From luxury e-commerce to health-tech and telecom, we work with founders and CTOs who need a technical partner, not extra hands. We take ownership of complex systems, evolve them without stopping the business, and add machine learning where it solves a real problem.
“They've always taken it to the next level and looked for unique ways to solve problems for us.”
“AI and ML experts who grasped the complexities of our unique requirements.”
“They've made our collaboration effortless and pleasant; we can't imagine working without them now.”
Most of our business partners come to us in one of four situations. Find yours, then see how we handled it for someone else.
You have a hypothesis and need a working product to test it with users or investors. We scope a lean first version, set KPIs and milestones at the start, and build it so it can grow into the real product instead of being thrown away.
Example: the ML core behind Spicerr's smart spice dispenser MVP. Read this case
The product works, but every release takes longer and the system struggles with new markets or traffic. We migrate in small steps alongside new features, so the business keeps running while the platform changes underneath.
Example: Italist, from a PHP monolith to Go microservices on Kubernetes. Read this case
You need people who take ownership, not just tickets. We join your team for the long run and, when needed, take over project and product management too.
Example: 12+ months extending 5x5 Technologies' digital twin platform. Read this case
You have data and a feature idea, but no ML team. We check feasibility first, then deliver models behind APIs your engineers can use, with versioned data and automated training.
Example: phy's posture assessment, included in their FDA application. Read this case
A luxury fashion marketplace moved from a PHP monolith to Go microservices without pausing sales. It serves 1,500+ brands in 180+ countries.
Read this case
Equipment detection, compliance checks and CAD/BIM outputs built on drone photos of telecom towers. Detection F1 rose from 0.72 to 0.86.
Read this case
A pipeline that turns a phone-generated 3D body scan into 20+ posture findings and a personalised exercise plan.
Read this case