SaaS products, business applications and predictive models, built end-to-end.
When off-the-shelf tools do not fit, we build the complete product: interface, backend, AI layer, authentication, payments and infrastructure. We work from MVP to production, with weekly demos and code you fully own.
Our platforms include AI-native SaaS, internal business applications, computer vision and predictive models, and generative image and video pipelines for brands.
Typical timeline: 8–16 weeks
01
We define users, core workflows and the success metric, and cut the scope to what must ship first.
02
We choose the stack, data model, AI components and hosting, with security and scalability designed in.
03
Short iterations with a working version every week, tests and monitoring included from the first release.
04
We launch with your first users, document everything and either hand over to your team or keep running the platform.
From MVP to V2: authentication, payments, multi-tenant architecture and AI features your users pay for.
Internal platforms and dashboards that replace spreadsheets: fleet, operations, compliance.
Price estimation, scoring and classification from images and historical data.
Image and video production pipelines for brands, with automated editing.
Collector AI · OptiDrive
Art & collections · Logistics
Artwork price estimation from visual features and auction history, validated by experts; complete fleet management platform for light and heavy vehicles.
We deploy on your own cloud account or on your servers when data must not leave your infrastructure.
For sensitive data we run open-weight models in your environment instead of calling an external API.
Each user only reaches the documents and tools they are allowed to see, and every action is logged.
Your data is never used to train public models. GDPR and UAE data-protection requirements are designed in from the start.
Yes. Code, data, prompts and accounts belong to you. We work in your repositories and cloud accounts so there is no lock-in.
Yes, when your data allows it. For example, we built an artwork price estimation model that combines visual features, historical sales and market trends, validated by experts.
Yes. We start with a technical audit of the code, infrastructure and AI components, then propose what to keep, fix or rebuild.
We measure cost per request from the first version, pick the smallest model that meets the quality bar, cache what can be cached and set alerts on usage.