A working enterprise AI stack isn't one vendor — it's roughly a dozen layers, each with a different right answer for each client. These are the layers we deploy and manage.
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Partner 01
Foundation models
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Foundation models
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Workflow automation
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Document intelligence
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Customer service AI
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Vector / memory infra
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Observability & evals
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Cloud & compute
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Identity & security
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Voice & multimodal
/ 02 — Business partners
Delivery and go-to-market relationships.
The firms we co-deliver with, the channels we go through, and the regional partners who carry the work where we don't sit on the ground.
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Partner ALogo
Regional delivery — implementations across SE Asia.
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Channel referrals — banking & financial services.
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Co-delivery — large-scale change & training programs.
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Global advisory — strategy work upstream of build.
/ 03 — Selection
Accountability over access.
We keep a genuine multi-vendor stack on purpose. Tying a client to one vendor would be easier and worse — it commoditizes our value and concentrates their risk.
We choose partners on what they're accountable for, and we remain the single party answerable for the whole.
What we don't do
Single-vendor reselling.
Margin on someone else's logo isn't a moat. It's a markup.
What we do
Assemble. Stand behind.
We pick the parts, run the integration, and own the SLA.
/ 04 — Become a partner
Two ways to join the stack.
Pick the shape that fits — we read every message and reply within three business days.
Technology vendors
If you build AI worth putting in front of enterprise clients.
Tell us where you fit the stack — foundation model, agent runtime, vertical app, infra layer — and which client shapes you're built for.
If you can carry the work where we don't sit, or open a door we wouldn't get to ourselves — we want to know the shape of what you'd contribute and what you'd want in return.