Romina

Client Snapshot

• Industry: PropTech / Real Estate Valuation
• Services: Product Discovery · UX Research · UX/UI Design · Full-Stack Development · AI/ML Integrations · Cloud/DevOps
• Focus: Automated property valuation, user-friendly appraisal flows, and production-grade delivery
• Team: 2 Full-Stack Developers · AI Architect & DevOps · 2 UX Designers

The Challenge

‍Building a valuation product is a trust and accuracy problem as much as it is a UX problem. Romina needed to:

• Convert complex valuation logic into a simple user flow users can complete quickly and confidently.
• Integrate ML/AI valuation outputs into a product experience that feels explainable and credible (not a black box).
• Ensure the platform is scalable and maintainable, so it can support increasing volume and future model improvements without rebuilding core systems.

What Axented Did (Approach & Delivery)

‍We treated Romina as a data-driven product where UX clarity and model credibility must work together.

• Product Discovery & UX Research: mapped user needs and objections, defined the valuation journey, and translated requirements into prioritized flows.
• Prototyping & UX/UI Design: designed end-to-end experiences across onboarding, property capture, valuation delivery, and report/next-step interactions—creating a consistent design system and high-fidelity UI for build-ready handoff.
• Full-Stack Platform Delivery: built the app and platform end-to-end with scalable architecture patterns and a release-ready foundation.
• AI/ML Integrations: integrated ML/AI-based valuation components into product workflows—ensuring inputs, outputs, and user-facing results were structured and reliable.
• Cloud/DevOps: established production-grade infrastructure and deployment practices to support scaling and iteration.

Solutions Implemented

• User valuation workflow: streamlined property data capture and guided users through valuation steps with minimal friction.
• AI/ML-driven valuation engine integration: connected model outputs to product surfaces so users receive results in a clear, actionable format.
• Trust-forward UX: structured information presentation to improve comprehension and confidence in valuation results.
• Scalable foundation: built for ongoing improvements (model iteration, new data sources, expanded reporting) without replatforming.

Results

• AI-enabled valuation experience delivered: launched a user-friendly platform that turns property inputs into valuation outputs through ML/AI integrations.
• Improved usability and trust: a clean, structured UX that makes a complex process feel simple and credible.
• Built for iteration: architecture and DevOps foundation ready for ongoing model improvements and scale.

Team & Delivery Model

• Full-Stack Developers: End-to-end platform development (frontend + backend), API integration, data modeling, and production hardening.
• AI Architect & DevOps: AI/ML integration strategy, infrastructure design, deployment pipelines, monitoring/observability, and scalability planning.
• UX/UI Designers: User research synthesis, end-to-end flows, wireframes and high-fidelity UI, design system/components, prototyping, and developer handoff.
• Operating model: Agile, milestone-driven delivery with iterative releases and tight stakeholder collaboration to align UX, engineering, and AI outputs.

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