Product Engineering
Full-stack development of AI-powered products from concept to production deployment.

Overview
Our product engineering teams build AI-native applications from the ground up — combining elegant UX with robust backend systems. We follow agile methodologies to deliver MVPs quickly and iterate based on real user feedback and business metrics.
Capabilities
- Full-stack web and mobile application development
- AI feature integration into existing products
- Microservices and API-first architecture
- UX/UI design for enterprise and consumer products
- Quality assurance and automated testing
- Product discovery and technical feasibility assessments
Use Cases
- AI-powered SaaS platform development
- Mobile apps with on-device ML capabilities
- Internal tools and workflow applications
- API marketplaces and developer platforms
Delivery Process
Discover
Stakeholder workshops, requirements analysis, and success metrics definition.
Design
Solution architecture, UX flows, security review, and delivery roadmap.
Develop
Agile sprints with continuous integration, code review, and quality gates.
Deploy
Cloud-native rollout on Azure with monitoring, documentation, and handover.
Optimize
Performance tuning, model retraining, and ongoing support SLAs.
Frequently Asked Questions
Discovery and MVP delivery typically range from 8–16 weeks depending on scope. Enterprise rollouts may extend to 6–12 months with phased delivery.
Yes. We integrate with ERP, CRM, data warehouses, and legacy platforms. Our teams specialize in hybrid and cloud migration scenarios.
We serve healthcare, finance, manufacturing, retail, logistics, telecom, and insurance with domain-specific accelerators.
We offer fixed-scope projects, time-and-materials, and managed services retainers. See our Pricing page for engagement models.
Bavanex operates from Belgium, Netherlands, Serbia, and Chennai with hybrid and remote delivery models for global clients.
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