TSLoom — Distributed Industrial Time-Series Data Platform
TSLoom is an integrated platform that collects, processes, analyzes, and visualizes diverse industrial data in real time. Built on a distributed Workflow Engine, it connects the journey from data to decision in a single pipeline — supporting digital transformation across semiconductor, battery, and smart-factory industries.
Six Core Pillars
- Diverse Data Connectivity — Unified integration of heterogeneous industrial equipment and IT systems
- Real-Time Data Processing — Stable real-time processing tailored to industrial environments
- High-Performance Visualization & Analytics — Intuitive visualization of large-scale data
- Edge · AI · MLOps Integration — Simplified AI model development and operations
- Visual Workflow — No-code / low-code based operational automation
- Enterprise Security — Security framework aligned with industrial and regulatory environments
Business Value — Turning Field Challenges into Outcomes
TSLoom addresses persistent industrial challenges — difficult data integration, heavy analytics setup, and operational efficiency limits — through one unified platform.
Industry Applications
- Semiconductor — Process monitoring, virtual metrology, defect classification, and other quality management areas
- Battery — Charge/discharge analytics, lifespan prediction, and operational optimization
- Smart Factory — Predictive maintenance and equipment efficiency improvement
Industrial data is still significantly underutilized. TSLoom shortens the path from data collection to decision-making, turning data into operational value.
Architecture Overview
The Workflow Engine connects data ingestion, processing, inference, and visualization into a single pipeline. Designed to scale flexibly on top of distributed infrastructure tailored to operational environments.
Capability 1 — Diverse Data Connectivity
Unifies heterogeneous industrial equipment, IT systems, and cloud services in one platform. New connectors can be added at runtime via a plugin-based architecture.
Industrial Equipment Integration
- Industrial fieldbus protocol support
- Major CNC controller integration
- Industrial DAQ device connectivity
Data Infrastructure Integration
- Wide range of database integration (relational · non-relational · time-series)
- Cloud environment support
External System Integration
- Message-based communication and standard API integration
- Native integration with MES · ERP and other enterprise systems
- Plugin-based extensible ecosystem
Capability 2 — Real-Time Data Processing
Processes large-scale time-series data with the responsiveness and reliability that industrial environments require.
Processing Performance
- Low-latency, high-throughput data processing tailored to industrial environments
- Simultaneous real-time processing of multiple channels
Multi-Stream Integrated Processing
- Inline data transformation and aggregation
- Event-based triggers and routing
- Window-based statistical processing
- Hierarchical multi-source orchestration
Data Reliability
- Multi-stream timeline alignment
- Real-time outlier and missing-value detection and correction
- Lossless message ingestion
Capability 3 — High-Performance Visualization & Analytics
Visualizes large-scale data quickly and provides an interactive environment so operators can analyze and respond immediately.
Visualization Engine
- Accelerated high-performance chart rendering
- Real-time rendering of large-scale time-series data
- Diverse scientific charts (time-series · spectrum · heatmap, and more)
- Equipment status visualization and video stream integration
Dashboard Operations
- User-defined widget placement and customizable layouts
- Concurrent display of multiple data sources
- Dashboard saving · sharing · permission management
Interactive Analytics
- Threshold-based alarms and event log
- Time-series exploration (zoom · pan · range select)
- Data history lookup and export to common formats
Capability 4 — Edge · AI · MLOps Integration
Provides an AI operations architecture that combines edge and central environments. Model development, deployment, operations, and retraining are all handled within an integrated environment.
AI Model Development Environment
- Standard data processing · analytics · trigger nodes
- Algorithm support across multiple programming languages
- Multimodal data inputs
- Experiment tracking and version control
Edge–Central Tiered Inference
- Combines fast first-pass diagnosis at the edge with deep analysis in central environments
- Automatic data routing aligned with the operating environment
- Real-time monitoring of model performance metrics
MLOps Automation
- Automated pipeline from training to deployment
- Model versioning and catalog (Model Registry)
- Automated model performance monitoring
- Gradual rollout and rollback support
Capability 5 — Visual Workflow & Operational Automation
Design data flows on a no-code / low-code canvas and run them reliably on distributed infrastructure.
Workflow Design
- Drag-and-drop editor
- Single-canvas authoring: ingest → process → infer → visualize
- No-code environment accessible to non-developers
- Reusable workflow templates
High-Availability Distributed Infrastructure
- Dynamic node placement aligned with the operating environment
- Load-based automatic scaling
- Hot-swap node operations
Operational Automation
- Automatic failure response and continuous service operation
- Zero-downtime deployment and operational history management
- Real-time workflow status monitoring
Capability 6 — Enterprise Security & Regulatory Compliance
Designed to satisfy security policies and regulatory requirements expected in industrial, financial, and public-sector environments.
Access Control
- Role-based access control (RBAC)
- Enterprise authentication system integration
- Multi-factor authentication and API access management
Data Security
- Standard encryption for data in transit and at rest
- Sensitive data masking and anonymization
- Air-gapped on-premise deployment option
- Data retention policies and lineage management
Audit & Compliance
- System audit logs
- User activity tracing
- Security event alerts
- Backup and Disaster Recovery (DR) support