03 Verticals · Manufacturing

Marketing & AI for
manufacturing & industrial operators.

We run technical marketing and AI automation for manufacturers, OEMs, and industrial operators — engineer-led companies selling complex products to procurement buyers and defense primes. SEO and technical content on one side; RFP intelligence, CPQ copilots, and workflow automation on the other.

KacificSatellite Internet · SG FlexxonNAND Solutions · SG X-PHY IncCybersecurity · US Gauze CareMedical Products · US NDAB2B SaaS · US NDAFintech · SG NDAClimate & Energy · APAC NDALogistics · US

Manufacturing sells on trust, not MQLs.

Your buyers don't fill in demo forms. They read technical whitepapers, compare spec sheets, and pull your name off a tender list twelve months into a budget cycle. Winning them takes a content and SEO program the engineer actually respects, an RFP-intelligence agent that flags the tender inside 12 hours, and a CPQ copilot that prices a configured product without two engineers on a call.

We've shipped for Flexxon (NAND solutions for defense and medical), satellite-internet operators, and industrial SaaS platforms across APAC — companies that compete globally from Singapore with engineering-grade product and procurement-grade sales cycles.

Finyki is remote-first, with teams across Singapore and the United States. SGT and EST working hours, fluent across EDB/IMDA and IRA / federal procurement, and inside your time zone whether the tender drops in Washington or on GeBIZ.

02 What we run in Manufacturing

Service shapes across marketing
and AI, tuned to industrial sales cycles.

Every engagement targets a specific slow point in the marketing-to-procurement-to-engineering handoff.

01 · SEO

Procurement-intent SEO & AEO

Search programs targeting the technical, spec-driven, and procurement-intent queries that actually precede industrial purchases. AEO optimization for LLM-powered answer engines procurement teams now use.

02 · Content

Technical content & whitepapers

Spec-grade technical content, comparison guides, and case studies that pass your product-engineering review before they go live. Built to earn links, citations, and CISO/procurement forwards — not to chase traffic.

03 · Demand

ABM for OEM engineers & govt procurement

LinkedIn, paid search, and trade-publication placements reaching the named accounts you actually need — OEM engineering teams, govt procurement officers, and tier-one enterprise buyers.

04 · Intake AI

RFP & tender intelligence

Monitor the tender portals and procurement feeds your team can't read every day. Classify, score, and brief only the ones worth responding to — with a draft outline against your past winning proposals.

05 · CPQ AI

Configure-price-quote copilots

Engineering-grade CPQ that respects your rule library, your margin floors, and your manufacturability constraints. Reduces the two-engineers-on-a-call pattern to a reviewed one.

06 · Service AI

Field service & knowledge agents

A copilot for field engineers that cites the actual service manual, with permissions matched to customer entitlements. Cuts truck-roll frequency on the long tail of issues.

Why most manufacturing agencies plateau.

Consumer playbook on industrial buyers. A demand-gen playbook built for SaaS converts nothing on a 14-month procurement cycle. We scope against the buyer you actually have — procurement committees, tender processes, trade-show pipelines — not the one the vendor slide diagrams.

Demos on clean data. A clean AI demo on three labeled records doesn't predict production. Your feature data lives in SAP, your product data lives in PLM, and your install-base data lives in seventeen spreadsheets.

Engineers don't trust black boxes — or generic content. A manufacturing team will reject any system or asset it can't audit. We ship evals, citation surfaces, and manual-override paths into every agent — and every content asset passes technical review.

Nobody integrated to SAP, Siemens, or the tender portals. Most agencies can build a prompt or write a blog post; very few can wire the ERP, the MES, and the tender feeds. That integration is 70% of the work.

03 Proof

Manufacturing teams already operating
on what we built.

Singapore · NAND Solutions · SEO + AI

Flexxon

Industrial-grade storage for defense, medical, and mission-critical workloads. We run the SEO + paid programs reaching OEM engineers and government procurement, plus an RFP-intelligence agent that flags relevant tenders inside 12 hours of publication.

  • +210%Keyword rankings
  • 2.1×Qualified MQLs
  • 14Top-3 rankings
APAC · Industrial SaaS · Workflow AI + Content

NDA · Industrial Platform

Built the exception-routing layer between the planning system and the customer-success team, and ran the technical content program that now drives 47% of inbound pipeline.

  • -92%Decision lag
  • +47%Inbound pipeline
  • 27%Planner capacity

How an engagement usually starts.

Week 0 — Scoping call (free). Forty-five minutes on your call, not ours. You describe the workflow that's bleeding time, the demand program that's plateaued, or the system that's stuck. We tell you which lever is the right first move, and roughly what shape the engagement would take.

Week 1 — Written scope. A one-page scope with the specific agent, workflow, or marketing program, the success metrics, the eval or measurement plan, and the cost. No 60-slide proposal.

Weeks 2–6 — Build. You see working output by the end of week 2, iterated weekly. Evals, analytics, or campaigns run against real production data from week 3. Your team joins the build reviews.

Week 6+ — Handover & operate. Full documentation ships to your repo, your CRM, your ad accounts. Your team runs it. We stay on for operate-and-improve retainer if you want us — many clients keep us for 18+ months. Many don't. Both are fine.

04 Questions Manufacturing teams ask

Usually in this order.

Do you do both marketing and AI for manufacturers?

Yes. Most of our manufacturing engagements run both — SEO and technical content targeting procurement intent on the marketing side, and RFP / CPQ / service agents on the AI side. They compound; running them separately wastes the compounding.

What's the right first use case for a manufacturing company?

On marketing, usually SEO + technical content against procurement-intent queries. On AI, usually RFP / tender intelligence or CPQ acceleration. Both have a clear before/after and they don't require ripping up the ERP to prove value.

Do you integrate with SAP, Oracle, or Siemens?

Yes. The integration layer is 70% of the work on a manufacturing engagement — we do it, we document it, and we hand it over. Typically orchestration on Temporal or n8n with explicit SAP / ERP adapters.

Can marketing work for engineer-led companies?

It has to look different. Technical whitepapers, citation-grade case studies, spec-driven landing pages, AEO-optimized for procurement queries. Not lead-magnet ebooks and gated demo forms.

What models work for defense or export-controlled environments?

Open-weight (Llama, Mistral) in a private VPC is the default when export controls or data-classification rules rule out API calls. We've shipped that pattern for defense-adjacent clients.

How do you price manufacturing engagements?

First production AI system typically SGD 60k–140k depending on integration surface. Marketing retainer from SGD 12k–30k / month depending on content velocity and paid media scope.

Do EDB / IMDA grants apply for Singapore manufacturers?

Often. EDG has funded several of our manufacturing deployments under the 'business transformation' or 'innovation' pillars. We'll help structure the SoW to align — approval is on you and your consultant, not us.

Your turn

Book the scoping
call.

Forty-five minutes, your agenda, no slides. You'll leave with a clear read on what the right first move is for your Manufacturing team — and a rough shape for the first engagement if it is.

Start the conversation

Remote-first · United States & Singapore
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