AI Native Software Engineering
Reimagine Software Development
Xebia offers a pragmatic, results-driven approach to software modernization and digital transformation. There are no empty promises—just measurable impact. We use AI to amplify, not replace, engineering expertise. We deliver scalable, structured workflows that drive efficiency and unlock real business outcomes.
Shifting Software Development Paradigms
Transformative Potential
AI has the potential to solve one of software engineering’s biggest challenges: delivering more value faster despite the ever-growing complexity that slows teams down.
Barriers to Adoption
Adoption remains limited - AI is mostly used for isolated tasks. Skills gaps, weak engineering foundations, and security concerns are holding back real change and fueling excessive caution.
Elusive ROI
To unlock true value, AI must go beyond code. The key to meaningful transformation is applying it across the entire SDLC, improving engineering practices, and tracking measurable impact.
Business Value in Action
Accelerate, Modernize, & Scale with AI
Hi-Velocity Product & Platform Delivery
Boost delivery speed by up to 40%, go to market faster, reduce costs, and stay focused on results.
Up to 40%
Next-Gen Legacy System Modernization
Accelerate legacy transformation with 50–70% lower cost and time, minimal disruption, and seamless navigation through complex, poorly documented systems.
Up to 70%
Software Engineering Transformation
Achieve enterprise-scale efficiency with 30–50% faster delivery, reduced risk, and higher-quality software—enabling consistent, cost-effective performance across the organization.
Up to 50%
From idea to impact
Solution Overview
Our solution streamlines every phase of the SDLC with composable AI, measurable outcomes, and empowered engineering teams.
Discover Key Features
Whether you're building from scratch or modernizing legacy systems, Xebia meets you where you are. We turn raw ideas into deployable assets and bring clarity to legacy code, offering safe, incremental modernization without full rewrites.
Requirements Builder
Transforms raw, unstructured business inputs into structured, testable software requirements using contextual AI.
- Parses notes, diagrams, screenshots, and more
- Defines business context to focus AI output
- Refines output via iterative prompting
- Aligns analysis with ISO and compliance standards
- Automatically detects ambiguities, gaps, and inconsistencies
- Generates outputs with Gherkin, criteria, edge cases & value
- Ranks user stories using MoSCoW and RICE
- Recommends team setup and delivery timeline
- Cuts time-to-spec from days to minutes
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