Seattle sits at the crossroads of aerospace manufacturing, port and maritime logistics, and sophisticated cloud companies, yet internal operations often run on tools that predate the sophistication of the product itself. Zethic closes that gap between engineering maturity and operational reality.
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85%
Long-term Partnerships
75%
Mid-to-Senior Engineers
5+
Avg. Years of Engineer Experience
98%
Would Recommend Us
Chances are one of these is true.
What you get from this work.
A Seattle engineering culture expects precision, whether that's an aerospace tolerance or an API response time. Our digital transformation services get built to meet that bar.
See how the work really flows before anything changes.
Current-state process mapBottleneck and handoff reviewQuick wins vs longer playsA prioritised roadmap
Engineering, logistics, or ops teams walk us through a real production or shipment cycle, and we document precisely where a handoff introduces delay or risk.
Make the tools you already pay for talk to each other.
API and webhook integrationsTwo-way data syncOne source everyone trustsError handling and retries
PLM, scheduling, and customs systems get connected through APIs. This work is central to our logistics and supply chain practice, built for time-sensitive cargo operations.
Take the repetitive steps off your team's plate.
Rule-based workflowsApprovals and notificationsScheduled jobs and reportsAudit trail and logging
Change approvals, customs alerts, and recurring production reports run through logic your team can trace as part of our process automation services in Seattle, with agentic AI development services applied wherever it reduces manual load.
Software built for the work, then put into people's hands.
Custom internal toolsRole-based accessHands-on trainingAdoption tracking and tweaks
Where a packaged platform can't match how a Seattle team operates, our prototype development services get a working model in front of the team fast, before a full build commits real time.
Intelligent Engineering, our team for the full-stack work behind every rollout.
Seattle teams tend to be skeptical of vague roadmaps, so each fix here gets proven with real evidence before the next one begins.
Start a Discovery{ 01 }· Week 1-2
Time spent directly with engineering, logistics, or ops staff, not a process diagram, shows exactly where a handoff introduces delay.
{ 02 }· Week 2-3
The fix with the clearest impact on production timing or shipment accuracy gets scoped first, defined in numbers already tracked.
{ 03 }· Ongoing
The slice gets built with our product strategy consulting services, spanning engineering, ops, and logistics, then tested with users.
{ 04 }· Rollout
Teams get trained around production or shipment schedules, adoption gets tracked with the rigor of any shipped feature.
Why teams pick us for this.
Understanding exactly how tight a production or shipment window is changes what gets prioritized first.
We deliver something usable early in every engagement, the same proof-first approach behind Zethic's broader AI and Digital Solutions.
Wherever an existing PLM, scheduling, or customs platform is still meeting its bar, it gets connected rather than replaced.
A tool that looks good in review but sits unused has failed. We track usage the way the team tracks any shipped feature.
Questions, answered.
Yes. Our digital transformation services in Seattle have covered PLM and production scheduling integration for aerospace and precision manufacturing suppliers working against tight timelines.
Yes. As a digital transformation company in Seattle, we've connected vessel scheduling, cargo manifest, and customs documentation systems for maritime logistics operators managing tight vessel windows.
Most work happens remotely, with on-site visits arranged for shop-floor, port, or office mapping and rollout, scheduled around production or shipment calendars. We run the same on-site rhythm for another Pacific Northwest engagement in Portland.
Pricing depends on scope: a fixed project for a single workflow or a dedicated pod for broader work, often paired with fractional CTO services for teams needing leadership without a full-time hire.
Yes. Once production or logistics data flows through one connected system, machine learning development services become a practical next step for forecasting.
Tell us where a handoff introduces delay or risk. A senior engineer replies within one working day with a clear starting point.
Tell us the workflow
What's manual, disconnected, or ignored today. We sign an NDA before specifics.
We map before we build
A senior engineer spends time with engineering or ops staff before recommending a fix.
Adoption, not just launch
We track usage with the same rigor as any other shipped feature.
Tell us where a handoff introduces delay or risk. A senior engineer replies within one working day with a clear starting point.
