industries. With expertise in AI/ML, IoT, and cloud technologies, we provide end-to-end services, from ideation to deployment, ensuring innovation, scalability, and efficiency for our clients worldwide.
Selenium
Integrations
Cloud Computing
Architecture
Enterprise Software
API
Java
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CASE STUDIES
- Enhancing Job Portal Efficiency with AutomationSwiftly, a Stockholm-based startup, grappled with two significant challenges within their job portal. Firstly, accurate categorization of job listings posed difficulties, leading to suboptimal user experiences and ineffective job matching. Secondly, the manual job application process was time-consuming and resource-intensive, restricting scalability.
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