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Litmus価格

プランと価格

Making IIoT More Accessible from Day One

あらゆる規模の製造業がエッジ、クラウド、またはその両方に迅速に導入、拡張できるよう柔軟なパッケージとなっています。拠点数とデータポイント数に応じた価格設定で、 ノード数無制限。 詳しくは営業までお問い合わせください。

Foundation

生産現場のデータをより活用したいと考えている企業向け。

Foundationには、以下が含まれています

Growth

エンタープライズスケールでデータをもっと活用したいと考えている企業向け。

Foundationに加え、以下が含まれています

Scale

高度なエンタープライズスケールでの管理とデジタルツインのような機能を求める企業向け。

Growthに加え、以下が含まれています

代替となるコストモデル

Litmusは、エコシステムソリューションおよびサービスプロバイダーからのお問い合わせを歓迎します:

  • ゲートウェイやハードウェアOEMは、ハードウェアとソフトウェアを組み合わせた(ホワイトラベル)エッジ・コンピューティング・ソリューションをすぐに提供したいと考えています。
  • Litmusのプラットフォームでインダストリー4.0のユースケースを構築したり、サービスを提供したいと考えているリセラー、SI、コンサルタント、ソリューションプロバイダー。
  • クラウドサービスプロバイダーやAI/ML企業は、OTデータ収集のエッジプラットフォームをOEMし、全体の一部として提供したいのです。

Litmusのプラットフォームを理解し、オプションを検討するためには、このフォームからお問い合わせください。


プラン比較

Foundation

Growth

Scale

ダッシュボード

System Statistics

Dashboard contains overall stats about the entire network of OT assets and is completely offline.

Plots + Graphs

Preset charts showing live trends on CPU utilization, memory load and network utilization.

デバイスハブ

Industrial Connectivity

Nearly 300 drivers and protocols to connect to any OT asset: PLCs/DCS, robots, CNCs, sensors, historians, SCADA, Excel, flat files and more.

Data Collection

Automatically convert any raw industrial data collected into a standard JSON format.

Data Contextualization

Industrial data collected is enriched with user-defined metadata for more context.

Basic Data Modeling

Leverage the standard data model created for the PLCs or build custom models on top as needed.

Architecture

Distributed architecture for mass processing (not a single point of failure).

データハブ

Edge Data Storage

Fully integrated one-click timeseries data storage at the edge. Data can be stored for up to 168 hours.

Edge Metadata Management

Complete metadata management for industrial data collected. Add Asset, Line, Site and more as required for data-consuming applications.

Edge Message Broker

Native message broker isolates IT and OT systems and allows Pubsub to scale parallel data processing.

Store + Forward

Buffer data in the event of a broken connection between the edge and any destination system. Transmit buffered data upon reconnection.

External Data Storage

Connect to external relational database or any modern database of choice.

フロー・マネージャー

Edge Workflows

Easy-to-create drag-and-drop workflows, powered by Node-red.

Data Transformations

On-the-fly transformations using statistical and mathematical functions.

Alerts, Events + Triggers

Trigger actions and notifications via email or SMS. Create simple dashboards and operator inputs.

アナリティクス

Key Performance Indicators

Real-time and historical processing to calculate 35+ different KPIs such as OEE, statistical prediction, FFT, anomaly detection and custom code. Flexibility to bring custom scripts.

Machine Learning

Create, manage and run trained ML models inside Analytics.

Statistical Functions

Built-in statistical functions – anomaly detection, moving window, Gaussian filter, Statistical prediction and more.

アプリケーション

Marketplace

Deploy third-party applications available, list your own Docker applications and keep them in sync with the residing server.

Containers

Manage Docker containers for deployed applications in your marketplace catalogs.

SparkplugB Connectivity

Integrate Litmus Edge as an end-node into existing SparkPlugB-based solutions on the plant floor.

File Services

Built-in FTP server, CIFS, disk monitoring and policies.

Developer Services

SDKs, Rest API and Data API access to Litmus Edge and Litmus Edge Manager.

デジタルツインズ

Create + Import Models​

Create a new model or import a model as a JSON file.

Manage Models

Change or update models, filter and search models, export models or clone them.

Add + Manage Instances

Create instances that are inherited from the models. Instances contain static and dynamic data.

統合

Enterprise Connectivity

30+ prebuilt connections to integrate to IT and business systems, including Cloud (Microsoft Azure, Google Cloud Platform, AWS), Kafka, Splunk, SQL, MES, REST APIs, SIEM, databases and more.

