Almetra Alternatives

Almetra provides AI-powered manufacturing intelligence that combines video analytics, machine data, and production information to analyze cycle times, bottlenecks, and downtime. Formerly known as Deltia, the company rebranded in 2026 as it expanded its platform. Its approach reflects the growing role of AI in smart manufacturing for production analysis and operational improvement.

Manufacturers comparing these platforms may prioritize production analytics, quality inspection, equipment monitoring, or workplace hazard identification. This guide examines Almetra alternatives for 2026, beginning with Voxel, which uses existing cameras to connect industrial safety monitoring with operational flow insights.

Key Takeaways

• Manufacturing intelligence platforms serve distinct needs: Solutions may focus on production analytics, workplace safety, visual quality inspection, equipment health monitoring, or process improvement, each using different data sources and technologies.
• Voxel connects safety and operational intelligence: The platform uses existing cameras to monitor safety risks while providing cycle-time visibility, flow analysis, and utilization insights that inform both safety and efficiency improvements.
• Existing camera integration can simplify deployment: Platforms working with current security infrastructure reduce hardware investments, though actual deployment timelines depend on site readiness, camera compatibility, and network requirements.
• Customer results reflect different measurement approaches: Published outcomes include safety incident reductions, workflow efficiency gains, production throughput improvements, and assessment time savings - results that depend on facility conditions, deployment scope, and implemented interventions.
• Platform selection requires matching capabilities to needs: Manufacturers should evaluate supported use cases, production system integration, data sources, privacy controls, technical requirements, and customer evidence relevant to their specific operational challenges.

1) Voxel

Voxel delivers an AI-powered site intelligence platform that transforms safety and operations across industrial manufacturing environments. Leveraging existing camera infrastructure, the platform turns everyday video footage into actionable insights that enable safer, more efficient operations. Backed by $44M in Series B funding, Voxel's mission is to redefine workplace safety and operations using AI for the betterment of all.

How Voxel Works

Voxel's site intelligence platform delivers real-time insights to proactively reduce risk in safety and operations, all by leveraging existing camera infrastructure. The platform works with more than 95% of existing IP cameras and can adapt to new environments within 48 hours, though actual deployment timelines depend on site readiness, camera compatibility, and network configuration.

Key capabilities include:

• Safety Monitoring: Identifies ergonomic risks, PPE compliance gaps, vehicle safety violations, blocked exits, spills, and unauthorized zone access across facilities
• Operational Intelligence: Voxel Flow analyzes cycle times, movement patterns, bottlenecks, delays, and utilization rates to surface efficiency improvement opportunities
• Action Management: Connects detected conditions with recommended corrective actions, assigned owners, deadlines, and follow-up reporting
• Impact Demonstration: Provides executive-level reporting that tracks intervention completion and demonstrates measurable outcomes

Manufacturing Customer Results

Voxel's enterprise deployments show documented outcomes across manufacturing industries:

• Americold reported a 70% reduction in injuries, eliminated lost-time days, and achieved $1.1M annual EBITDA savings at a California cold-storage facility
• At its Vonore, Tennessee manufacturing facility, Carlex Glass reported an 86% improvement in safety vest compliance and a 47% reduction in no-stop incidents at aisle ends within three months
• NSG Group reported a 62% reduction in safety vest incidents within 30 days at a U.S. manufacturing site and expanded its Voxel deployment from a Canadian pilot to facilities across 10 countries
• At its Marion, Ohio manufacturing facility, Piston Automotive reported an 86% reduction in vehicle safety incidents within three months; Voxel also identified a 60% utilization rate among material handlers, providing information for workload planning
• At the Port of Virginia, Voxel-supported initiatives were associated with a 50% reduction in truck speeding and an 85% improvement in safety-team efficiency over six months at this marine-terminal operation

Privacy-First Design

Voxel does not use facial recognition or identify individuals by face; facial blurring is available upon request. The platform offers role-based access with permissions configurable at the location and camera levels. Privacy features such as blurring, access controls, and clear data-use policies can help organizations address workforce concerns. Voxel has documented manufacturing deployments where management worked with union leadership to establish non-punitive safety-monitoring practices, including facilities collaborating with United Auto Workers. Multiple clients use Voxel footage for "Caught You Being Safe" recognition programs rather than disciplinary actions.

1) Invisible AI

Invisible AI provides video-based production intelligence for manufacturing operations, particularly automotive assembly. The platform uses computer vision to analyze assembly-line performance and identify production patterns.

