Introducing

OmniFDE

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.

OmniFDE engineer arriving at the paddock
FORWARD DEPLOYED. ACROSS EVERY PLATFORM. · 95% OF AI PILOTS FAIL — MIT NANDA 2025 · FDE POSTINGS UP 800% — EXTERN 2026 · $5.5B+ COMMITTED TO FDE MOTIONS — ANTHROPIC, OPENAI, PALANTIR · FORWARD DEPLOYED. ACROSS EVERY PLATFORM. · 95% OF AI PILOTS FAIL — MIT NANDA 2025 · FDE POSTINGS UP 800% — EXTERN 2026 · $5.5B+ COMMITTED TO FDE MOTIONS — ANTHROPIC, OPENAI, PALANTIR · FORWARD DEPLOYED. ACROSS EVERY PLATFORM. · 95% OF AI PILOTS FAIL — MIT NANDA 2025 · FDE POSTINGS UP 800% — EXTERN 2026 · $5.5B+ COMMITTED TO FDE MOTIONS — ANTHROPIC, OPENAI, PALANTIR ·
The state of enterprise AI, 2026

The deployment gap is real.

AI models keep getting better. Most enterprise deployments still don't ship. Every credible analyst points at the same gap.

0%
of enterprise GenAI pilots produce zero measurable business impact
— MIT NANDA, State of AI in Business 2025
0%+
of enterprise AI initiatives will fail to reach production through 2027
— Gartner
0%
growth in Forward Deployed Engineer job postings, 2024–2025
— Fonzi AI / Extern
$0.0B+
committed to FDE-style ventures by Anthropic, OpenAI and Palantir, as of May 2026
— MindStudio, MarkTechPost
What's driving the urgency

Every AI vendor is betting on Forward Deployed Engineers.

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.

FDE Investment Race · 2024–2026
Palantir+640%
640% stock return on FDE model5-year, 2021–2026
OpenAI Deployment Co.$4B+
Bain, Capgemini, McKinsey, TPG, BrookfieldMay 2026
Anthropic Enterprise JV$1.5B
Blackstone, H&F, Goldman SachsMay 2026
Accenture × MicrosoftPractice
Dedicated FDE practice launchedMarch 2026
Google FDEHiring
Aggressive hiring across regions2026
Cohere · Scale · Databricks · SalesforceTeams live
FDE teams operational2025–26
"The trillion-dollar prize is not licensing a chatbot. It's owning the workflow inside a Fortune 500."
OmniFDE engineers moving between multiple team paddocks
Introducing the category

OmniFDE is the vendor-neutral evolution of the FDE model.

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.

Platform-Neutral by Design

No license commission. No vendor quota. No renewal incentive that biases the recommendation. The problem picks the platform.

Multi-Platform Fluency

Production-grade depth across at least 3–5 platforms — not generalist thinness, but genuine race-engineer-level command of each.

Architecture-First

Every engagement starts with the problem and the constraints, never with the chassis the customer was last sold.

The structural difference

OmniFDE vs Vendor FDE.

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.

Vendor FDE garage on the left, OmniFDE multi-team workshop on the right
Dimension
Vendor FDE
OmniFDE
Employer
The platform vendor
An independent engineering practice
Platform coverage
One car, very deep
3–5 cars, deep on each
Revenue model
Services subsidise platform ARR
Services priced as the deliverable
Recommendation bias
Inherits the manufacturer's roadmap
Inherits the problem's shape
Best fit for
Teams committed to one platform
Teams buying outcomes, not platforms
Sales motion
Bundled with the license
Standalone engineering engagement
Renewal incentive
Strong — services exist to grow ARR
None — clean delivery is the deliverable
Multi-platform by build

The problem picks the platform. We're fluent across them all.

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.

Anthropic logo
Anthropic
Claude · agent design, RAG, evals
OpenAI logo
OpenAI
GPT-5.x · structured outputs, fine-tuning
Microsoft logo
Microsoft
Power Platform · Azure AI · Copilot Studio
UiPath logo
UiPath
Studio · Apps · AI Center · Agentic Automation
Google logo
Google
Vertex AI · Gemini · ADK
Oracle logo
Oracle
APEX · OCI Generative AI
Meta logo
Meta
Llama family · open weights
Salesforce logo
Salesforce
Agentforce · Einstein
Databricks logo
Databricks
Mosaic AI · Unity Catalog
Open Source
LangChain · LlamaIndex · vLLM

Have a platform we're not showing? We're probably fluent. Ask.

The 90-day adoption path

How an organisation adopts OmniFDE.

No bonfire of vendor relationships. No stack rebuild. Just a different sequence of decisions.

