L&T Technology Services delivers a range of technologies, services & solutions across transportation, industrial products, telecom and hi-tech, process industry, and medical devices through Imagineering, Engineering & Adjacent Engineering. We have more than 8,000 engineers from nine nationalities serving over 200 customers, including more than 50 Fortune 500 customers. We leverage the strengths of our parent company, Larsen & Toubro, a leading Indian conglomerate in technology, engineering, construction, manufacturing and finance, which has provided us with a broad engineering and design heritage. We have been recognized as the Company of the Year by the Indo American Chamber of Commerce in July 2016.

Near-Miss Management LLC provides a uniquely effective, enterprise risk detection and advanced warning platform for the process and energy industries. Our approach is based on identifying near-misses, hidden in volumes of process data recorded in plants. Patented analytics rip through millions of data points to identify developing problems at very early stages and allow operating teams to avert unexpected failures through timely corrective actions. Described as 'disruptive innovation’ by customers, our methods are enabling proactive management to increase both safety and profitability. Our technology has been developed through years of research in solving common challenges faced by industrial facilities – providing us a unique expertise in risk management, near-miss management and big data analytics technology.

XpertRule is a global leader in Decision Automation solutions with a focus on the Industrial IoT. Our software combines Machine Learning with human expertise and deploys across the IoT ecosystem from the Edge, to Cloud and mobile device (for alerts and troubleshooting)

ionSign is a close-knit group of IoT enthusiasts: coders, engineers and developers. ionSign’s products are electronics packed with smart Embedded Software. They utilize cellular and LAN networks, field buses and RF technologies for collecting and transferring data from commercial and industrial settings. We work closely with system integrators and data analyst firms to provide end-to-end IoT solutions. Besides fitting many purposes straightaway, ionSign’s products provide a versatile platform for case specific device development. We provide it for you.

The Thing + Embedded Works offers a number of different sensors and Actuators so that the device can connect to the Internet. In collaboration with various partners HW enables customers to configure a set of desired unit.

PRINCEPS is an R&D intensive company. We have conducted a significant R&D effort in cooperation with academic organisations in Europe (PRINCEPS is the initiator and coordinator of several EU funded projects). Strong with more than 15 years field experience through planning and scheduling projects worldwide, we have developed an innovative software suite which introduces a new paradigm in this domain. Most importantly, PRINCEPS has developed over the years, a strong working partnership with its clients, which is at the foundation of its customer oriented culture. The Oil industry is one of the pioneers in the widespread adoption of optimization techniques. The term “Refinery optimization” has consequently evolved to become a multi-faceted concept. At an abstract level, refinery optimization is about getting the most from the existing assets; by extension, it can also refer to the most profitable investments in new equipment or new assets. This first distinction gives rise to 2 horizons of application to refinery optimization: long term, structural optimization, and short term operations optimization. Moreover, operations management itself can be addressed in a variety of ways, depending on whether the approach taken to refinery optimization is bottom-up, or top-down: The top-down approach is based on hierarchical optimization: the refinery optimization problem is addressed as a succession of optimization problems of different time magnitudes and granularities. The first problem is a mid-term planning problem and is concerned with the refinery as a whole and a time frame of one to several months. Subsequently, the time frame is subdivided into finer time intervals. At the lowest level, the theoretical goal is to achieve operations scheduling on a day to day basis. The bottom-up approach is one that starts with local problems and tries to aggregate them into a consistent solution at the refinery level. In contrast to traditional bottom-up approaches – which attempt to build an overall solution by aggregating local solutions – we start by achieving a feasible, “good quality” overall solution using our smart simulation engine. Then, guided by the consistent overall solution, we seek to optimize local operational challenges. Our innovative approach to refinery optimization takes account of 2 crucial facts: - Day-to-day operations are subject to uncertainty, - Regardless of the inherent formal difficulty of achieving an overall refinery schedule optimization, an overall optimized schedule is of little use. This is simply because an overall solution achieved that way is inherently unstable: the slightest change or unforeseen event means that the whole schedule must be rebuilt. And given the huge amount of inertia in such a large system, any sudden change of trajectory consumes an equally huge amount of energy. Under this pragmatic perspective, refinery optimization appears as the search for a maintainable globally feasible, locally optimized schedule. Optimization is applied to sub-systems where a high economic impact is achievable.

Prodsmart is real time process Tracking for production lines and job shops. We turn any production line into a digital Smart Factory. Our Manufacturing Execution System (MES) turns smartphones and tablets into sensors to collect process data directly from the shop floor, eliminating paper and providing real time analytics that allow for waste reduction and efficiency improvements. Paperless manufacturing is a longtime sought opportunity. We provide it.

