We build production AI, end to end.
From commerce intelligence and agent-ready MCP servers to brand tooling, we design, evaluate, and deliver production AI with the same discipline we bring to your team.
48x is an engineer-led AI studio.
We build production AI systems, help enterprises ship Claude to production, back the domain-expert founders building theirs, and put our own engineers on your team.
Build, consult, partner, or hire our team, every engagement runs on the same production discipline: evals first, guardrails always, live in weeks.
From commerce intelligence and agent-ready MCP servers to brand tooling, we design, evaluate, and deliver production AI with the same discipline we bring to your team.
Evals, guardrails, agentic systems, MCP integrations, and team enablement , delivered by engineers who build production Claude systems. You get a capability your team owns, not a slide deck.
We partner with domain-expert founders: you bring the domain, we bring production AI engineering and delivery.
Bring Claude engineers onto your team, as a dedicated hire, an embedded pod, or a fixed-scope package with a defined outcome. The people who scope the work are the ones who build it, and they've built production Claude systems. Capacity that starts in days, not a six-month hire.
The areas where we go deepest, with the products to show for it.
Co-purchase and merchandising intelligence that moves baskets, built to embed natively across commerce platforms, from Shopify to OroCommerce.
From medication-compliance intelligence in skilled nursing to monitored regulatory obligations, dense regulation turned into auditable answers a risk team can sign off on.
Surfacing the signal buried in your data and putting a defensible, traceable recommendation in front of the decision, while it can still change the outcome.
Most consultancies have never built the systems they're selling. We build them, then bring that discipline to your team.
We build production AI ourselves, so the process we run for you is the one we run for us, not a methodology we read about in a whitepaper.
Every system ships with evals, guardrails, and the unglamorous reliability work. We optimise for the demo that still works on Monday morning.
Commerce, compliance, decision-support; B2B and B2C; whatever's already in your stack. We integrate, we don't rip-and-replace.
No bench, no juniors learning on your budget. The people who scope it are the people who build it, with careers in ecommerce, procurement, and workflow systems.
A first production capability typically ships in under eight weeks, evaluation harness and guardrails included, not promised for phase two.
We build production systems, so the process we bring you is the one we run for ourselves, not a slide deck.
We build MCP servers, evals, and agentic tools in TypeScript, the same stack we take to production.
// 48x: an evaluated Claude tool, ready for production
import { Server } from "@modelcontextprotocol/sdk";
import { evaluate } from "./evals";
const server = new Server({ name: "assistant", version: "1.0.0" });
server.tool("answer", {
query: z.string(),
context: z.array(z.string()),
}, async ({ query, context }) => {
const draft = await claude.respond(query, context);
return evaluate(draft, { guardrails: true });
});
High-level by design. The detail lives in the conversation , these are the shapes our work tends to take.
A small group of engineers and builders with deep experience across commerce, compliance, and data, and across the roles it takes to ship. The people who scope the work are the people who build it.
Tell us what you're trying to ship. We'll tell you, honestly, whether we're the team to ship it, and how fast. Worst case, you get a sharper roadmap for free.
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