UI/UX design and prototyping
Designs and clickable prototypes you and your users can react to before we build.
Vectrel's Full-Stack Web & SaaS service builds marketing sites, internal tools, web apps, and multi-tenant products. We pick the stack, hosting, security, and integrations to fit what you are building. When AI is part of it, the product and the AI are designed as one system.
Overview
Not every project needs AI. Full-Stack Web & SaaS covers marketing sites, internal tools, web applications, and SaaS products. We scope the work around your product goals, your users, the integrations, and your security needs. When AI belongs in the product, we plan the application and the AI together rather than bolting one onto the other.
Designs and clickable prototypes you and your users can react to before we build.
A fast, accessible React and Next.js frontend built to your requirements.
A backend with the validation, permissions, and error handling the product needs.
A database designed around how your product actually queries and stores data.
Sign-in and permissions set up for your roles and your risk level.
Hosting, automated releases, and rollback, set up so shipping is routine.
We find the slow parts and fix them against a target you can measure.
Illustrative use cases
Illustrative example: build a patient-intake portal with role-based workflows and a tested pre-classification step where the use case allows it.
Illustrative example: build a multi-tenant analytics dashboard with clear access controls, defined data-refresh rules, and product-specific workflows.
Teams that need a website, internal tool, or SaaS product built to a professional standard.
Technologies
FAQ
01
It can include UI and UX design, frontend development, backend APIs, database design, authentication, deployment, and release automation. The proposal says which of these are in scope, plus the quality, accessibility, and monitoring you need, the environments, and the handover, so nothing is assumed.
02
It suits teams building a marketing site with real conversion goals, a new SaaS product, or an internal operations tool. It also fits teams that want product and AI requirements considered together, with each part checked against the users, the data, and the constraints.
03
It depends on scope, how ready the design is, the integrations, any data migration, and the security and accessibility bar. The proposal sets out the milestones, what we need from you, the acceptance steps, and the timeline once those are clear. New requirements go through an agreed change process.
04
No. A full-stack build can be entirely conventional. If AI looks like a fit, we scope its role, its data boundaries, and the checks around it on purpose instead of assuming them. The plan then shows how the product and the AI relate.
05
Common choices are React, Next.js, TypeScript, Node.js, PostgreSQL, Vercel, AWS, Microsoft Azure, and Google Cloud. The final stack, hosting, authentication, monitoring, and release pipeline are chosen to fit the product and the constraints we agree on.
Every project starts with a conversation. Tell us what you are working on and we will take it from there.