Infield is a manufacturing operations platform that uses AI to digitize and optimize shop floor processes. It enables industrial teams to move away from static, paper-based work instructions and embrace interactive, smart workflows that can be easily updated, scaled, and tracked in real time.
Designed for manufacturing engineers, operators, quality teams, and frontline managers, Infield provides tools to author digital work instructions, collect actionable feedback, and ensure process adherence across production lines. Its intuitive interface and AI-enhanced capabilities allow manufacturers to improve quality, reduce training time, and respond more flexibly to changes in operations.
Infield is particularly beneficial in discrete manufacturing, where consistency, traceability, and process control are critical to operational success.
Features
Digital Work Instructions: Create and deliver step-by-step, media-rich instructions for operators to follow on tablets or monitors.
AI-Assisted Authoring: Automatically generate or refine work instructions using AI, reducing manual effort and documentation time.
Real-Time Feedback Loop: Operators can report issues, provide suggestions, or flag unclear steps directly within the interface.
Smart Revision Control: Automatically manage document versions and ensure operators always follow the latest approved workflow.
Data Collection and Analytics: Track completion times, error rates, and compliance across teams and processes.
Multilingual Support: Translate instructions into multiple languages to support diverse workforces.
Role-Based Access Control: Customize views and permissions for engineers, quality staff, and operators.
Offline Mode: Access instructions even in low-connectivity environments on the shop floor.
Mobile and Desktop Support: Use across various devices including tablets, laptops, and fixed kiosks.
Integration Ready: Can integrate with MES, ERP, or PLM systems for data syncing and operational alignment.
How It Works
Instruction Creation: Manufacturing engineers or process managers use Infield’s editor to create digital work instructions, enhanced by AI suggestions.
AI Optimization: The AI engine can suggest improvements, clarify language, or identify inconsistencies in steps.
Deployment: Instructions are published to the shop floor via tablets or workstations, ensuring version control and clarity.
Execution and Feedback: Operators follow instructions in real time and provide feedback if a step is unclear or needs revision.
Data Collection: Infield captures timestamps, errors, and user feedback during task execution.
Continuous Improvement: Teams use collected data and AI insights to refine processes, reduce errors, and train new employees more effectively.
Use Cases
Work Instruction Digitization: Replace PDFs and printed SOPs with interactive, always-updated digital workflows.
Operator Training: Standardize onboarding and reduce time-to-productivity by using guided digital processes.
Quality Control: Track process deviations and enforce quality assurance steps in real time.
Process Optimization: Identify bottlenecks or repeat errors by analyzing execution data.
Cross-Site Standardization: Deploy consistent processes across multiple plants or production lines.
Regulatory Compliance: Maintain traceable execution records to support audits and certifications.
Change Management: Roll out product or process changes instantly with smart revision control.
Pricing
As of June 2025, Infield uses a custom pricing model tailored to the needs of individual manufacturing organizations. Pricing typically varies based on:
Number of users or operators
Number of facilities or production lines
Required features (e.g., AI assistance, analytics, integrations)
Onboarding and support requirements
Data storage and compliance needs
To request a quote or personalized demo, visit https://www.infield.ai/contact.
Strengths
Manufacturing-Focused: Purpose-built for industrial use cases, not a generic task management tool.
AI-Enhanced Documentation: Speeds up the creation and improvement of work instructions.
Real-Time Shop Floor Visibility: Managers gain insight into execution status and bottlenecks.
Operator-Friendly Interface: Designed with ease of use in mind for frontline workers.
Scalable Across Plants: Supports standardization and adaptability across large organizations.
Actionable Analytics: Delivers insights that directly impact efficiency, quality, and training.
Regulatory Support: Helps maintain compliance by ensuring controlled documentation and traceability.
Drawbacks
Enterprise-Oriented: May be too robust for very small manufacturers or shops with limited digital infrastructure.
Requires Training: Teams transitioning from paper-based systems will need onboarding and process change.
Initial Setup Time: Digitalizing existing SOPs can take time depending on the volume of documentation.
Custom Pricing Model: Lack of transparent pricing may deter SMBs looking for off-the-shelf solutions.
Dependent on Data Quality: Accurate, up-to-date input is necessary for optimal AI recommendations.
Comparison with Other Tools
vs. Dozuki: Dozuki offers work instructions but lacks the same depth of AI support and real-time feedback mechanisms.
vs. Tulip: Tulip provides broader manufacturing apps; Infield focuses more tightly on work instructions and process optimization.
vs. MasterControl: MasterControl is regulatory-heavy for pharma/medtech, while Infield is lean and focused on industrial manufacturing.
vs. Google Docs or Paper SOPs: Infield provides AI-driven intelligence, version control, and feedback loops — essential features that traditional documents lack.
Infield is especially effective for manufacturers focused on continuous improvement, lean operations, and quality-first execution.
Customer Reviews and Testimonials
While third-party review data is still limited, early users and pilot customers from the manufacturing industry report:
“Infield transformed the way we train operators — onboarding is now 40% faster.”
“The ability to collect real-time feedback from the floor has helped us fix recurring issues we didn’t know existed.”
“Our engineering team finally has a scalable way to standardize processes across multiple lines.”
The platform has received positive attention from industry innovation leaders, particularly in automotive, aerospace, electronics, and industrial equipment sectors.
Conclusion
Infield is redefining how manufacturers think about work instructions, training, and process optimization. By combining AI, real-time feedback, and digital documentation, it empowers operations teams to work faster, smarter, and with greater consistency.
If your organization is ready to move beyond static SOPs and take a data-driven approach to execution, Infield offers a flexible, modern platform tailored for today’s manufacturing challenges.
