One team, one contract, the whole product. The frontend and backend combinations we build together most often, and why each pairing works.
The stacks we reach for most, and the kind of product each one fits.
One language across the stack, the largest hiring pool, and a deep component ecosystem. Our default for product teams that will hire in-house later.
TypeScript end to end with the enforced structure Angular brings. Our pick for multi-module enterprise SaaS where a large team needs consistency.
A strongly typed backend for complex business logic, with an Angular frontend that matches its discipline. We built E2P+SEND this way.
Laravel and Vue over Inertia.js: one repo, one deploy, one team owning the whole product. Fast to ship for content-heavy web apps.
NestJS brings Angular-style structure to a Node backend, paired with a React frontend. Good for larger teams that still want React on top.
Server-rendered React with a Postgres backend, often on Supabase. Fast to ship for public, SEO-sensitive products with real data behind them.
One team owns the frontend, the backend, the database, and the deploy pipeline under a single fixed-price contract. No integration finger-pointing.
From data model to deployed product. One team, one architecture, one roadmap, fortnightly demos of working software.
The smallest production version that tests your idea, on architecture that will not need replacing at your first hundred customers.
Replacing a stalled or ageing product end to end, behind a stable interface, phased so the business keeps running.
A self-contained team of lead, engineers, design, and QA that owns your product or workstream on a predictable monthly rate.
Skip the full build. Get a vetted full-stack developer or a whole pod embedded in your team, owning features end to end, while we handle employment and payroll.
When one team owns frontend, backend, and data, AI features land cleanly: the retrieval layer, the gateway, and the streaming UI are all designed together. It is how Tully AI and Mebag were built.
The vector store, the model gateway, and the assistant UI planned as one piece of work.
pgvector next to your relational data, so retrieval stays consistent with no separate store to sync.
Prompt versioning, evals, scoped access, and human-in-the-loop where the stakes need it.
Shipped with prompt versioning, evals, and guardrails. See how we build AI →
Straight answers on stack choice, working in your codebase, cost, and how we start.
One team owns the frontend, the backend, the database, and the deploy pipeline under a single fixed-price contract. The engineer who scopes your project ships it. There is no handoff between a frontend vendor and a backend vendor.
Yes. We place vetted full-stack developers, or a whole pod, who embed in your workflow and own features end to end while we handle employment and payroll.
It depends on your team and product. Node.js with React is our default for product teams. .NET with Angular for complex enterprise logic. Laravel with Vue for content-heavy web apps. We recommend one in the proposal, with the reasoning.
Yes. We are a lean team by design. The people who scope and architect your project are the ones who build and deploy it.
We work fixed-price, not hourly. A focused MVP is a different figure from a multi-integration platform. See our pricing page, or book a call for a real number.
A 30-minute scoping call, then a fixed-price, fixed-timeline proposal within 48 hours, then architecture and design, then fortnightly build sprints.
A 30-minute call, then a fixed-price, fixed-timeline proposal within 48 hours, with a recommended stack and the reasoning behind it.