TCS Innovation Labs

TCS’ flagship research center, TCS Innovation Labs - TRDDC was established in 1981, when IT had barely emerged as an industry. Today, TCS has a global network of Technology Labs, Domain Labs and Academic Alliance Labs that provide an environment for sophisticated IT research in leading-edge technologies as well as in various domains.

Our labs are connected to academic research centers of international repute for various collaborative research projects. Our labs are customer aligned and metrics driven. A number of innovative solutions emerging from our labs have won national and international awards.

Technology Labs

Domain Labs

Academic Alliance Labs

Technology Labs

TCS Innovation Labs - Pune (TRDDC)

Research Areas:

Cyber Physical systems | Human Systems | ICT systems | Applications and Systems Testing | Developmental methods for analytics solutions | Enterprise Integration | Human Centric System Analysis and Design | ICME | Model-driven Enterprise | Requirements Engineering | Systems Evolution and Transformation | V&V for Embedded Systems | Services Research and Innovation | Computational Life Sciences | Computational Materials Engineering

The research groups in Pune work on:

Software Engineering:

  • Software tools: Tools for software lifecycle, Test management and maintenance that can automate and improve quality of applications
  • Adaptive and agile enterprise systems

Zero defect software has made significant contributions to reengineering assignments, large mission critical project development, product development for the verticals, embedded software development, checking programming standards, and requirements specification. This has been possible due to the philosophy of developing our meta-tools for modeling, program analysis and transformation, and building on the available tools for constraint solving, model checking, and so on.

Process Engineering:

  • Green Initiatives: Iron ore slimes, High ash coals, Sustainable manufacturing, Green data centre
  • Integrated Computational Materials Engineering: ICME-AHSS, ICME-Gear, ICME-stamp, Materials informatics
  • Advanced Materials: Nanoparticle production, Flame reactors, High energy milling , Nanofluids , Nanocoatings , Polymer processing , Polymer nanofibres
  • Health Care Initiatives: Drug release through polymer hydrogels, Polymer scaffolds for tissue engineering , Materials for surgical devices , Biosensors

Systems Research:

This research group addresses some of the most challenging issues in designing and optimizing large-scale systems such as:

  • Large-scale IT systems such as data centers of large enterprises
  • People systems such as the workforce of a service provider
  • Complex engineering systems such as a thermonuclear reactor or a multi-antenna telescope

Research activities, here, are inter-disciplinary in nature involving the broad areas of algorithms and optimizations, machine learning, networks, distributed systems and operating systems. The lab collaborates actively with many academic institutions, start-ups as well as strategic alliance partners in several technology areas.

Applications Research:

Computational Life Sciences:

The focus of the Life Sciences, R&D group at TCS Innovation Labs - Pune includes:

  • Computational methods in life sciences
  • Algorithms for metagenomic data analysis
  • Human microbiome and health
  • Systems biology of tuberculosis
  • Compression algorithms for Next Generation Sequencing (NGS) data



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TCS Innovation Labs - Bengaluru

Research Areas: Cyber Physical Systems | ICT Systems | Human Systems

TCS Innovation Lab, Bengaluru, focuses on Cyber Physical Systems (CPS) involving technologies for distributed multimodal sensing, communications, monitoring and control. It aims at conducting integrated research programs to create multi-disciplinary innovations in “Intelligent Systems of Things” toward building intelligent facilities and infrastructures.

Research areas include the following:

  • Sensor Informatics and Fusion
  • Computer Vision and Spatial Intelligence
  • Augmented Reality
  • Model Driven Security for IoT
  • Health & Wellness
  • Security & Privacy

Sensor Informatics and Fusion

  • Smart Meter Informatics 
    We perform multi-resolution analysis of smart meter data to provide insights about individual load characteristics using data disaggregation techniques, appliance prognosis, non-obtrusive activity monitoring.
  • Big Small Data  Analytics  for IoT
    In general, IoT data is a large set of high dimensional ‘small’ data in terms of atom size and incompleteness in representing the underlying observed phenomena. 
  • Vehicular Accelerometer for Driver behavior analysis
    Our solution helps gather intelligence on road and vehicle conditions as well as driver behavior, from  a minimal sensor system (GPS and Accelerometer) on a telematics box or a smartphone. An aggregate driving behavior model  is used to analyze the data
  • Bio-signal informatics for Wellness and Selfcare
    We can derive insights on human physiological states using wearable sensors and models from systems biology.  We have also  relied on related concepts from traditional medicine systems are leveraged for Wellness and Selfcare

Computer Vision and spatial intelligence

  • Infrastructure Monitoring based on Low-altitude Image Analysis
    This involves object recognition, anomaly detection, damage estimation and summarization from low altitude aerial images (UAV) for civil infrastructures and geographic structures.
  • Hyper spectral image analysis and knowledge modeling for physical systems
    This includes Object/region detection and classification using hyperspectral imaging, building semantic knowledge models, multi-modal data fusion (from satellite, aerial, LIDAR)

Augmented Reality

  • Augmented reality based Human assisted remote sensing& Inspection
    We are working on assisting human in the field remotely to perform data collection and inspection tasks using multi-modal augmented reality and Gamefication
  • Visual navigation and Spatial Intelligence for Unmanned Systems
    We use  visual navigation and spatial intelligence through  heterogeneous spatial sensing, motivated by the current understanding of the human cognitive processes.

