Bold bets.
One mission.
Every Supalab product starts with one question: is there an expert being left behind? Supaforce runs a company's go-to-market, Sense catches fraud, and Phonelyne powers connectivity. Each one gives that expert a superpower, and gives everyone else access to what only experts could do before.
Supaforce
ActiveThe expert. The marketing director who knows GTM but cannot orchestrate AI agents to execute it. Gets a team that operates at superhuman scale.
The non-expert. The founder with zero marketing experience who needs the output of a full GTM team but cannot afford or manage one. Gets that same capability.
Sense
ActiveThe expert. The compliance officer who understands fraud patterns intimately but cannot build a multimodal detection system. Gets infrastructure matching their intuition.
The non-expert. The fintech CTO who does not understand compliance but needs robust fraud prevention. Gets protection they could not specify.
Phonelyne
BuildingThe expert. The telecom specialist trapped in legacy infrastructure who needs an intelligent platform for modern embedded connectivity.
The non-expert. The brand operator who wants to offer eSIMs or connect payment terminals but has no idea how telecom works. Gets it without learning.
Design Studio
ExploringThe expert. The professional designer who has the eye and the taste but needs AI to produce exceptional work at ten times the speed.
The non-expert. The founder who cannot design but needs professional-grade brand, interior or visual output. Gets access to what only designers could produce.
Three pillars. One thesis.
The expert becomes superhuman. The non-expert becomes capable. Every bet serves both.
Build
We create AI-powered products that give experts superpowers and give non-experts access to what only experts could do. Every product runs on shared Supalab services: billing, AI, platform scaffolding and the Supaforce engine.
Invest
We back external founders building for the same thesis. When someone is creating AI infrastructure for non-technical domain experts in a vertical we are not in, we invest. The portfolio expands the mission beyond what we can build alone.
Research
We build our own models. As our products generate domain-specific data, we develop purpose-built models optimised for the verticals we serve. Nobody else will have this data, because nobody else is running these products at this intersection.
Building for the same thesis?
If you are creating AI infrastructure for domain experts, or you want to invest in the mission, we would like to talk.