Semiconductor

Recover proven fixes faster—and stop repeat tool events consuming engineering time.

Tacit AI connects approved manuals, work orders, engineering notes, and tool history into source-linked evidence for reliability and fab teams. Engineers approve guidance and risk changes; associations with yield remain hypotheses until validated.

70-95%engineer-ready FMEA accuracy
<3 weeksfirst FMEA delivered
SEMI E10compliant from day one

Where Tacit AI supports the decision

Turn fragmented equipment evidence into controlled fab decisions.

Retrieve known solutions with evidence

Search approved manuals, SOPs, work orders, and engineering notes by symptom, module, chamber, component, and configuration. Answers cite their source so engineers can judge applicability before use.

Establish equipment-risk baselines

Prepare candidate functions, failure modes, effects, causes, controls, and maintenance links from authorized evidence. Tool owners review every proposal and retain responsibility for procedures, risk ratings, and release.

Compare like tools without erasing context

Surface recurring evidence across comparable tools while preserving model, chamber, process, recipe, age, modification, supplier, and fab differences. Reuse occurs only after an owner confirms applicability.

Prioritize fab investigations

Combine maintenance, fault, excursion, qualification, and process context to rank questions worth investigating. Tacit AI presents associations and alternative explanations—not proof that maintenance caused a yield outcome.

Govern knowledge and changes

Use role-based review, source citations, decision history, and controlled export. Deployment, access, retention, intellectual-property boundaries, and integration are agreed before production use.

Qualify event data

Check timestamps, tool identity, chamber, recipe, and maintenance coding before comparing events. Missing context remains visible so fab teams can judge whether a pattern is usable.

Economic and technical owners

For leaders accountable for availability, excursion response, engineering leverage, and knowledge continuity.

Built for fab operations, equipment engineering, process engineering, yield, reliability, maintenance, and equipment-OEM leaders who need evidence to move across shifts and sites without scoring employees or bypassing tool ownership.

Mature fabs

Recover insights from sparse history

Connect existing records to recurring symptoms and risk content, then let qualified engineers decide which prior interventions apply to the current tool and process context.

New tools and ramps

Create a governed starting baseline

Organize OEM documentation, acceptance evidence, local procedures, and known risks before operating history matures. Customer and OEM authorities own qualification and process release.

Methods and governance

Standards apply only to the scoped workflow and selected edition. SEMI S2 is environmental, health, and safety guidance for semiconductor manufacturing equipment; it is not a cybersecurity control framework.

SEMI E10 terminology where selected
SEMI E58 terminology where applicable
SEMI S2 EHS context only
IEC 60812 FMEA methodology
Site-specific cleanroom and EHS controls

Controlled engagement

Start with one expensive, evidence-rich decision.

The fab defines the tool boundary, data rights, systems, reviewers, baseline, and success measures before analysis begins.

Scope

Define the comparison

Customer-defined

Choose one tool family and use case, map configurations and data lineage, identify approved sources, agree access and IP controls, and select known cases for evaluation.

GateSources, baseline, owners, and exclusions approved

Validate

Test usefulness and limits

One bounded pilot

Measure retrieval against known cases, citation validity, reviewer effort, accepted risk proposals, and unsupported assumptions. Any yield analysis documents lag, matching, confounders, and uncertainty.

GateTool and process owners accept the evidence

Expand

Integrate approved use cases

After validation

Agree interfaces, review ownership, change control, monitoring, and rules for tool-to-tool or fab-to-fab reuse before extending the deployment.

GateBusiness owner authorizes expansion

Review one tool family

Bring known incidents, approved fixes, tool configuration, and the operational question you need the evidence to answer.

Questions

Semiconductor evidence questions, answered.

No. Tacit AI can organize customer data using selected SEMI terminology. SEMI E10 addresses equipment reliability, availability, and maintainability metrics; SEMI S2 addresses equipment EHS guidance and is not a cybersecurity standard.

Tacit AI can prepare a source-linked draft from approved equipment and maintenance evidence. Tool, process, EHS, and reliability owners determine scope, ratings, controls, procedure changes, and approval.

The pilot may explore time-aligned associations between equipment, process, excursion, qualification, and yield data. The method must disclose matching rules, sample size, lag, missing data, recipe and product mix, upstream/downstream effects, and other confounders. Association is not causation.

Potential integrations are assessed against interfaces, volume, timestamp and equipment identity quality, data ownership, security, validation, and system-of-record controls. The pilot can begin with a controlled extract before production integration.

This workflow evaluates evidence and documentation, not employee competence or performance. Any workforce analytics would require a separate, explicitly governed use case with legal, privacy, labor, and human-review controls.

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