Model Driven Security for IoT

  • We are working on system models and frame work to enable effective threat analysis and risk estimation for IoT Security

Health & Wellness

  • Here we investigate pulse acquision and analysis for a holistic and integrative approach that includes concepts from tradiotional medicine for health and wellness.

Security & Privacy 

  • Security and Privacy Preserving Computations - efficient searchable encryption algorithms based on homomorphic encryption and enable cloud data privacy and secure multiparty computations. IoT security Analysis and Monitoring using graph models -   for fault detection, anomaly detection, self-healing, optimization, visualization, and risk based security analysis.

Solutions and Tools

  • Power Prism
    Appliance level energy insights based on Disaggregation of Smart Meter data applicable to homes and buildings
  • MART (Mobile Augmented Reality App)
    A Smart Phone based remote inspection/assistance system leveraging AR
  • CryptoLib (ThingsCrypt)
    Lightweight crypto algorithms including Identity Based Encryption, Attribute based Encryption and Searchable encryption
  • StressVisor
    Application for human stress level estimation from ECG and PPG
  • myDrive
    Analysis tool for Vehicle Driving behaviors
  • LandUse
    Analysis tool for landscape and urban space using satellite and aerial imagery
  • GRASP 
    Graph based Risk Analysis of Security and Privacy for IoT SystemsPower Prism: For non-intrusive load monitoring for home


CTO - Networks Lab

CTO-Networks Lab is co-located with Innovation Labs, Bangalore. The main objective of this lab is to understand and offer value added services and solutions around technology infrastructure especially those related to telecommunication and computer networks.

Networking is a fundamental technology and spans a wide area ranging from networks within buildings to those spanning across a large geography with several new technologies coming into play such as Gigabit Ethernet, Wireless, Cellular, etc. It is important that TCS needs to be in a position to not only understand new technologies to implement them in a cost effective way but also help build standards and drive new technology development. 
The research group is currently active in the following areas:

  • Enterprise Networks
    Design and provision end-to-end networks required for legacy Data Centers (DC) and Software Defined Data Centers (SDDC).
  • Telecommunication Networks
    Contribute to various technologies like GSM, CDMA, WCDMA, Wi-Fi, WiMAX, LTE and LTE-Advanced. Develop various tools and techniques that can help operators optimize their networks and/or bring in new revenue streams.
  • Next Generation Networks
    Design, deploy, standardize and commercialize various solutions which could eventually become a part of the future 5G Networks. Focus areas under this theme are: 
    • Data Offloading
      Design optimal scheduling algorithms and data offloading schemes for the Next Generation Networks including spectrum (licensed and unlicensed) and power efficient solutions
    • Information Centric Networks
      Architecting the ‘Next Generation’ Internet that can efficiently handle Content Distribution. The proposed architecture supports both wired and wireless network segments of the current Internet and the future Information Centric Networks. 
    • Delay Tolerant Networks
      Designing solutions which can be used to provide end-to-end network services in no-network or poor network coverage zones.

Apart from this, the team is actively involved in standardization activities, has many contributions in national and international publications of repute and filed several patents in India and abroad.


TCS Innovation Labs - Chennai

Research Areas:

Decision Sciences and Algorithms | Human Centric System and Social Media | Cyber Physical Systems

The research groups in Chennai work on:

Sustainable Solutions and Consulting:

  • Green IT solutions and consulting: especially Green data centers and green facilities
  • Smartening water distribution networks at both utility and campus scales with a focus on energy and water management
  • Renewable energy integration with special emphasis on predicting wind speed & power, solar farm sizing, and hybrid wind-solar plant designs

 Next Gen Web Technologies:

  • Social software, semantic web and Rich Internet Application (RIA) platforms
  • Consulting in Enterprise 2.0, usability and Social Interaction Design, creation of web-oriented architectures and Mashup platforms and tools and assets for facilitating these
  • Consumer internet user experience into the enterprise to bridge the growing gap between the open, democratic, flat systems and the top-down, hierarchical way of working that pervades most companies.

Decision Sciences and Algorithms:

  • It  addresses the risks and uncertainties that compound the complexities of scale and scope in contemporary globalized value chains. The lab works on applications focused on domains such as transportation, logistics and human capital.



