Fast, secure web apps that earn their keep.

Next.js + TypeScript on the frontend, Node or Python on the backend, Postgres for persistence. We diverge when a project has a real reason to.

Yes — we do takeover audits and stabilisation work routinely. Step one is reading the code; step two is shipping the smallest valuable change to prove we understand it.

Sanity, Contentful, Payload, Strapi, or a custom admin in Next.js. We pick based on editor workflow and content shape.

You can expect a working v1 in six weeks from kickoff for most AI-native web apps — a streaming copilot, a RAG-powered dashboard, or a multimodal upload flow. Week 1 is scope plus eval set, weeks 2–4 are build with twice-weekly demos, week 5 is hardening and security review, and week 6 is launch on real traffic. Marketing sites with a headless CMS ship in three to four weeks. Multi-tenant SaaS with billing, auth, and audit logs usually lands at eight to twelve weeks. If we miss the timeline on our side, the overrun cost is on us — not yours.

You stream every response, render optimistic UI on the way out, and design clean fallbacks for when the model is wrong or hangs. Our default pattern: Next.js server components for the shell, Edge Functions for the streaming endpoint, and prompt-cached calls (60-90% latency reduction on cached portions) into [our voice-agent stack](/llm-development-company) or RAG layer. Median TTFB sits under 150ms on edge-rendered pages, and the first LLM token typically arrives in 200-400ms. The user never stares at a spinner — they see partial output the instant the model produces it.

Yes — that is the baseline we ship on marketing sites, not a stretch goal. We default to Next.js 15 with App Router, edge rendering, image optimisation via next/image, prefetching on hover, and structured data wired in from day one. Lighthouse runs in CI on every pull request and a regression blocks the merge. Core Web Vitals stay green in production because we instrument them via Real User Monitoring (Vercel Speed Insights or Datadog RUM) and alert on p75 drift — not just on the initial launch score.

Yes. Most AI web work we ship is grafted onto an existing codebase, not greenfield. We audit the current routing, data layer, and auth model first, then wire AI features in as bounded endpoints with their own eval harness and observability — so a regression in the AI surface cannot take down the rest of the product. Common patterns: streaming chat into an existing dashboard, semantic search over your customer data, or [a RAG copilot](/rag-development-services) inside an existing admin tool. The host architecture is preserved.

Yes — both are scope-line items in week one, not retrofits. WCAG 2.1 AA conformance is the baseline (semantic HTML, keyboard navigation, ARIA where it earns its keep, contrast tested in CI via axe-core). SEO covers technical (rendering strategy, indexation, structured data, sitemap, robots), on-page (heading hierarchy, internal linking, metadata), and performance (Core Web Vitals as a CI gate). We ship sites that pass an SEO audit on day one because the audit findings were already addressed during the build.

Marketing sites with a headless CMS typically land between $15,000 and $40,000 fixed-price. SaaS product builds with multi-tenant auth, billing, and a design system run $60,000 to $180,000 for a v1. AI-native web apps with streaming UI and a RAG or agent backend land $40,000 to $120,000. Internal tools and admin dashboards are usually $20,000 to $60,000. Every scope is a written one-pager — fixed price, acceptance criteria, six-week target. No timesheets, no scope-creep invoices.