Smart Factory | SURROMIND

Smart Factory Manufacturing AI for Smarter Factory Work

Use AI to make drawing, inspection, diagnostics, and analysis work faster and more reliable.

Core Services Bring AI into critical manufacturing workflows

Start with the areas that fit your site, security requirements, and operational priorities,
from engineering drawings and inspection to diagnostics, analytics, and reporting.

Drawing Intelligence

Turn manufacturing and engineering drawings into searchable, review-ready digital data so engineers can find, validate, and issue the right information faster.

Inspection Intelligence

Add deep learning to existing inspection equipment to detect fine scratches, classify nonstandard defects, and maintain a clearer quality history.

Signal-Based Diagnostics

Analyze equipment and product signals in real time to identify abnormal patterns and prioritize likely causes faster.

Analytics and Reporting

Analyze quality and process data, then turn the results into dashboards, reports, and actionable insights for problem-solving.

Secure AI Deployment

Run AI within internal networks to meet security requirements while working toward target performance.

Operational Challenges Move beyond equipment automation
to smarter process decisions

Productivity improves when teams reduce work that depends on visual checks and individual experience.
Manufacturing AI analyzes process data to support shop-floor decisions.

Experience-Dependent Judgments

Decisions that rely on individual expertise are vulnerable
to changing work conditions and handoffs, making consistent quality harder to reproduce.

Drawing review

Fine and atypical defect judgment

Abnormal-signal interpretation

Fragmented Records

When inspection results and drawing revisions are kept in separate places,
teams lose time tracing past records when similar issues reappear.

Inspection, action, and drawing-revision history

Recurring quality-issue response

Delayed Root-Cause Analysis

When equipment signals and quality data are separated,
missing links between the data slow down analysis of abnormal conditions.

Cross-data review

Lot and batch anomaly patterns

Likely causes and inspection priorities

Manual Analysis and Reporting

When data collection and report creation stay manual,
repetitive work continues to consume shop-floor and engineering resources.

Shop-floor and experiment data analysis

Spreadsheet visualization and report creation

Production Deployment Gaps

PoCs are difficult to put into practice when internal networks,
security requirements, and existing systems are not reflected from the start.

Legacy-system and security review

Testing in real-world environments

Industry Applications Find the right AI fit for your manufacturing environment

Every site faces a different mix of challenges, from defect detection and drawing validation to equipment diagnostics.
Explore AI capabilities matched to your industry's needs.

Semiconductor &
Precision Electronics Manufacturing

Improve defect detection in precision manufacturing processes. Process and inspection data can reveal missed opportunities to improve yield.

AI Inspection

Process Data Analysis

Secure AI Deployment

Mobility &
Industrial Machinery Manufacturing

Faster review of large engineering drawing sets. Abnormal signals from key equipment and finished products can be identified before issues escalate.

Drawing Digitization

Quality History Management

Equipment and Product Diagnostics

Battery &
Chemical Materials Manufacturing

Earlier anomaly detection across continuous production lines. Process data helps narrow likely defect causes when many variables interact.

Real-Time Diagnostics

Process Data Analysis

Likely-Cause Analysis

Pharmaceutical &
Biotech Manufacturing

Secure data handling in isolated on-premises environments, with consistent management of manufacturing records and quality data.

Manufacturing Record Management

Quality Data Analysis

Secure AI Deployment

Energy &
Infrastructure Operations

Faster validation of complex infrastructure drawings. Earlier equipment diagnostics help reduce unplanned downtime risk.

Drawing Validation

Secure AI Deployment

Equipment Condition Diagnostics

Why SURROMIND From field validation to self-sufficient operation,
SURROMIND brings manufacturing AI into practical use

Rapid Validation and Development

With experience developing 300+ AI models, SURROMIND uses Multimodal AI to test complex field data quickly and build the models each site needs.

Integration with Existing Systems

Keep existing equipment and work environments in place. Connect AI only to the processes that need support, from inspection decisions to diagnostics and analysis.

Secure On-Premises Deployment

Build systems for internal networks and on-premises environments, so critical field data can be handled without moving it to external servers.

Problem Solving and Model Improvement

Resolve priority challenges at the deployment site, then give teams an MLOps environment to retrain and improve AI models on their own.

Use Cases See manufacturing AI in practice

Engineering Company A
Semiconductor Parts Manufacturer A
Automotive Group A / Diagnostics
Automotive Group A / Analytics

Automated engineering drawing extraction, validation, and release

AI recognizes and validates complex drawing information, turning it into searchable, review-ready data for engineering workflows.