Key Features

• Computer vision for production line monitoring
• Cycle time analysis and throughput tracking
• Video-supported root cause analysis
• Standard work compliance monitoring
• Real-time production metrics dashboards
• Integration capabilities with automotive manufacturing systems

Manufacturing Intelligence Relevance

Invisible AI supports cycle-time analysis, standard-work monitoring, and video-based investigation of production losses in automotive manufacturing.

The company reports a 63% throughput improvement at one supplier, where output increased from approximately 320 to 520 parts per shift. In a separate customer implementation, it reports a 90% reduction in quality flow-outs and a 40% reduction in downtime. These are company-reported results from different facilities.

3) Sight Machine

Sight Machine provides manufacturing intelligence software that connects operational data from plant systems and applies AI agents to analyze production losses, process performance, and improvement opportunities.

Key Features

• Manufacturing Context Layer connecting industrial data sources
• Integration with PLCs, historians, MES, ERP, and related systems
• AI agents for production investigation and improvement analysis
• Structured production events and KPI tracking
• Dynamic Production capabilities
• Cross-facility performance comparison
• Enterprise AI integrations and plant-wide data modeling

Manufacturing Intelligence Relevance

Sight Machine connects data from manufacturing systems to support plant-wide production analysis and performance reporting. Its platform focuses on operational records, equipment data, and connected industrial systems rather than direct camera-based observation.

4) Drishti Technologies

Drishti has developed AI-powered video analytics for manual manufacturing assembly, including cycle-time measurement, video traceability, and process analysis.

Key Features

• Video-based analysis of manual assembly operations
• Cycle time measurement for human operators
• Video traceability for production events
• Standard work improvement insights
• Operator training and quality improvement support
• Action recognition technology for assembly tasks

Manufacturing Intelligence Relevance

Drishti's documented applications include automotive and electronics manufacturing. Earlier reporting describes its use at DENSO manufacturing plants, while company materials have also identified Flex among its customers.

These descriptions reflect previously documented capabilities; current product availability and updated specifications are not established in the source material.

5) Retrocausal

Retrocausal provides AI-assisted manufacturing software for assembly guidance, process analysis, and ergonomic assessment in manufacturing environments.

Key Features

• Assembly Copilot: AI-assisted work instructions, step verification, operator guidance, video traceability, and assembly quality analysis
• Kaizen Copilot: Video-based time studies, line balancing, work instruction generation, and process documentation
• Ergo Copilot: Video-based ergonomic assessments and improvement recommendations
• MES and industrial tooling integration for supported applications

Manufacturing Intelligence Relevance

Retrocausal provides digital assembly guidance, process analysis, and ergonomic assessment tools. Its applications include aerospace, automotive, and other manufacturing environments where work instructions and assembly procedures vary across products and configurations.

6) Landing AI

LandingAI's LandingLens software provides tools for developing and deploying computer vision models, including industrial inspection applications involving classification, object detection, segmentation, and anomaly detection.

Key Features

• Low-code computer vision model development
• Image classification and object detection
• Segmentation and anomaly detection capabilities
• Training data labeling and management
• Model deployment and monitoring tools
• Visual defect detection for quality inspection

Manufacturing Intelligence Relevance

LandingLens supports manufacturing quality inspection through custom computer vision models for defect identification and classification. Its tools cover training data management, model development, and deployment for visual inspection tasks.

LandingAI's broader product portfolio also includes document intelligence applications involving parsing, extraction, and classification.

7) Augury

Augury provides industrial AI solutions through Machine Health and Process Health platforms for equipment monitoring and production analysis.

Key Features

Machine Health:

• Sensor-based equipment monitoring using vibration, temperature, ultrasound, and magnetic field data
• Predictive failure analysis
• Maintenance scheduling
• Equipment health diagnostics
• Integration with maintenance management systems

Process Health:

• Production process analysis
• Root cause investigation for process losses
• Yield and throughput analysis
• Waste and energy analysis
• AI-generated process recommendations
• Process control and setpoint optimization

Manufacturing Intelligence Relevance

Augury's Machine Health offering uses sensor-based diagnostics for equipment monitoring and maintenance planning. Its Process Health platform analyzes production data to support investigations involving yield, throughput, waste, energy use, and process settings.

These applications focus on equipment condition and production process data rather than continuous camera-based workplace safety monitoring.

