Projects
What we have built
For every project: what came before, what we built and how it ended.
All projects: 10 projects shown
AI · Insurance
Klarim
Reads the scanned pack behind an insurance claim: finds the fields in certificates, photos and statements and moves them into the claims system.
Web · Logistics
Reista
A client portal for a haulier: consignment status, route and paperwork for every delivery, with no call to the dispatch desk. The portal was the smaller half of the job — before it, no system held a status at all: it lived in drivers’ messages and in a dispatcher’s memory.
Mobile · Medtech
Anamna
A patient app for a clinic: appointments, test results and reminders on one screen. The work underneath that screen was proving a patient is the person the record belongs to, and deciding what a notification is allowed to say.
MVP · Fintech
Splitta
Instalments for online stores: buyer checks, a payment schedule and refunds — on real payments from day one.
Internal system · Manufacturing
Naryado
A furniture plant where order, schedule and shipment travel under one number, and five systems already in place exchange data through the loop instead of spreadsheets.
AI · Logistics
Vezira
A haulage company with a mixed fleet: the assistant reads a dispatcher’s request, gathers data from the CRM, the TMS and the telematics, and does only what is permitted.
AI · E-commerce
Onvela
A cosmetics retailer whose first line of support is an AI bot. It does not recite the FAQ: it finds the order, checks delivery and payment, and answers from data.
Internal system · Fintech
Tallim
Matching payments to invoices inside a payments company’s finance team: strict rules, similarity and a model each take their turn, and a person confirms what stays unclear.
AI · Construction
Prokta
Tender documents read for a general contractor’s commercial department: an archive of files goes in, a report of terms comes out, every line of it with a page reference.
Internal system · Restaurants
Ostera
A chain of 64 restaurants: figures from five systems in one layer, where a question about yesterday’s profit is asked in plain words and answered with the data behind it.
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