Elinext

Elinext was hired by a major banking company to modernize their old payment system, expand its functionality, and make it scalable for future needs. The company selected Elinext due to their high ratings, proximity, affordability, and strong referral from a fintech partner. A team of 6-10 employees from Elinext built a full ERP system with payment processing, tax management, inventory, and reporting modules. They also developed admin and client web apps and APIs for mobile. Multiple apps were created by them on top: for payments, rentals, ticketing, and even airport security checks. The system was integrated with Visa, MasterCard, and other processors, and additionally supported analytics-based customer personalization.

TransPerfect, a content solutions firm, hired Elinext to replace their outdated Domino-based clinical trial platform with something modern, compliant, and easy to use. Elinext was selected due to their affordable pricing and company values that aligned with TransPerfect. A large team of 65 employees from Elinext built a modular SaaS platform for managing clinical trial documents, from super admin and study-level admin panels to client-facing features like secure e-signatures, dashboards, audits, Q&A, and more. They also migrated modules from ExtJS to Angular and integrated with Alfresco, SharePoint, DocuSign, AdobeSign, and others.

A chemicals & biotechnology company hired Elinext to speed up their predictive biomanufacturing platform, optimize and stabilize existing code modules, and support proof-of-concept development to boost sales conversion. Elinext was selected because they were quick to understand the company's domain (biopharma + predictive models). A team of 6-10 employees from Elinext worked on optimizing the company's predictive biomanufacturing system. One team focused on making their modules faster and more stable while helping with proof-of-concept work to improve sales conversion. The other team researched and refined open-source modules, cutting down parameters to speed things up, then adding an AI algorithm to expand outputs for graphs and visualizations. They also tested ways to boost performance with Amazon Cloud.