01

Map the garage

Inventory the platforms you already own — licenses, infrastructure, governance posture, data residency. Most enterprises discover three or four they're under-using.

02

Frame the problem

For each priority use case, write a one-page problem definition: outcome, constraints, success metric. Before any tool is named.

03

Engage an OmniFDE team

2–4 embedded engineers, 90 days. Architecture across your existing platforms, working software, evals, runbooks, trained internal team.

04

Build the inside team

OmniFDE is not permanent staffing. Train your engineers to operate, maintain and extend so the next race doesn't need an outside engineer.

05

Codify the standard

Adopt a written internal Omni-Platform Architecture standard. Future AI initiatives start with the problem definition, not the vendor pitch.

Concrete outputs

What we build inside your organisation.

A small sample of the AI-enabled products we've shipped or can ship in 90 days. Industry-tagged.

BFSI

SME onboarding & credit pre-screen agent

Cuts onboarding from days to minutes with policy-aware reasoning.

Read more
Insurance

Motor / general claims intake co-pilot

First Notice of Loss handled end-to-end with eval-gated confidence.

Read more
BFSI

AML / fraud investigation acceleration

Triage and enrich alerts at 5–10× human throughput.

Read more
Compliance

MyInvois / e-invoicing middleware

LHDN MyInvois compliance bridge for SQL Account, AutoCount, Sage UBS.

Read more
Enterprise

Finance reconciliation agent

5-day faster monthly close. Variance explanations included.

Read more
All sectors

Internal knowledge assistant

Trained on your operations manuals, SOPs and policy library.

Read more
All sectors

HR / recruitment screening agent

JD generation, candidate screening, sentiment-aware scoring.

Read more
Enterprise

Procurement-to-pay automation

Policy-aware reasoning across requisitions, POs, invoices.

Read more
The team behind OmniFDE

Built by a global enterprise AI engineering practice.

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.

  • Headquartered in Kuala Lumpur, working globally
  • Partner certifications: Anthropic, UiPath, Microsoft, Oracle, Google, Meta
  • Industries: BFSI · Insurance · Healthcare · Public Sector · Manufacturing · Enterprise mid-market
  • Governance-native: BNM, PDPA, AICB AI Governance, EU AI Act, HIPAA
  • Tech depth: UiPath, Power Platform, Azure AI, Anthropic, Oracle APEX, Salesforce, open source
  • Practice maturity: Building automation and AI products since 2019
Engagement reach
EMEA · Middle East · ASEAN
West ───────────────────── East
Common questions

Things every senior buyer asks.

A vendor FDE knows one platform deeply and is structurally biased toward growing that platform's ARR. OmniFDE engineers carry depth across multiple platforms and are paid only to deliver the customer's outcome — the platform mix follows the problem, not the vendor's roadmap.

No. OmniFDE engineers write production code, build the actual systems, ship them to production and train your team to maintain them. We measure ourselves on shipped software, not slide decks.

Production-grade depth on UiPath, Microsoft Power Platform, Azure AI, Anthropic (Claude), Oracle APEX — plus working command of Google Vertex / Gemini, OpenAI and key open-source frameworks. We add platforms as customer demand and partner certifications justify it.

Weeks 1–3: discovery + problem definition + architecture sketch. Weeks 4–10: build, integrate, evaluate. Weeks 11–13: production deployment, internal team training, handover. Deliverable: a working AI-enabled product in production plus a trained internal team.

Both. Every engagement is Adopt-and-Build — we co-build with your engineers, then transfer the architecture, runbooks and operational knowledge. The success metric is whether your team can extend the system without us within 6 months.

Headquartered in Kuala Lumpur, engaging clients across ASEAN, Middle East and EMEA. Remote-first delivery with on-site time at key milestones.

Fixed-fee engagements scoped from a discovery workshop. We don't bill T&M for OmniFDE engagements — the deliverable is the priced outcome, not the hours.

Banking, insurance and financial services (BFSI). Also active in healthcare, public sector and enterprise mid-market.

Engagement formats

Three ways to work with us.

Pick the format that fits where your organisation is right now. Each starts with a complimentary half-day discovery workshop.

Discovery Workshop

Duration
Half-day
Format
Complimentary

A working session with your senior team to surface the highest-leverage AI product opportunity in your operating model.

Book the workshop

OmniFDE Engagement

Duration
8–12 weeks
Format
Fixed-fee

A small embedded engineering team co-builds the first production solution end-to-end, with architecture and team transfer.

Scope an engagement

Long-Term Partnership

Duration
12–24 months
Format
Retained capacity

Embedded OmniFDE capacity to ship an AI product portfolio over the engagement horizon.

Discuss partnership

Forward Deployed.

Across Every Platform.

No slide deck. Just whiteboard thinking.

Book discovery