AI Services That Support Your Data Journey

We begin with a brief discovery conversation to understand your current capabilities, data infrastructure, and specific objectives. This helps us recommend whether you would benefit more from foundational work like data labelling strategy, customer insight development through segmentation, or operational infrastructure through MLOps setup. The choice depends on where you are in your AI maturity journey and what you're trying to achieve.

Engagements typically involve weekly working sessions with your team, alongside dedicated time for our team to develop frameworks, documentation, or technical implementations. We provide regular progress updates and adjust our approach based on what we learn during the project. The final deliverables include both the technical outputs (models, infrastructure, processes) and documentation that allows your team to maintain and extend the work independently.

The required internal expertise varies by service. Data labelling strategy can be implemented with business analysts or operations teams. Customer segmentation typically requires some data analytics capability but not necessarily machine learning expertise. MLOps foundation assumes you have a data science or engineering team that needs better operational infrastructure. We adapt our working methods to your team's current capabilities.

We work within your existing security infrastructure and follow your data handling protocols. For most projects, we can work with anonymised or sample datasets during development. When access to sensitive data is necessary, we sign appropriate confidentiality agreements and comply with Singapore's Personal Data Protection Act requirements. Our team members are experienced in working with regulated industries and understand data sensitivity considerations.

Our engagements are designed to leave your team with the knowledge and tools to continue independently. We provide comprehensive documentation and, where relevant, training sessions. Many clients return for additional support as their needs evolve — perhaps moving from data labelling to model development, or from initial MLOps setup to more advanced automation. We're comfortable with both standalone projects and longer-term relationships.

Projects are invoiced in phases aligned with key milestones. Typically this involves an initial payment upon project commencement, milestone payments during the engagement, and final payment upon delivery of all agreed outputs. We provide detailed project scopes that outline deliverables, timelines, and payment schedules before work begins. All pricing is in Singapore Dollars and excludes GST where applicable.