Omni-Platform Forward Deployed Engineering.
Vendor-neutral by design.
The next chapter of enterprise AI delivery. Embedded engineers fluent across every platform — Anthropic, UiPath, Microsoft, Google, Oracle, OpenAI, open source. The problem picks the platform.
AI models keep getting better. Most enterprise deployments still don't ship. Every credible analyst points at the same gap.
In the last 14 months, the world's most-funded AI companies have committed multiple billions to embedded engineering motions. The strategic message is unmistakable: deployment is the prize.
"The trillion-dollar prize is not licensing a chatbot. It's owning the workflow inside a Fortune 500."
Same embedded, build-it-with-you discipline as a vendor FDE. Same code-shipping, customer-side engineering. Different relationship with the platform — fluent across every chassis in your paddock, biased only by the problem in front of us.
No license commission. No vendor quota. No renewal incentive that biases the recommendation. The problem picks the platform.
Production-grade depth across at least 3–5 platforms — not generalist thinness, but genuine race-engineer-level command of each.
Every engagement starts with the problem and the constraints, never with the chassis the customer was last sold.
Vendor FDEs are not worse engineers — many are world-class. They are simply optimised for a different game. Here's how OmniFDE differs across the seven dimensions that matter most.
Our engineers carry certified depth across the platforms most enterprise AI problems actually touch — and we add open source where it's the right call.
Have a platform we're not showing? We're probably fluent. Ask.
No bonfire of vendor relationships. No stack rebuild. Just a different sequence of decisions.
Inventory the platforms you already own — licenses, infrastructure, governance posture, data residency. Most enterprises discover three or four they're under-using.
For each priority use case, write a one-page problem definition: outcome, constraints, success metric. Before any tool is named.
2–4 embedded engineers, 90 days. Architecture across your existing platforms, working software, evals, runbooks, trained internal team.
OmniFDE is not permanent staffing. Train your engineers to operate, maintain and extend so the next race doesn't need an outside engineer.
Adopt a written internal Omni-Platform Architecture standard. Future AI initiatives start with the problem definition, not the vendor pitch.
A small sample of the AI-enabled products we've shipped or can ship in 90 days. Industry-tagged.
Cuts onboarding from days to minutes with policy-aware reasoning.
First Notice of Loss handled end-to-end with eval-gated confidence.
Triage and enrich alerts at 5–10× human throughput.
LHDN MyInvois compliance bridge for SQL Account, AutoCount, Sage UBS.
5-day faster monthly close. Variance explanations included.
Trained on your operations manuals, SOPs and policy library.
JD generation, candidate screening, sentiment-aware scoring.
Policy-aware reasoning across requisitions, POs, invoices.
Symprio is a global product engineering and advisory firm headquartered in Kuala Lumpur, with engagement reach across ASEAN, the Middle East and EMEA. We build AI-enabled products for clients in BFSI, healthcare, public sector and enterprise mid-market.
Pick the format that fits where your organisation is right now. Each starts with a complimentary half-day discovery workshop.
A working session with your senior team to surface the highest-leverage AI product opportunity in your operating model.
Book the workshopA small embedded engineering team co-builds the first production solution end-to-end, with architecture and team transfer.
Scope an engagementEmbedded OmniFDE capacity to ship an AI product portfolio over the engagement horizon.
Discuss partnershipNo slide deck. Just whiteboard thinking.