How solutions can be put together
These are examples of architecture and scope, not results published by clients. Custom development examples say how long they take; AI and data work is scoped once discovery has shown what your data allows. Your price comes in the free estimate.
Custom development
A customer portal for a freight forwarder
bookings and tracking without a phone call
Customers book shipments, track them and download their documents themselves, from the data the ERP already holds.
How longDiscovery + 4 months
The timeline depends on
the ERP's API, the number of booking rules and the roles customers need
A loyalty app for a retail chain
the loyalty card in every customer's phone
Customers carry their card in the app, see their points and personal offers, and get a receipt after every purchase.
How longDiscovery + 3 months
The timeline depends on
the till system's API, the loyalty rules and the app store reviews
A financial product ahead of an investment round
a tightly scoped first release
A first release with two core user flows, payments and basic analytics.
How longDiscovery + 2 months
The timeline depends on
the first-release scope, payment requirements, integrations and security checks
Continuous development for a B2B SaaS
features released every week
We take over the roadmap beside the in-house team, and ship features every week, each one reviewed and tested.
How long6 months
The timeline depends on
the size and state of the codebase, its tests and the length of the roadmap
AI and data
Document processing for a logistics operator
documents checked before they reach the ERP
Waybills and invoices arriving by email and from scanners are read, checked and loaded into the ERP.
The timeline depends on
the number and variety of forms, the quality of the scans, and what the ERP allows
Support assistant for an online store
answers drawn only from approved store content
The assistant answers from the store's approved policies and checks order status. Conversations it cannot resolve go to a person.
The timeline depends on
the state of the knowledge base, the number of integrations and the rules for verifying customers
Quality inspection at a packaging plant
every unit inspected on the line
Cameras above the conveyor check every unit and signal the line to reject the faulty ones.
The timeline depends on
the defect types, line speed, installation windows and how many samples exist
Demand forecasting for a retail chain
a forecast for each product in each store
Every week, each store gets a forecast per product that allows for promotions, holidays and the season.
The timeline depends on
how complete the history is, the number of products and stores, and the ordering system
Churn prediction for a subscription service
a ranked list for the retention team
Each week the CRM receives a list of customers likely to cancel, with the likely reason.
The timeline depends on
the length of the history, how churn is defined, access to the data and the CRM integration
Knowledge search at a law firm
answers linked to their source documents
Lawyers search contracts and opinions in plain language and get answers that point to the exact document and clause.
The timeline depends on
the size and condition of the archive, the access rules and the hosting requirements
Video analytics at a warehouse complex
each event with a frame, a time and a camera
The cameras already in place watch for safety violations and record each event for review.
The timeline depends on
the number of cameras, the quality of the streams, the event types and the site rules
Discuss your task
We start with what you want to build, what you already have and your constraints. After the call, we study the materials and come back with an estimate in writing: the plan, the team and the price.