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Invixible

Posted on by Keshav Kumar

Invixible is founded by the industry leaders in IoT, they work for the customers as Trusted advisors to ensure they have the capabilities — the strategy, systems, tools, digital skills, solutions, and technology — to realize their digital vision.

solution: Air Quality Management Solution

A world-leading air purifier manufacturer from Denmark needed to make their hospital-grade air purifiers smart to gain insights for more informed and intelligent management of air quality in their customer’s facilities. Invixible’s Xelerate platform, together with Cumulocity IoT’s comprehensive device management and alarms management features are facilitating this customer with a state-of-the-art platform where they can organize monitor, and manage their air purifiers being deployed in end customer’s premises. The future roadmap includes integration with end customers’ BMS systems and leveraging AI and ML for smarter air quality management.

Challenges

  • No insights from currently deployed Air Purifiers
  • Integration with BMS solutions
  • Central and Universal Platform for Asset inventory
  • Lack of invaluable air quality insights that can be generated from these units

Solution

  • Bespoke device with an elegant display built for each air purifier unit
  • Data uplink with Cumulocity IoT
  • Xelerate frontend for comprehensive reporting, visualization and management of inventory

Benefits

  • Healthier air quality index in facilities
  • Better health and safety environment
  • Reduced operational cost for appliances
  • Remote monitoring and control of assets
  • Better conformance to regulatory standards

Contact:

Contact Name: Fahad Aijaz

email id: fahad.aijaz@invixible.com

website: Invixible

Solution Assets:

Cotham Technologies

Posted on by Keshav Kumar

Cotham Technologies’ FloPro rapid mobile app development platform extends self-service application development resulting in high-impact amplified mobile user experiences. Pre-integrated to Cumulocity IoT. FloPro provides enterprises with a canvas for developers to create best-in-class native apps that blend and extend server-side services into the mobile realm.

solution: FloPro rapid mobile app development platform

Industrial workflows and processes require complex integration. Rapid evolving environments require rapid solution adaptation. Solutions consulting requires rapid custom design. FloPro provides a rapid assembly of complex, custom native apps without coding. Integrating with Cumulocity IoT and assisting to customize, trial, and deliver custom-fit IoT companion apps.

Challenges

  • Demand for mobile app solutions (B2B, B2C,
    and B2E) outstrips supply
  • Typically, no development team with the requisite technical skills or availability of resources
  • Lack of focus on building and maintaining the required mobile apps using common development tools
  • Restricted utility and capacity for innovation
  • Management of outsourced development projects

Solution

  • FloPro makes it simple to build apps reducing the development time by as much as 90%
  • FloPro is a cross-platform build once deploy many platforms solution reducing resources
    and costs.
  • FloPro enables mobiles app to be built that have integration with local devices through Bluetooth and this data can be shared with and analysed by Cumulocity allowing customers to build apps that provide a holistic view and management of smart sensor and devices

Benefits

  • High impact apps enabling productivity and operational gains for field operations and
    front-line workers
  • Provide the digital canvas for non-developers to rapidly create self-service innovative applications
  • Enhanced app UI/UX pre-integrated to Cumulocity IoT
  • Maximizing data flow management from the edge to the cloud driving predictive analytics
  • Galvanize Intuitive apps that enhance usability and customer experience

Contact:

Contact Name: Raman Mistry

email id: raman@cothamtechnologies.com

website: Cotham Technologies

Solution Assets:

IBM

Posted on by Keshav Kumar

IBM is a leading technology MNC offering computing hardware, enterprise software and consulting services around hybrid cloud, automation and AI.

Solution – Integrated Load Management Solution for Grid Operations

Electrification to meet the climate target by 2050, causing massive changes to energy grids worldwide. There’s a need to proactively manage the power flow and predict outages. This requires a highly flexible data acquisition solution with a specific focus on the low-voltage range, capability provided by Cumulocity IoT. AI models incorporating IoT data hosted in IBM Watsonx.ai can help predict the failure in advance giving load manager time to react and manage. ML model integrated with a Gen AI chatbot can help query operations info, and provide guided operations recommendations to load managers.

Challenges

  • Increasing ectrification causing massive changes to energy grids worldwide. There’s a need to proactively manage the power flow and predict outages.
  • Need to manage millions of sensors and data profiles in real-time
  • Due to the small scale and the large numbers of DERs as well as the weather dependency, large fluctuations can occur in the grid, which need to be managed.
  • Utilities are forced via regulations to manage highly volatile electricity loads with high local granularity at all voltage levels and millions of connected distributed energy resources (DER)

Solution

  • A highly flexible data acquisition platform with a specific focus on the low-voltage range which can manage real time time data comprising of varying data profiles
  • Holistic AI models incorporating such IoT data with varying profiles predict the failure in advance giving load manager time to react and manage situation
  • ML model integrated with a Gen AI chatbot in Cumulocity platform can help query operations info, provide guided operations recommendations to load managers

Benefits

  • Existing network can be utilized better
  • Flexible tariffs can be handled
  • More load stations can be connected
  • Network resilience increases
  • With Gen AI capabilities productivity of front line workers can be increased significantly and increases the quality of decisions which can be made

Contact:

Contact Name: Dr. Jörg Klose

email id: Joerg.Klose@de.ibm.com

website: IBM

Solution Assets:

Findustrial

Posted on by Keshav Kumar

As a strong partner in the implementation of pay-per-use solutions, we strengthen our customers’ know-how with our global ecosystem on our Findustrial platform and support the establishment of usage-based business models for every industrial company.

