Results for "Predictive Analytics”
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Innowise is a software development and IT consulting company that was founded in 2007. Our company serves IT and non-IT organizations, helping to achieve a variety of goals and objectives with digital solutions and recent trend technologies. We have more than 3000 engineers in our team and successfully delivered more than 1600 projects.
Integrations
Web Apps
Website Design
Data Analytics and Visualization
AI & ML Solutions
React.js
TypeScript
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RELEVANT TALENT
CASE STUDIES
Asset Management Workflow OptimizationOptimizing the workflow of a financial asset management system by improving functionality and usability, allowing investors to manage stock, bonds, and cash.
UppLabs is a software development company delivering secure, compliant, and AI-powered solutions for FinTech, Healthcare, and Real Estate companies since 2014. Trusted by 120+ clients, we help businesses launch scalable digital products faster through full-cycle development, cloud infrastructure, and AI-driven engineering solutions.
Web Apps
SaaS
Blockchain & Crypto
Booking Systems
Banking & Trading Platforms
Kubernetes
Node.js
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RELEVANT TALENT
CASE STUDIES
Blockchain & AI: From MVP to Gamified User EngagementWith a system pushed to its limits, the client found themselves overwhelmed by the influx of users and their in-app interactions immediately after the MVP launch. Understanding that system needs to be started anew to ensure optimal user experiences for both companies and users, the client sought someone who could lay the right architecture and rebuild the app properly.
Sixcore is a software development studio founded by five product engineers with over a decade of combined experience shipping products across startups and enterprises.
Web Apps
SaaS
Mobile Apps
Booking Systems
AI & ML Solutions
Node.js
Next.js
More +
RELEVANT TALENT
CASE STUDIES
From Chasing Invoices to Predictable Revenue: A Direct Debit System That WorksUK SMEs were managing payment collection, payroll, and supplier payments across separate tools with no shared data. The client needed one platform that handled the full financial operations cycle, built to FCA standards, without requiring an in-house compliance or engineering team to maintain it.
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