OPC UA

OPC UA Server

Fully integrated OPC-UA server to provide OT systems with raw, analyzed, ML or cloud-received data.

デプロイメント

Flexible Deployment Models

Baremetal OS, VM (Esxi, Hyper-v, VirtualBox) or Container.

ベアメタルOSとVM

ベアメタルOSとVM

ベアメタルOS & VM + コンテナ

ARM64-Based Deployment

Deploy as a container on ARM64-based hardware. For foundation and growth, limited pre-built images are available upon request. These plans do not include ARM64 containers.

Secure or Custom OS Deployment

Deploy as an application within existing IT- or security team-approved Redhat based golden-image. This allows edge deployment to comply with custom OS monitoring and maintenance tools.

Red Hat Enterprise Linux

セキュリティ

Design

LINUX-based, hardened security, role-based access control.

SIEM

Integrate with a SIEM solution.

集中管理

Lifecycle Management

Central lifecycle management for all edge nodes. Remote configuration, OTA updates, remote monitoring and license management.

Remote Backup + Restore Management

One-click backup and restore of any edge node.

Deployment Templates Management

Create fully customizable node templates and quickly scale out use cases across various line and plants.

Remote Access

Access any field instance of Litmus Edge through the UI remotely to troubleshoot and configure.

Centralized Data + Dashboards

Drive centralized dashboards with data from Litmus Edge instances. Powered by Grafana.

Application Orchestration

Create private marketplaces and deploy containers, apps and ML models to the edge.

Administrative Portal

Manage all projects and backend services with a secure admin portal powered by Redhat Keycloak.

Central SIEM Integration

Forward Litmus Edge Manager logs and events to a central existing SIEM system.

Kafka Message Broker

Built-in Kafka message broker access for centralized data access across all Litmus Edge nodes and projects.

Digital Twin Orchestration

Manage and deploy digital twins in a central location.

スタンダード

以下を含む

Foundation、GrowthおよびScaleの各プランに含まれる

強化された

強化されたすべてに加え

Foundation、GrowthおよびScaleの各プランで、ご要望に応じて

プレミアム

強化されたすべてに加え

Foundation、GrowthおよびScaleの各プランで、ご要望に応じて

Litmusで結果を

インダストリー4.0を実現した製造業、グローバルブランドとして名を連ねてください。

Smart industry robot arms for digital factory production

"20/80の逆転 - 問題の把握に80%、実際の解決に20%の時間を費やすのではなく、今はその逆が一般的なのです。"

FAQ

What is a "site"?
  • A site has at least one instance of the Litmus Edge software deployed and is either:
    • A physical location (e.g., an oil rig, or 5 CNC machines located on a single factory);
    • A physical building (e.g. multiple buildings at a location such as 5 separate customer buildings for manufacturing or warehousing which are all in one location);
    • A remotely located isolated asset (e.g., an immobile asset such as a compressor or group of compressors at single physical location, or a mobile asset such as a truck or heavy construction equipment); and/or
    • Asset OEM’s customer sites (e.g., where an OEM sells to a boiler manufacturer, and said boiler manufacturer bundles the products and sells them to an end user – each end user location in this scenario would be considered a site).
What is a "data point"?
  1. Raw data tags from PLCs (all array tags are counted towards multiple tags depending on the size of array).
  2. Derived data points (from Litmus Edge Flows).
  3. Analytics data points (from Litmus Edge Analytics).
  4. ML data points (from Litmus Edge Analytics).
Are data tags from "child" PLC devices counted as "data points"?

Yes.

Are "counts" in some PLC models counted as "data points"?
Yes. Size of the array will be counted towards multiple tags. Example: Count = 5 (or Array = 5) will be 5 data points.
Are data points collected from dockerized applications running within Litmus Edge counted as "data points"?
  1. If data stays inside the application, then it is not counted.
  2. If data from the docker application is pushed to the Datahub message broker for routing/Analytics/Flows/integration purposes, then it is counted.
In terms of packages, how will clients be migrated from "Foundation" to "Growth" or "Scale" - or from "Growth" to "Scale" - during an annual subscription term?

It will be done on a pro-rata basis. For example, if, within a 7-month (of 12-month) period, a client wishes to migrate from Foundation to Growth, the client will be charged the difference between the monthly rate of Growth and Foundation packages for the remaining 5 months of the year. And from the following year, the client will be charged the full Growth package price.

What if I'm a smaller business or just getting started?

We know that one size doesn’t fit all so we try to be flexible to meet your needs. If you’re not ready for the Foundation package, we also offer a Starter package with a single node and limited integrations and functionality.