TIEMAC Applied Artificial Intelligence for Business (TAAIB)

All in one platform to setup Digital Twins, run Simulations with live streaming and historical data and use the data in AI/ML models to gain actionable intelligent insights

TAAIB - simulates your systems and processes using your data to find actionable insights for business improvement

TAAIB - uses structured and unstructured data to feed AI/ML models, including Generative AI models to find actionable insights

TAAIB Digital Twin Platform - creates a virtual representation of systems that is updated in real-time with streaming data from sensors in your operations


Delivering actionable insights into processes using Digital Twins infused with ML/AI 

  • Illustration

    TAAIB is built on the industry 4.0 standard Asset Administration Shell (AAS), with the opensource middleware BaSyx, providing a platform that gives a Digital Twin of an IoT network around a process or system. Real time streaming data from IoT devices is combined with historical data that are then piped into machine learning (ML) models developed for each unique process or system to provide actionable insights for process optimization, forecasting and development.

  • Illustration

    TAAIB provides customers a platform for proof-of-concept testing that enables them to adopt an end-to-end approach, using a Digital Twin framework, to cost effectively evaluate Artificial Intelligence, including Generative AI and Machine Learning (ML) models, on their operations, existing investments, and upgrades. This approach is effective to determine how and quantify the potential benefits to accrue to an organization and how such AI models will achieve desired business objectives.

Advantages of TAAIB


Digital Twin Modeling

Tiemac’s TAAIB allows companies to, quickly and without the need for programming, setup Digital Twins, using the Asset Administration Shell (AAS) as part of TAAIB’s inbuilt customized deployment of BaSyx, integrated with Node-Red, Eclipse Streemsheets, Grafana, MongoDB and InfluxDB. 
The established Digital Twins are then incorporated in a Simulation framework to aid operators find intelligent insights on how to increase productivity, improve workflows and design new products. By simulating a production process, for example, manufacturers can test changes to the process to find ways to maximize uptime or improve capacity.


Machine Learning & Gen AI Modeling

Tiemac's TAAIB provides Machine Learning as a Service model. Before you commit to large scale AI, ML and IoT projects, we are your first engagement to test your projects in a pre-role out phase, to enable you to make the right decisions before making significant capital investments.
Tiemac's TAAIB facilitates the building of virtual AI, ML and IoT labs, where we provide all the services, infrastructure and expertise to give you actionable insights.
The TAAIB platform provides for Generative AI modeling, which can “learn” and broaden the scope of prompts and output from TAAIB. The Simulations run by Digital Twins, allows for fine-tuning of Gen AI, enabling it to conduct predictive modeling, as opposed to the primarily backward-looking view that most LLMs provide. The inbuild constraint engine can validate Gen AI capabilities and boost Gen AI accuracy by limiting answers to only feasible regions, helping answers from Gen AI adhere to physical limits or other constraints that results in small LLMs.

AI/ML Consulting

Tiemac's TAAIB consulting support allows you to work with us to look at potential projects you are considering. 
Tiemac's TAAIB consulting is about helping you on the journey to finding what potential areas and or projects your organization should engage around to get the best outcomes for Digital Twins, AI, ML and IoT implementations within your organization.
Our approach means that you do not need to engage developers and or undertake extensive coding and development. The TAAIB platform and our consulting approach provides these as part of our offering.

Perceptive augmentation

Tiemac's TAAIB solution gathers, analyses, and combines various data streams in real time to bring quick benefits operationally. 
Tiemac's TAAIB facilitates the building of virtual sensors to match operational realities.
Industry 4.0 provides a digital transformation framework, and this allows companies of all sizes to create Digital Twins that are virtual replicas of processes, production lines, factories, machines and supply chains. A digital twin is established by feeding data from IoT sensors, devices, PLCs and other objects connected to the internet. 

Intelligent controllers

Tiemac's TAAIB provides enhancing capabilities to controllers, such as linear and non-linear Model Predictive Controls (MPCs) or fuzzy systems, with the use of virtual models of processes through digital twins. 
The digital twin of the process enables search for controller’s optimum parameters, leading to more stable processes. This leads to achieving higher production and quality levels or decreasing energy consumption.

Data Engineering

Tiemac's TAAIB Data Engineering Services is a collaborative approach to leveraging your organization's data assets. 
We collaborate with you to identify and leverage your big data, perform exploratory data analysis (EDA), and Extract, Transform and Load (ETL) to build data warehouses for your AI/ML and IoT projects.

Adaptive Dynamism

Actionable processes are generally by nature nonlinear and time-varying: Actions taken in the past that were optimal to achieve specific goals may be suboptimal or even inefficient for the current state. 
Tiemac's TAAIB with its ML models continuously adapts to changing conditions in search of optimal operating parameters and targets leading to optimization goals.

Supports Industry Standards

Given that Tiemac adopts BaSyx as its foundational middleware in TAAIB, the TAAIB platform conforms to industry standards such as: 
● The Asset Administration Shell standardized IEC 63278-1 ED1. ● Functional Mockup Interface (FMI) standard use in building out TAAIB's Simulations. ● Semantic annotations, e.g. conforming to ECLASS and/or IEC CDD IEC 61360-4.● Messages exchange using protocols based on ISO/IEC 20922:2016. ● Integration of communicating manufacturing assets using protocols based on IEC 62541.

Scalability and Ease of use Built in

The TAAIB platform provides a robust and scalable infrastructure for digital twins, AI/ML modeling, and integrate numerous applications that support many kinds of digitization and AI/ML tasks. This includes components to create, monitor, and host Asset Administration Shells (AAS), integrate them with their real-world assets and provide easy-to-use dashboards. 
TAAIB uses Eclipse BaSyx Data Bridge that provides connection to AAS with assets to create Digital Twins that always represent the asset state, and optionally enables controlling of assets and processes. TAAIB, with its simulation module, also uses a bespoke implementation of Eclipse BaSyx AAS Web UI for visualization of AAS out of the box.

Applied Intelligent Solution for Business

Digital Twin infused with AI/ML for process optimization

Tiemac provides a cloud-based platform with a Digital Twin approach, built on IIoT, seamlessly integrated with AI/ML technologies, giving organizations an enabling simulation tool to be used to improve industrial operational efficiencies and profitability.

Want to learn more?

Tiemac offers a pilot program where we will deliver an end-to-end TAAIB pilot solution. The TAAIB platform allows organizations of any size to perform essentially two tasks:
1. Use Digital Twins to simulate real-world systems for predictive maintenance, forecasting, process optimization, and improved customer responsiveness.2. Use the data from the simulations to (a) develop AI/ML models, including Generative AI models, (b) conduct A/B testing with real-time comparisons to existing operations.



TCOMT Corporationdba Tiemac4610 Tilly Mill Rd, Atlanta, GA 30360


Office: + 1 (770) 799. 8133Local: + 1 (470) 659. 1299Email: smoc.noitaroproccameit%40troppu 

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