Laravel for fintech, money moves correctly the first time.

A Laravel web application is a server rendered or hybrid web app built using the Laravel PHP framework. It can serve interactive dashboards, multi tenant SaaS products, customer portals, internal business systems, marketplace platforms, or anything that needs structured server side logic with a polished user interface. Laravel handles routing, database access, authentication, queues, real time events, and testing out of the box, so engineering teams ship faster than writing raw PHP and end up with code that is much easier to maintain over the years.

A focused MVP usually ships in 6 to 10 weeks with two engineers. A mid sized business application with several modules, third party integrations, and a polished admin lands in 3 to 5 months. Enterprise web platforms with multi tenancy, compliance work, and heavy custom logic typically run 6 to 12 months. The timeline depends on feature scope, decision speed, and how complete the specification is on day one. We share a week by week estimate after the discovery call.

Almost any server backed web product. The common types we ship are multi tenant SaaS platforms, internal business systems, customer portals, marketplace and listing platforms, content management systems, fintech and payment backends, learning platforms, healthcare and telehealth tools, real time dashboards, and APIs that power mobile apps. Laravel scales from a single founder MVP all the way to enterprise grade systems running across multiple servers.

Yes. Laravel is used in production by FedEx, Disney Hotstar, BBC, Razorpay, and Pfizer, all of which run very large web applications. For scale, we use queue workers with Horizon, Redis caching, read replicas, horizontal scaling on Forge or Vapor, and asynchronous job processing. We have shipped Laravel platforms serving 40,000 plus concurrent users and 80,000 plus loan applications per month on a single architecture.

Absolutely. Laravel ships with native real time support through Reverb (the official WebSocket server), broadcasting events through Pusher or Ably, and Livewire 3 for reactive UI without a separate SPA. Common real time features we build include live notifications, collaborative dashboards, chat, live order tracking, and presence indicators. For deeper real time work we pair Laravel with Livewire and Alpine.js. More on our Livewire development page.

A focused Laravel web app MVP starts around $12,000 to $20,000. Most mid sized business apps land between $30,000 and $90,000. Enterprise platforms with multi tenancy, compliance, and integrations typically run $80,000 to $250,000. Dedicated Laravel developers at Acquaint Softtech start at $22 per hour or $3,200 per month full time. A full breakdown sits on our Laravel development cost page.

Scaling Laravel is well understood. We profile bottlenecks with Telescope and Pulse, move heavy work to queues processed by Horizon, cache aggressively with Redis, introduce read replicas for the database, and horizontally scale the application layer through Forge or Vapor. For very large workloads we add CDN caching, edge functions, and asynchronous event driven flows. We have taken Laravel applications from a 12 second cold start to sub second response times in three sprints.

A website is mostly informational with limited interactivity. A web application has logged in users, data that persists, business logic, and workflows. Both can be built with Laravel, but a web application uses Laravel's full strength (authentication, authorisation, database modelling, queues, events, real time, testing) while a website often runs on a much lighter setup. If you log in, perform actions, and the system remembers state, you are looking at a web application.

Both. Roughly 60 percent of our Laravel work is greenfield, where we take a fresh idea or specification and ship the first production version. The other 40 percent is replatform work, where we modernise legacy PHP or migrate from CodeIgniter, WordPress, or older Laravel versions. For replatform projects we maintain feature parity, run shadow testing, and cut over with zero data loss. More on our migration services page.