Overview & Value Proposition: L&T Technology Services delivers IoT applications across the lifecycle using home grown and third party frameworks, platforms and accelerators. We engage with our customers to contribute in their IoT and M2M strategies and roadmap; develop, deploy and commission business ready M2M applications; integrate these applications to enterprise or cloud; implement custom or commercially available IoT/M2M platforms; and enable sensing capabilities on their custom or off the shelf hardware. We aim to strengthen our position in digital engineering through investments in IoT, M2M and Smart Manufacturing technologies or through acquisitions in product software, Embedded Software and computing. We focus on building a portfolio of solutions-oriented engineering services that can be applied across verticals. As part of this strategy, we closely follow the technology trends in the ER&D industry and have focused on key technology areas that we believe will impact the various verticals in which we operate. These key technology areas include digital engineering, mobile internet, IoT (IIoT, mBIoT), automation of knowledge, advanced robotics, autonomous and near-autonomous vehicles, energy efficiency and imaging and video. We intend to focus on solutions in these areas and build cross-domain solutions that can be applied to the businesses of our existing and prospective customers across verticals that could help drive non-linear revenue growth for the company. In order to execute this strategy, we are also building and strengthening our alliances with technology companies. We aim to develop industry-specific use cases for such solutions and then customise these solutions as per the specific requirements of our customers. We have developed mature IoT solutions such as UbiqWeise™ and iBEMS™ in emerging technology areas to support our customers. For example, one of our construction industry customers, who has various types of construction equipment and machinery spread across global project sites, collects operational data on a near real-time basis, which is then sent to a cloud platform. The data is then processed using applied analytics on our UbiqWeise™ platform to provide insights on information such as operational efficiency and Preventive Maintenance schedules. For another customer, we provide smart services solutions in process improvement, waste reduction and improvement in yields. Our solutions are aimed at addressing specific problems by introducing advanced sensors and analytics technologies to detect anomalies at an early stage of production. As a result, our solutions enable reduction of the rejection rates of the products. IoT Labs We have entered into alliances with several IoT players. For example, we established a joint IoT lab with a global network solutions provider to explore opportunities in transportation, manufacturing and smart cities. We have set up a Smart Manufacturing lab has been set up to address difficulties faced by process and discrete manufacturing plants, as well as to develop and integrate intelligent automation solutions for Smart Manufacturing. These manufacturing areas include process optimization, smart utilities, connectivity and mobility, Tracking quality checks, touchless operations, OEM integration, and smart machine controls.

Dynamic Risk Analyzer™ (DRA) has been proven to improve safety, reliability, and on-stream efficiency in industrial plant operations. It delivers actionable, early indicators of process issues – typically days and weeks before the alarms go off. What makes it unique is our distinctive, patented approach of identifying hidden near-misses™ in the process data. This enables the operating teams to avert problems just when they are beginning to form, to plan Predictive Maintenance, and to achieve ultimate safety and bottom line. Reduces Unexpected Shutdowns and Process Failures - DRA is designed to uncover hidden problems, so you can stay focused on finding solutions, not hunting for problems. Increases On-Stream Efficiency and Capacity Utilization - DRA provides peripheral vision on issues developing on the sidelines, enabling you to address new risks and their drivers. Improves Process Safety and Reliability - What makes DRA unique is its ability to rip through the entire spectrum of process data, uncovering problems, long before humans or alarms can.

Decision Automation for Industrial IoT - including: Complex Decision Authoring Edge Decision Analytics Event Stream Processing Anomaly Detection Process Optimisation Open and Closed Loop Control

Data acquisition devices for IoT & Big Data applications form the backbone of our products. Energy management is an especial core competence, for which we have advanced solutions. ionSign is platform agnostic, our products communicate to your bespoke data system, or the commercial cloud of your choice - MS Azure, AWS, Bluemix, or our own ionSign Cloud.

PRINCEPS’ scheduling technology represents a technology leap through a variety of innovative features, such as: - The capability to dynamically modify events during simulation, making a schedule self-adjust its events to the simulation results - Schedules and models archiving and “versioning”, merge different branches from different users, or rolling back schedule changes as needed - Smooth and continuous transition between model versions within the same schedule

Industry 4.0 is the technological movement that represents the next phase of manufacture industries which results in a full Digitization of productive systems, connecting machines, people and processes. One of the main goals of Prodsmart is to catalyze Industry 4.0 through the mass adoption of the systems that allow all this movement to happen. We speak directly to the people within the organisation and we empower them. We provide them the ability to make quick decisions, short and autonomous software-implementation processes, with a quote and service level adjusted to their needs and level of usage. But Prodsmart’s relationship with people doesn’t stop here: we are a layer of virtual automation which transforms any production line into a smart digital factory, bringing the people, the processes and the machines together, converting the operators into knowledge workers and aiding the managers to take informed decisions. We feel that the concept of Industry 4.0 is deeply broken by leaving the people behind. It is too focused on machines and data and less focused on information, processes and people. However, the majority of the manufacturing landscape is comprised of very small businesses, which do not have access to the level of sophistication that’s being discussed. The role of the people is extremely important in manufacturing SMEs. We do believe that in a world that is becoming more and more digital the most important element in technology is the people and this is reflected in the way we approach and engage with our current and future users.

Hosokawa Micron Diageo Arneg

Macgregor, Enersize, Enegia Group, Idolo, Ekeri

Bayernoil, BP, Total, Saudi Aramco

BySteel, Science4You, J3LP, Sonafi