TSLoom

Distributed Industrial Time-Series Data Platform

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.

TSLoom business value overview

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.

TSLoom architecture overview


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.

Diverse Data Connectivity

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.

Real-Time Data Processing

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.

High-Performance Visualization & Analytics

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.

Edge · AI · MLOps Integration

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.

Visual Workflow & Operational Automation

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.

Enterprise Security & Regulatory Compliance

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
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