Services
Services
Four ways to work with us. Every scope is fixed before work starts, priced clearly, and built to run in production rather than just in a browser tab.
AI Product Development
From problem to live product in weeks.
Weight
Full Build
Timeline
4 – 8 weeks
We design and build production-ready AI products from the ground up. Not MVPs that need six months of cleanup before they can be shown to users. Actual products with clean architecture, real data models, and AI built into the core logic. You bring the problem and the domain. We own everything from product design through to deployment.
Use cases
- AI-powered SaaS products for SEA markets
- Conversational and agentic AI applications
- Mobile and web platforms with AI at the core
- Data pipelines, LLM integrations, and model-in-the-loop workflows
Prototype to Production
You built something with AI. We make it real.
Weight
Cleanup & Harden
Timeline
2 – 4 weeks
Tools like Lovable, v0, and Replit get you to a working demo fast. What they leave behind is a codebase that breaks under real users: missing auth, brittle data models, no deployment pipeline, no error handling. We take what you have built and turn it into something production-grade with clean architecture, secure authentication, structured databases, proper CI/CD, and code your team can actually maintain and iterate on.
Use cases
- Lovable, v0, Replit, Glide, and other AI-built prototypes
- Security hardening and vulnerability patching
- Database restructuring and performance optimisation
- CI/CD setup, deployment infrastructure, and environment management
Technical Co-founder
Deep partnership. Equity-aligned.
Weight
Equity Partnership
Timeline
Long-term
For founders who need more than a contractor, we embed as a technical co-founding partner on a small number of ventures each year. We own engineering decisions, shape product architecture, help build the initial team, and stay accountable to outcomes rather than deliverables. Engagement is equity-based, not hourly. We only take this track when we genuinely believe in the business.
Use cases
- Pre-seed and seed-stage AI startups
- Founders with strong domain expertise and no technical lead
- Ventures targeting SEA or emerging markets
- Products where AI is a first-order part of the value proposition
Enterprise AI Integration
AI embedded in your operations, not bolted on.
Weight
Integration
Timeline
3 – 6 weeks
Most enterprise AI projects fail because the integration is treated as a feature rather than a workflow redesign. We start by identifying where AI creates real leverage inside your business, then build integrations that fit your actual stack and how your teams work. Document processing, customer-facing AI, internal knowledge tools, and pipeline automation. No generic plugins. Custom-built, maintained, and designed to actually get used.
Use cases
- Document and invoice processing automation
- Internal knowledge bases and AI assistants for operations teams
- CRM, ERP, and legacy system integrations
- Custom LLM pipelines, RAG architectures, and agentic workflows
Not sure where to start?