Don't take our word for it. Use it.
We build two things: our own AI products, which you can open and use right now without talking to anyone, and software for clients, e-commerce stores, AI tools and the growth work that follows a launch. Below is both, plus concept builds that show how we approach a problem.
Reviewed by the NextiqumAI team · Updated 18 September 2026
What live AI can you try on this site?
This is the proof. Every agent below was designed and built end to end by us, and they are running on this site right now, not slides, not screenshots. Loquelle and Iris are the two we sell; Iris and Mark are free to try with no signup.
Loquelle
Iris
Mark
tiQ
Docs & VoiceShopify store for a home and interiors brand
We designed and built the store end to end, catalogue, theme, checkout and the operational side the owner runs it with. After launch we took the search work further than the brief asked, covering classic SEO and the newer question of whether AI answer engines can read and cite the site at all. Organic traffic started arriving in the months after launch, and the marketing resourcing that followed is now running through us.
What it shows
We do not hand over a store and disappear. The build, the search work and the people who run the marketing afterwards can all come from one place.
Stack
Loquelle, a live meeting copilot
A private assistant that listens to your call and shows questions, answers and talking points as the conversation happens. It never joins as a bot and nobody else can see it. It runs on the web, as a Chrome extension and as a Windows desktop app on one account, with a recap and action items written when the meeting ends.
What it shows
Real-time audio, streaming model output, three clients sharing one account, and a subscription product with its own billing and limits, built and operated by us.
Stack
Iris, an AI SEO and answer-engine auditor
Paste a URL and Iris scores the page for classic SEO and for whether an AI can parse, quote and attribute it. Then it does the part most tools skip: it asks a web-search AI the questions your customers really ask, and records whether your domain actually shows up in the answer, and which competitors appeared instead.
What it shows
Crawling at scale, deterministic scoring, and measured evidence rather than a predicted number. Free to try on any URL, no signup.
Stack
AI support assistant for a SaaS
A retrieval (RAG) chatbot trained on a company's help docs that answers customer questions 24/7 with citations, and hands off to a human when it cannot help. tiQ on this site is a working version of this pattern.
What it shows
Generative AI, retrieval, guardrails and human handoff, done safely and cheaply to run.
Stack
Invoice and document extractor
An automation that reads scanned invoices and documents, pulls out the important fields, and exports clean structured data, removing hours of manual entry. We have built this exact pipeline.
What it shows
Computer vision and OCR, data engineering and practical automation that saves real time.
Stack
Booking platform for a clinic chain
A mobile app where patients book appointments and pay in-app, with automatic reminders and a staff dashboard to manage jobs across locations. Built for a predictable weekly delivery rhythm.
What it shows
Mobile apps, payments, dashboards and real-world workflow, shipped as a usable product.
Stack
What is what, plainly. The entries marked our product are software we built and operate, and you can use them today. Client work is exactly that, described without naming the client because we do not publish a client's name without asking first. The ones marked concept build are demonstrations we built ourselves to show an approach, the scope, stack and decisions are real, the companies are not. We would rather label them honestly than borrow someone else's logo. Early clients get founding terms in exchange for a testimonial we can name.
What we take on
Five things, and we say no to the rest rather than learn on your budget.
- E-commerce: Shopify stores built, migrated or fixed, then the SEO, AEO and GEO work so people and AI engines can actually find them.
- Marketing: Meta, Instagram and TikTok ads, email flows and campaigns, ad creative cut from your footage, all tracked against a baseline and reported monthly. Ad budget stays on your own account. Details.
- Custom AI, assistants, retrieval over your own documents, extraction and automation, built to run cheaply and be maintained by you.
- Web, mobile and cloud, the ordinary engineering around those products: apps, dashboards, payments, infrastructure.
- People, a marketer or engineer working under our contract and our management, with monthly targets, reporting and cover, so you get the capacity without the hiring.
How we pick what to show
We show projects where the problem was hard and the result is measurable, rather than the ones that simply looked best. Each entry lists the actual stack, the reason a technical decision was made, and what changed afterwards.
- The problem in the client's own words, before any solution was proposed.
- What we built, including the parts that were rewritten after user testing.
- The result, measured against what the client cared about, not vanity metrics.
Common questions
Are these real client projects?
Some are. The entry marked client work is a real, live build; the client is not named because we ask permission before publishing anyone's name. Loquelle and Iris are our own products, in production and on sale. The ones marked concept build are demonstrations we built ourselves, real scope and stack, invented company. We label all three differently on purpose.
Do you build Shopify stores?
Yes, and the work after launch matters more than the build. A store nobody finds is a brochure, so we cover the SEO, the structured data that lets AI answer engines quote you, and the paid and organic social that brings the first buyers. You can take the build alone if you already have a marketing team.
Can you provide people rather than a project?
Yes. A marketer or engineer works under a NextiqumAI contract and a NextiqumAI manager, against targets you agree with us, with a written report each month. You deal with one point of contact, and if someone is unavailable the cover is our problem, not yours.
How long do these projects take?
Most sit between six and fourteen weeks from kickoff to launch. A focused AI assistant, a document extractor or a straightforward Shopify build lands at the short end. A platform with payments, scheduling and multi-location logic sits at the long end.
Will my project be shown here?
Only if you agree. Anything covered by an NDA or a white-label agreement stays private by default, and we ask in writing before publishing anything: including your name.