Romina

Client Snapshot

• Industry: PropTech / Real Estate Valuation
• Client: Romina — Mexican PropTech platform for AI/ML-powered property valuations
• Services: Product Discovery · UX Research · UX/UI Design · Full-Stack Development · AI/ML Integrations · Cloud/DevOps
• Team: 2 Full-Stack Developers · AI Architect & DevOps · 2 UX Designers
• Stack: Full-Stack Web · ML/AI integrations · AWS
• Platforms delivered: Web + Mobile

The Problem

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 that 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.

The Solution

Axented 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 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.

Results

• AI-enabled valuation platform delivered: launched a user-friendly platform that turns property inputs into valuation outputs through ML/AI integrations.
• Full product delivered end-to-end: from UX research to production — web + mobile surfaces built and launched.
• 5-person specialized team: 2 Full-Stack Developers + AI Architect + DevOps + 2 UX Designers — all working in parallel to compress delivery timelines.
• Improved usability and trust: a clean, structured UX that makes a complex valuation process feel simple and credible to end users.
• Built for iteration: architecture and DevOps foundation ready for ongoing model improvements, new data sources, and scale — no replatforming needed.

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KPIs

2 platforms — Web + Mobile delivered end-to-end, from UX research to production

5-person team — Full-Stack ×2 + AI Architect + DevOps + UX/UI ×2 working in parallel

AI-powered — ML/AI valuation engine integrated into user-facing product flows

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Tech Stack

• Frontend — Web + Mobile
• Backend — Full-Stack (scalable architecture)
• AI/ML — ML/AI valuation engine integrations
• Cloud — AWS
• DevOps — CI/CD pipelines, monitoring, production infrastructure

Team & Delivery Model

• Full-Stack Developers (x2): End-to-end platform development, 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 (x2): 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.