挑战
Pet owners lacked accessible, preventive diagnostics — most veterinary visits caught disease only after symptoms appeared, and existing lab platforms were built for clinicians, not consumers.
Frontend · Healthcare
面向猫狗的个性化健康平台——75+生物标志物检测、兽医一对一解读及终身健康监测,通过可信兽医网络交付。
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Pet owners lacked accessible, preventive diagnostics — most veterinary visits caught disease only after symptoms appeared, and existing lab platforms were built for clinicians, not consumers.
Designed a consumer-first diagnostics flow: subscription onboarding, sample-kit logistics, 75+ biomarker results visualised in plain language, and 1:1 vet consultation booking integrated with the partner network. Built on Next.js with a typed Node.js API and Stripe-billed subscription tiers.
What we delivered
This engagement combined several of ConfiaTech's core capabilities. Each contributed a specific outcome to the final product.
Next.js、React、Angular、Astro、WordPress。像素级精准、瞬间加载的界面。
Node.js、Python、Django、FastAPI、.NET。为规模化与可观测性打造的 API 与服务。
基于研究的设计系统。
自动化测试套件、回归覆盖与手动 QA 周期,让发布在每个浏览器与设备上都保持稳定。
流水线、容器编排与基础设施即代码,让每次提交都能安全上线,并内建可观测性。
How we delivered it
Every case study on this site follows the same delivery spine — the four-phase process we have refined across many production engagements.
Stakeholder interviews, technical audit, success metrics, phased roadmap.
User research, design systems, interactive prototypes approved before code.
Two-week sprints, weekly demos, automated testing, continuous deployment.
Production rollout, observability, incident response, feature evolution.
Every contributor on the engagement had at least five years of production experience. No learning on the client dime.
Outcomes — not deliverables — drive the roadmap. Weekly demos report progress against the metric, not against the backlog.
Production observability, incident playbooks, and handoff documentation ship with every release.
The same engineers who built the product support and evolve it. Institutional knowledge stays inside the engagement.
Walk us through your problem. Within one business day a expert engineer will recommend the engagement model, team composition, and timeline that maps closest to this case study.
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