Solution: IoT-based EaaS & Financing Platform

Independent platform is a configuration, pricing, quotation, and billing engine for usage-based business models. The perfect assistant for all stakeholders: Asset manufacturers, asset users, and financing partners.

Challenges

  • Asset users are seeking innovative ways for efficient and low-emissions technology investments.
  • Asset manufacturers are seeking additional sales potential and competitive advantage.

Solution

  • With usage-based pay-per-use financing or equipment-as-a-service models asset users invest in climate-friendly and highly efficient technologies and at the same time protect their liquidity Their variable cost structure is proving to be more lucrative than the fixed financing models of the past.
  • Findustrial platform for the Cumulocity users help to find their next financing or EaaS partner with ease.

Benefits

  • Easy financing solutions for asset users.
  • More business for asset manufacturers.
  • Straight forward and seamless user journey. IoT data without any detours.

Contact:

Contact Name: Julius Klemkow

email id: julius.klemkow@findustrial.io

website: Findustrial

Solution Assets:

Posted on by Keshav Kumar

Flowcate

Flowcate is a company passionate about geoinformatics, and positioning systems, and offers location-based software as a service that transforms location data into added value for users.

Solution – Asset Tracking with unified locating platform

The DeepHub® by Flowcate, is a locating-middleware that enables a seamless tracking of all moving things in intralogistics, like forklifts, palettes, equipment, and humans. It allows for an easy integration of all indoor positioning technologies –  from all vendors – via a lightweight API. The DeepHub is compliant with the open locating standard omlox. Cumulocity consumes location-data and telemetry data via the DeepHub and visualizes real-time movements.

Challenges

  • Easy access to location data indoors
  • Integration of broad range of locating technologies and vendors.
  • Vendor lock in with vertically integrated technology vendors
  • Complex integration and not standardized data formats
  • Seamless monitoring of equipment and optimization enabled by location data

Solution

  • Cumulocity connected DeepHub via omlox-compliant API
  • omlox & DeepHub offers homogenous data for business analytics
  • Holistic overview of asset movements, energy consumption and much more
  • Single omlox API to consume location data fused with telemetry data

Benefits

  • No vendor dependency
  • Saving of integration costs and resources
  • Interoperability and flexibility among indoor locating hardware & software solutions
  • Single, lightweight and standardized API Lower total cost of ownership

Contact

Contact Name: Dr. Matthias Jöst

Email: Matthias.Joest@flowcate.com

Website: Flowcate

Solution Assets

Boon Logic

Posted on by Keshav Kumar

Boon Logic is a pioneer in the field of artificial intelligence, driven by a mission to enhance human intelligence through cutting-edge technology. Their patented nano-clustering technology has revolutionized unsupervised machine learning, simplifying and accelerating AI development and deployment, particularly in the domains of visual inspection and preventive maintenance.

Solution – Amber- AI Anomaly Detection with nano clustering technology

Amber is Boon Logic’s AI-based predictive maintenance solution based on unsupervised machine learning. Amber is self-configuring, runs on commodity servers or in the cloud and trains a unique, high-dimensional model for each asset providing unparalleled predictive accuracy. Amber has become the first AI-based predictive maintenance tool that can easily be used by plant staff to create accurate and reliable models for predicting equipment failure and identifying its causes. Amber doesn’t require knowledge of machine learning. Instead, production managers and reliability technicians simply connect Amber to each asset’s sensor telemetry and allow Amber to take it from there and build a unique predictive model for that asset.

Challenges

  • AI-based solutions generally require high levels of machine-learning expertise to implement
  • The increasing volume of equipment data requires large cloud-computing architectures
  • To address the sheer number of assets in an environment, one has two options: creating generic, “universal” models or reducing the number of assets they will monitor.
  • The complexity and volume of data, along with the computing power needed to process, results in long data engineering and model training cycles

Solution

  • Amber is a machine learning tool purpose-built for reliability and process engineers, who lack AI expertise but are experts in operations
  • Amber is extremely efficient, allowing large volumes of telemetry to be consumed and monitored with minimal compute needed
  • Amber factors in the unique nature of each individual asset, creating distinct models of each of them for optimized accuracy and sensitivity
  • Amber reduces the complexity and time to deploy asset-specific models for your operational environment using a simple 3-step configuration process

Benefits

  • Amber democratizes machine learning for companies lacking data science expertise
  • Amber’s computational efficiency reduces cloud costs commonly associated with the deployment of AI workloads
  • As each asset has its own fingerprint/model tailored to its unique operating environment, Amber delivers better accuracy and sensitivity for earlier detection while greatly reducing false positives.
  • By reducing the complexity and time to deploy, Amber allows more models to be built to increase the asset coverage of predictive maintenance.

Contact:

Contact Name: Tom Goris

Email id: tom@boonlogic.com

website: Boon Logic

Solution Assets