Why Voxel Stands Out for Manufacturing Intelligence

Voxel combines AI-powered safety monitoring with operational intelligence to address the interconnected nature of workplace safety and manufacturing efficiency. While the platform is purpose-built for industrial safety environments, its capabilities extend to operational insights that directly impact manufacturing performance.

• Dual Focus on Safety and Operations: Voxel's platform monitors ergonomic risks, PPE compliance, vehicle safety, and environmental hazards while simultaneously providing operational visibility. Voxel Flow analyzes cycle times, movement patterns, bottlenecks, and utilization rates, helping teams understand both safety exposures and efficiency opportunities. Piston Automotive's deployment illustrates this dual benefit: an 86% reduction in vehicle safety incidents alongside the identification of 60% material handler utilization that informed workload optimization.
• Existing Infrastructure Integration: Working with more than 95% of installed IP cameras, Voxel reduces hardware investments compared to solutions requiring new sensors or dedicated equipment. The platform can adapt to new environments within 48 hours, though actual deployment depends on site-specific factors. This approach contrasts with sensor-based monitoring or systems requiring extensive production equipment integration.
• Privacy Architecture for Union Environments: Privacy features including no facial recognition, optional blurring, and role-based access controls have enabled adoption in unionized manufacturing facilities. Documented collaborations with UAW leadership demonstrate how privacy-first design can support workforce acceptance, with platforms used for coaching and recognition rather than punitive enforcement.
• Actionable Intelligence and Accountability: Beyond detection, Voxel connects identified conditions with recommended actions, assigned owners, and deadlines, creating accountability for follow-through. The Port of Virginia's 85% improvement in safety team efficiency demonstrates how the platform reduces assessment workload - cutting daily footage review from 2-3 hours to 20-30 minutes while improving intervention focus.
• Proven Multi-Site Scalability: NSG Group's expansion from a Canadian pilot to facilities across 10 countries with consistent deployment demonstrates the platform's ability to scale globally while maintaining performance. Multi-site dashboards and standardized metrics enable enterprise organizations to compare performance and share best practices across locations.

For operations teams and EHS professionals evaluating manufacturing intelligence platforms, understanding how safety and operational performance intersect helps clarify platform selection. Voxel's combination of safety detection, operational visibility through Flow, and action management provides integrated intelligence for industrial environments where both workforce protection and efficiency improvements matter.

Schedule a meeting to explore how Voxel supports manufacturing safety and operations.

Frequently Asked Questions

What types of manufacturing intelligence do different platforms provide?

Manufacturing intelligence platforms address different needs, including production monitoring, quality inspection, equipment health, and workplace safety. Production tools analyze cycle times and bottlenecks, while quality systems detect defects and equipment-monitoring solutions identify maintenance needs. Voxel combines safety monitoring with operational intelligence, using existing cameras to identify workplace risks alongside movement patterns, cycle times, and utilization rates.

How does AI-powered site intelligence work in manufacturing environments?

AI-powered site intelligence analyzes footage from existing cameras to identify observable safety risks and operational patterns. Voxel's site-tuned computer vision models monitor supported conditions such as lifting posture, PPE use, vehicle interactions, material flow, and cycle times. Voxel reports 96%+ detection accuracy and connects insights to corrective actions, assigned owners, and follow-up tracking.

What operational insights can camera-based manufacturing intelligence provide beyond safety?

Camera-based manufacturing intelligence can reveal cycle times, bottlenecks, movement patterns, and utilization rates. Voxel Flow analyzes these conditions to support operational improvements. At Piston Automotive, Voxel identified 60% material-handler utilization for workload planning, while the Port of Virginia reported an 85% improvement in safety-team efficiency through streamlined video reviews.

How quickly can manufacturing intelligence platforms be deployed?

Deployment timelines vary based on camera compatibility, network configuration, integration requirements, and site readiness. Voxel works with more than 95% of existing IP cameras and can deploy in as little as 48 hours at suitably prepared facilities. Some implementations require additional edge equipment or IT coordination, while platforms integrating extensively with MES, PLC, or ERP systems may involve longer timelines.

What privacy features matter for AI deployment in manufacturing facilities?

Key privacy considerations include facial recognition policies, face and body blurring, role-based access controls, and transparent data-use practices. Voxel does not use facial recognition, offers configurable privacy controls, and has worked with United Auto Workers leadership on non-punitive safety monitoring. Workforce acceptance also depends on clear communication, applicable labor agreements, and responsible use of monitoring data.