Free AI Scan3 MIN READ · December 28, 2025
Our first overseas office and the first dedicated home for our Southeast Asia engineering and customer practice. Why Singapore, who is on the starting team, and what is already in pipeline.
Mandelbulb Technologies is opening its Singapore office, effective this quarter. It is our first overseas office and the first dedicated home for our Southeast Asia engineering and customer practice.
Why Singapore
Three reasons, in order.
Our customers are already here. Peak Energy Asia's Renewables Control Tower deployment, the Eximpedia trade-intelligence platform, and a pipeline of public-sector and large-enterprise opportunities across Southeast Asia have made Singapore the centre of gravity for the international half of our work. Running it from Jaipur was viable. Running it from Singapore is correct.
The region rewards the kind of work we do. Southeast Asia's enterprises tend to be data-mature, hyperscaler-adjacent, and willing to commit to production AI rather than indefinite pilots. The procurement cycles are shorter, the sovereignty conversations are sharper, and the rewards for being in the room go to the teams who show up in person.
Singapore is the right base for the Indo-Pacific public-sector AI story. Our GovTech work in India — the GST AI Tax Officer, the India AI Impact Summit — is increasingly being asked about by adjacent governments in the region. The Singapore office is the platform from which we have those conversations.
The starting team
The starting team is engineering-led: four senior Fabric and AI engineers, two solution architects, and one delivery lead. We will hire a Domain Partner-in-Residence for renewables and one for the public sector in the next two quarters.
What's already in pipeline
Three engagements are live or in late-stage discussion from the Singapore office today:
An expansion of the Peak Energy Asia Renewables Control Tower into two additional pipeline-prioritization workflows.
A Southeast Asian state-level GovTech deployment of a workflow agent adapted from the GST AI Tax Officer pattern.
A Fabric Real-Time Intelligence build for a regional retailer, modeled on the architecture we shipped at Swiggy.
We expect each of these to be publishable as a case study inside the next twelve months.
This is not a press-release expansion. It is the engineering team going to where the work is.