ISV and Technology

Xebia provides end-to-end services for ISVs including cloud-native platform design, AI and data integration, modern architectures (microservices, modular design), CI/CD and platform engineering, developer experience and DevOps accelerators, GenAI adoption frameworks (GenAI OS), lakehouse accelerators (Databricks), cloud landing zones, sustainability/ESG tooling (SustainX), and product-led software engineering through long-term product stewardship and software factory practices.

Xebia combines automation, CI/CD pipelines, platform engineering, test automation, and developer experience frameworks to increase release velocity while maintaining stability. Their approach emphasizes engineering excellence, automated testing, and observability so teams can deliver frequent, reliable releases with reduced friction and improved quality.

Yes. Xebia helps ISVs embed AI across the software development lifecycle and product features — from data platform and model operationalization to feature integration and personalization. Offerings such as GenAI OS and the Databricks Lakehouse accelerator speed generative AI adoption, cost management, onboarding, and integration with providers like Azure OpenAI and AWS Bedrock.

Xebia offers flexible engagement models including dedicated product teams, build-operate-transfer (BOT) setups to establish and scale offshore engineering centers, long-term product stewardship, and outcome-driven software factory models. These adapt to client needs — from augmenting existing teams to fully operating delivery centers or partnering on strategic product initiatives.

Timelines vary based on product size, complexity, and desired outcomes. Typical phases include assessment and strategy (2–6 weeks), incremental migrations and modular refactoring (months), and ongoing optimization and feature delivery. Xebia advocates iterative modernization with prioritized MVPs and platform foundations (cloud landing zone, base fabric) to deliver measurable value early while reducing overall risk.

Xebia does not publish fixed pricing for services because costs depend on scope, team size, technology choices, cloud usage, and engagement model. Pricing is typically based on time-and-materials, fixed-price for well-defined scopes, or outcome-based agreements for longer-term partnerships. For a tailored estimate, Xebia recommends a discovery engagement to define requirements and provide a detailed proposal.

Xebia designs cloud-native architectures with elasticity, automation, and observability, enforces governance through cloud landing zones, and applies engineering and cost-optimization practices (rightsizing, autoscaling, platform cost controls). They combine platform engineering with monitoring and FinOps best practices to ensure platforms scale reliably while controlling cloud spend.