Partner with Edvantis to build secure, scalable digital products, platforms, and AI-enabled solutions. We provide full-cycle product engineering, from discovery and architecture to development, modernization, operation, and continuous improvement. Combining engineering excellence, AI-enabled delivery, cloud-native practices, and deep business expertise, we turn software into a strategic advantage that supports lasting growth.
We have 21+ years of experience designing, developing, testing, deploying, modernizing, and supporting business-critical products and platforms with proven and emerging technologies.
Since 2020, we have developed predictive machine learning models, generative AI solutions, NLP applications, and advanced analytics capabilities. With 50+ AI, machine learning, and data specialists, we help businesses adopt AI responsibly and embed intelligent automation, natural-language experiences, recommendations, and decision support into software products.
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With 15+ years of data expertise, we integrate sources, engineer reliable pipelines, create warehouses and lakehouse-ready foundations, and optimize data platforms for analytics and AI. We help products use trusted data for reporting, anomaly detection, process visibility, intelligent features, and governed decision-making.
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With 15 years of AWS, Google Cloud, and Microsoft Azure experience, we develop and modernize cloud solutions, plan migrations, and improve scalability and resilience. Our teams support cloud and multi-cloud architectures, Infrastructure as Code, workload management, access controls, observability, backup, and recovery optimization.
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We engineer connected and embedded solutions for HealthTech, transportation, ecommerce, and industrial use cases. Our experience includes processing data from connected medical devices, developing payment and ticketing capabilities, redesigning human-machine interfaces, and integrating devices with cloud platforms and operational systems.
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Modernize end-of-life, monolithic, or difficult-to-maintain systems without losing business continuity. We reduce technical debt, refactor and re-architect applications, enable cloud adoption, decompose systems where appropriate, rebuild critical components, and prepare existing products for data- and AI-enabled capabilities.
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With 11+ years of payment engineering experience, we develop and modernize EMV, NFC, POS, wallet, and ticketing solutions aligned with PCI DSS requirements. Our teams integrate payment ecosystems, support terminal and device software, and improve the reliability and scalability of platforms used by 1M+ people.
Learn moreSince 2020, we have developed predictive machine learning models, generative AI solutions, NLP applications, and advanced analytics capabilities. With 50+ AI, machine learning, and data specialists, we help businesses adopt AI responsibly and embed intelligent automation, natural-language experiences, recommendations, and decision support into software products.
Learn moreWith 15+ years of data expertise, we integrate sources, engineer reliable pipelines, create warehouses and lakehouse-ready foundations, and optimize data platforms for analytics and AI. We help products use trusted data for reporting, anomaly detection, process visibility, intelligent features, and governed decision-making.
Learn moreWith 15 years of AWS, Google Cloud, and Microsoft Azure experience, we develop and modernize cloud solutions, plan migrations, and improve scalability and resilience. Our teams support cloud and multi-cloud architectures, Infrastructure as Code, workload management, access controls, observability, backup, and recovery optimization.
Learn moreWe engineer connected and embedded solutions for HealthTech, transportation, ecommerce, and industrial use cases. Our experience includes processing data from connected medical devices, developing payment and ticketing capabilities, redesigning human-machine interfaces, and integrating devices with cloud platforms and operational systems.
Learn moreModernize end-of-life, monolithic, or difficult-to-maintain systems without losing business continuity. We reduce technical debt, refactor and re-architect applications, enable cloud adoption, decompose systems where appropriate, rebuild critical components, and prepare existing products for data- and AI-enabled capabilities.
Learn moreWith 11+ years of payment engineering experience, we develop and modernize EMV, NFC, POS, wallet, and ticketing solutions aligned with PCI DSS requirements. Our teams integrate payment ecosystems, support terminal and device software, and improve the reliability and scalability of platforms used by 1M+ people.
Learn moreEdvantis software and product engineering services combine two decades of delivery experience, adaptable cooperation models, and deep technology and industry knowledge. We engineer secure, resilient, and AI-ready solutions that address real business priorities, evolve with market needs, and create measurable value for organizations, employees, and customers.
Collenda is a leading supplier of digital products for banks, corporate lenders, and debt collection agencies. Collenda selected Edvantis as its software engineering partner to accelerate product digitalization. Due to tight deadlines and demanding requirements, the company required our mature technological expertise and flexibility in resource scalability.
Six Edvantis Software Engineers coordinated effectively with Collenda’s internal specialists to complete the custom development project in one year. Later, as we integrated into Collenda’s operations and gained knowledge of their software systems, the client retained us for additional projects.
Together we:
We provide flexible cooperation models for different product goals, delivery stages, and levels of ownership.
Use Edvantis’ end-to-end product engineering capabilities to create secure, connected experiences across channels and industries.
Align on business goals, user needs, product vision, and success metrics. Analyze the existing technology landscape, identify opportunities and risks, and define scope, priorities, roadmap, budget, and delivery assumptions.
Design intuitive user experiences, scalable architectures, and secure technology foundations. Validate concepts, define the delivery roadmap, and establish governance, integration, data, and modernization strategies.
Develop software iteratively using Agile practices, AI-enabled engineering workflows, secure coding standards, continuous integration, and automated testing. Deliver incremental value through regular demos, feedback loops, and transparent progress tracking.
Prepare environments, automate infrastructure and deployments, perform final validation, and launch products using DevSecOps best practices. Ensure reliability, security, and operational readiness from day one.
Monitor performance, support users, optimize operations, reduce technical debt, and continuously enhance product capabilities. Scale platforms, improve reliability, and adapt solutions to evolving business and market needs.
Submit the form or get in touch with us by email. You’ll get a response within one business day from an Edvantis expert skilled in your tech stack, industry, or specific business challenge. It would be a pleasure to work with you!
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engagement@edvantis.com
