Every investigation starts from scratch
Tool logs, recipe history, metrology output, and inspection results live in separate places. There is no system that holds the whole picture — so engineers reassemble it manually, every time.
Semiconductor manufacturing
The intelligence layer
The intelligence layer
for fab-wide engineering decisions.
Semiconductor engineering teams make consequential decisions with incomplete context. Zigoraat brings the right manufacturing data, process knowledge, and engineering experience together — at the moment a decision needs to be made.
Earlier risk visibility
See risk forming across tools, recipes, and process steps before it reaches yield.
Full decision context
Every engineering decision made with complete process history, not assembled fragments.
Knowledge that compounds
Engineering knowledge becomes easier to reuse across teams and future decisions.
Faster investigations
Engineering teams start every investigation with direction — not hours spent assembling context.
The challenge
The most critical decisions in a fab are still made with incomplete context.
Root cause. Recipe qualification. Process control. Tool escapes. Each requires assembling a picture from systems that were never built to talk to each other. By the time the picture is complete, the yield hit has already happened.
New fabs coming online, widening workforce gaps, increasing tool complexity, fragmented data infrastructure, and rising pressure to improve yield are all making manufacturing intelligence an urgent need — not a future investment.
Yield loss is the first sign something went wrong
Process drift, tool degradation, and recipe deviation are often invisible until they surface downstream — as an out-of-spec measurement, a defect pattern, or a lost lot.
Context-gathering takes longer than deciding
Engineers spend more time pulling data together than analyzing it. By the time the full context exists, urgency has already forced a guess.
Critical knowledge lives in people, not systems
The engineers who know how a tool really behaves, which recipes drift, which alarms matter — when they leave, that knowledge leaves with them.
The platform
A digital twin intelligence layer for semiconductor manufacturing.
Zigoraat builds a persistent intelligence layer across your fab — connecting manufacturing data, process knowledge, and engineering experience — and makes the right context available at the moment every decision is made.
- Risk visible as it forms — not after it reaches yield
- Full context at the moment of every engineering decision
- Every finding and review captured as structured knowledge
- An intelligence layer that compounds — improving with every run and every decision
Zigoraat starts with the engineering workflows that matter most — where incomplete context costs the most — then expands across teams, tools, and production history as the intelligence layer deepens.
Request early access →Designed to work alongside existing fab systems and engineering workflows — without replacing them.
Without Zigoraat
With Zigoraat
3+ hours assembling context before every investigation
Context at the moment of decision
Risk discovered at yield loss
Risk visible as it forms
Knowledge leaves with senior engineers
Knowledge captured in systems
Each investigation rebuilt from scratch
Every investigation gets full context
Designed for semiconductor manufacturing environments
Core capabilities
What changes when teams use Zigoraat.
Four capabilities that go beyond connecting data — and make Zigoraat genuinely different from point tools and dashboards.
Decisions made with full context.
Engineering teams have the complete picture at the moment they need it — not assembled manually from separate systems or reconstructed from memory.
Equipment behavior, understood over time.
Unusual patterns become visible before they become problems. Teams stop rediscovering the same issues and start building a durable understanding of how equipment behaves.
Investigations that start with direction.
When something looks wrong, teams have the context to understand why — without spending hours assembling the picture. Root cause arrives faster and more consistently.
Knowledge the organization keeps.
What teams learn is captured and structured so it can be reused. Engineering expertise becomes accessible across the team — not locked in individuals or lost over time.
Use cases
The decisions Zigoraat supports.
Built around the manufacturing problems that matter most in semiconductor fabs.
Process drift investigation
Understand what changed, when it changed, and which runs are affected — without manually assembling the picture from separate systems. Start the investigation with context, not questions.
Recipe transfer and qualification
Reduce the uncertainty in recipe transfer by connecting parameter choices, tool conditions, and production outcomes — so teams can qualify faster and understand risk before it reaches yield.
Root-cause and engineering review
Give engineers the full process context for every investigation — history, prior findings, and related signals — so root-cause review is faster, more consistent, and builds on itself over time.
Tool behavior and fleet comparison
Compare how tools, chambers, and recipe families behave over time so teams can identify drift, recurring deviations, and tool-specific risk patterns earlier — before they reach yield or require an escape investigation.
The product
A guided workspace for semiconductor engineering decisions.
Zigoraat gives teams a structured interface that connects the full manufacturing context — and turns it into faster, clearer decisions.
Tool status
Tool Group AProcess area
Nominal
Tool Group BProcess area
Needs review
Tool Group CProcess area
Nominal
Tool Group DProcess area
Needs review
MeasurementProcess data
Nominal
Engineering ReviewActive
In progress
4 nominal
2 need attention
Decision context
Open investigation
Full process history available
Prior findings
3 related reviews linked
Knowledge base
Structured — accessible to full team
Context ready
No rebuild needed
01Full context for every decision
The information an engineer needs is there at the moment of the decision — not rebuilt from scratch each time it's needed.
02Visibility before yield impact
Teams see process and equipment conditions forming into risk — before that risk reaches downstream results.
03Knowledge that doesn't walk out
What teams learn gets captured and structured. The organization holds on to expertise instead of rebuilding it each time.
Who it serves
Built for organizations that depend on semiconductor manufacturing decisions.
Zigoraat is built for organizations where semiconductor manufacturing decisions are consequential — and where the cost of incomplete context is highest.
Semiconductor fabs
An intelligence layer that gives engineering and process teams the right context for every decision — and builds institutional knowledge that compounds over time, rather than leaving with the last senior engineer.
Tool OEMs
Support smarter engineering workflows around equipment — connecting process knowledge and operational outcomes to improve training, field service, and qualification programs.
Workforce and training programs
Build engineering capability on realistic manufacturing scenarios and decision-making context — so teams are prepared for production-level complexity before they're in it.
Get in touch
See how Zigoraat supports fab-wide engineering decisions.
We're working with a small group of early partners in semiconductor manufacturing. If you're an engineer, process leader, or organization building for the future of fab operations — request early access.
Request early access →Or reach us directly at support@zigoraat.com
Zigoraat is built by people who understand semiconductor manufacturing. We're working with a small number of early partners and are selective about who we bring on.