AI Platform Engineering
AI inside the marketplace you already run, for sellers and buyers alike.
We engineer AI into the marketplace you already run: seller onboarding that reads documents and checks identity, listings that arrive categorised and clean, search that matches buyers with the right sellers, and trust and safety work that brings a person the evidence before they decide.
Each feature is wired into the listing, payment and trust systems you already run, and every release is tested against your own cases before a buyer or a seller sees it.
a pet-friendly two-bedroom flat near the metro, with a balcony
Two-bedroom flat with balcony
Pets allowed by the landlord
Garden-side two-bedroom
A short walk to the metro
Top-floor flat with skylight
Verified landlord
Two-bedroom, ready to move in
Viewings this week
A renter's sentence becomes a ranked shortlist of verified listings, weighed against availability, location and your marketplace rules.
Answers from listings, seller policies and order history, and hands over to your support team when it should.
Flagged: two photos match another seller's listing. Category, size and material filled from the seller's notes.
New listings are categorised, checked and drafted into your format, and the ones that need a look wait for your team.
Matching, moderation and risk changes are checked against your own cases before buyers and sellers see them, and the last good release is one step back.
The pieces we build most often for multi-vendor marketplaces, property platforms and talent platforms. Each one connects to your listings, accounts, payments and support tools, and each one is judged on your own data.
Identity documents, business registrations and bank details read and checked as sellers, landlords or freelancers sign up, with clear cases moving straight through and unclear ones sent to a person with the reason shown.
Every new listing placed in the right category, with sizes, materials, colours and amenities pulled into consistent attributes from free-text titles, descriptions and photos, so filters and search work across every seller.
Near-identical listings, reused photos and suspicious copies of branded goods caught by comparing text and images across sellers, with each match shown side by side to the person who decides.
Buyers, renters and clients describe what they want in their own words. Semantic search and ranking match them with listings, homes or freelancers, weighing availability, location, ratings and the rules you set.
Listings, messages, reviews and profile photos checked against your policies before they go live, with prohibited items, contact-sharing and abuse flagged, and borderline cases queued for your trust and safety team.
Signals across accounts, listings, payments and messages that flag fake sellers, account takeovers and payment fraud, with the reasons laid out so a person can act on them, not just a score.
Suggested prices for sellers, rents for landlords and rates for freelancers, drawn from comparable listings and demand, plus fee and promotion options your marketplace team reviews before they go live.
When an order, tenancy or project goes wrong, the dispute is classified, the messages, photos, tracking and payment records are gathered into one case, and a person makes the decision.
Conversational assistants that answer buyers from listings and policies, help sellers write listings and understand fees, and hand over to your support team on the topics you choose.
Agentic commerce
Buyers are starting to search, compare and check out through assistants that act for them, and those agents shop across marketplaces as readily as single stores. The Agentic Commerce Protocol from OpenAI and Stripe launched with Etsy sellers, and Etsy is among the first partners of Google's Universal Commerce Protocol.
We make a marketplace readable and buyable by those agents: structured listings with clean attributes, verified sellers an agent can trust, an MCP server over search, cart and orders, and the rules that decide what an agent may do on a buyer's behalf.
AI-powered marketplace development usually starts with one feature on one side of the market. We build it inside your stack, prove it on your data and hand it to your team.
A short readiness sprint in your listings, seller records and trust and safety data to choose the first feature and agree how it will be judged.
Engineers work in your repositories and your cloud, wiring the feature into the listing, search, payment and support systems you already run.
We test on your own cases before launch, then release to a share of sellers or buyers and watch the measures you chose, with a rollback ready.
Runbooks, review queues, dashboards and a trained team. You own the code, the prompts and the evaluation set; we can stay on to run it if you want.
Tell us the platform you run, who buys and sells on it and the feature you have in mind, and we will come back with a first view of how we would build it.