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Key takeaway: the data the labs can’t reach is our moat.
How we turn data we’ll never sell into a business that scales. We own every layer of the stack, from hardware inside the client’s building to data, agents, software, people and robots. We rent only the model, and SuperLarge routes each task to the least-cost one. The stack goes deep in telcos, banks, healthcare, consumer electronics, and travel and hospitality. It also runs across front, middle and back office and IT, so what we learn in one industry makes the next one better.
Key takeaway: one stack, one accountable owner, every layer adding margin.
How our AI agents turn that data into outcomes. Superheroes are 40+ ready-made agents across nine business functions. Each business configures them for its own language, tone, policies and systems, and they work in squads with a human in charge. They’re measured in revenue earned, cost avoided, risk avoided and cash released. Clients and partners can build new agents on the same platform, and agents we certify go into our marketplace. Every deployment adds outcome data, so every agent makes the next one better.
Key takeaway: the more agents deployed, the better every agent gets.
How we scale across Asia Pacific without selling data. We package our full-stack AI and outsourcing into AI Centres of Excellence and roll them out with regional partners as joint ventures, like a franchise. Client data stays on-site. Agents and playbooks are shared across the network, so every new centre strengthens the others.
Key takeaway: the network is the moat.
How we run end-to-end outsourcing on one agentic AI core: BPO across front, middle and back office, plus ITO covering IT management and software development. Agents handle the routine work, people handle judgment and exceptions, and every case keeps one memory from start to finish.
Key takeaway: one stack and one partner, instead of four vendors priced on headcount.
Why we are Agentic AI first and robotics second, and how the two fit one strategy. It follows one customer from a contact-centre call to a store visit, where our humanoid Robo1 picks up the conversation. Then it shows how an agent configured once on digital channels carries its knowledge, rules and languages into the robot, which adapts to what it sees in the store.
Key takeaway: one brain, many bodies.
Talk to our team about your contact centre, sales or service floor, and get the white paper behind the numbers above.
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