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TCS Innovation Labs - Delhi

Research Areas:

Data Analytics & Information Fusion | Multimedia, Graphics and Robotics | Natural Language Processing | Web Intelligence and Text Mining

The research groups in Delhi work on:

  • Big Data analytics & information fusion, exploring business use cases, solving the analytics problems that underlie them, as well as developing efficient algorithms that exploit the new big data stack and emerging data sources.

  • Multimedia, graphics and robotics, dealing with contextual interpretation of multimedia data and creation of synchronized presentation for specific use-cases. 

  • Graphical visualization of environments using 3D models created by graphic artists or using RGBD cameras for simulation and animation of human models.

  • Developing algorithms that would enable robots to understand its environment so as to fulfill its assigned goal efficiently.

  • Natural language processing research to query dynamically and to interact with different applications through natural language.

  • Text Mining dedicated to developing mechanisms for extracting knowledge hidden in unstructured text and integrating it to a causal and predictive analytics framework to derive Enterprise Intelligence.



  • Shroff, Gautam

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TCS Innovation Labs - Hyderabad

Research Areas:

Computational Finance and Risk | Computational Life Sciences | e-Security | Business Systems and Cybernetics

The research groups in Hyderabad work on:

  • Biomedical text-mining for enhanced healthcare
  • Human genome analysis
  • Computational structural biology 
  • Drug development
  • e-Security: Advanced encryption methods, Enterprise digital rights management, Digital watermarking and traitor tracing
  • Risk and Finance: Quantitative and computational methods for risk management in financial and non financial applications with special emphasis on pricing, hedging, Monte-Carlo simulations and stochastic optimization 


  • Bio-Suite™
  • Bio-Appliance platform
  • TCS PubMed eXplorer (TPX)
  • Genome Commons Navigator - A comprehensive tool for Genome Annotation and
  • Interpretation
  • Quantlator- A comprehensive tool for pricing and hedging of derivatives
  • Video Mudra – Digital watermarking tool for videos
  • eDRM – enterprise DRM for office documents


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TCS Innovation Labs - Kolkata

Research Areas:

Cyber Physical Systems | Human Systems

Research groups in TCS Innovation Labs - Kolkata work on:

Signal processing, Computer vision, Graphics, Image/video understanding, Machine learning,
Communication, computational and analytics aspects of Internet-of-Things (IoT) leading towards people-centric intelligent cyber-physical systems

Cyber physical Systems

IoT Platform Enhancements – Lightweight protocols, Distributed computing, Privacy and Security of IoT Platform; Stream Reasoning and Processing Support in IoT platform

  • Intelligent Facilities  – Model-driven Energy Consumption Optimization for Buildings; Sensor-driven Emergency Evacuation planning for Buildings, Indoor Localization Solutions
  • New Sensing Platforms (5 senses Computing) - 3D reconstruction from un-calibrated 2D images from mobile phones, Visualization for Virtual and Augmented Reality , Predictive Analysis using Thermal, Vibration and Change data

Human Systems

  • Affordable Healthcare/Wellness - Intelligent Healthcare through unobtrusive sensing – Elderly People and Chronic Disease people monitoring at home using Mobile phone based localization,  proximity sensing and activity detection, mobile phone based physiological sensing, Anomaly Detection and Alerting , Disease Diagnostics and Prognostics,  Kinect based people identification and activity detection and Tele-Rehabilitation.

  • Biosensing for Cognitive Load - EEG based cognitive load detection for Education


  • TCS Connected Universe Platform ( TCUP)
  • HeartSense and AkTrac
    Wellness App’s for Activity Detection and Physiological Sensing using Mobile Phone and Wearables.
  • Digital Stethoscope
    Mobile phone based Heart Sound measurement.
  • RehabBox
    Kinect based Telerehab System for post stroke patients.
  • iLoc -Indoor Localization
    StepiWi, ZoniWi, BlueEye are the solutions developed for Indoor localization using Inertial Sensors, WiFi and Bluetooth respectively.
  • Lightweight protocols for IoT Sensor-Cloud communication
    Algopedia - Model-based application development tool for sensor signal analytics
  • FitSense - Virtual Try-on
    Fitment of garments or accessories over human body/face for online shopping using mobile phone camera or web camera.


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TCS Innovation Labs - Mumbai

Research Areas:

Mobility and Social Innovation | Speech and Natural Language | Performance Engineering / Assurance of computing systems and networks | Decision Sciences and Algorithms

The research groups in Mumbai work on:

Mobility and social innovations,  aiming  to be pioneer in providing innovative services to improve livelihood, education, skills and quality of primary healthcare of the masses and to establish leadership in Rural Mobile Human Computer Interface (HCI), in India and the subcontinent. Towards this, the group focuses on developing working prototypes, pilots, research test-beds as well as providing frameworks, models, standards and guidelines for developing rural mobile applications.

Speech and Natural Language Processing, focusing on enabling: 

  • Robust speech recognition for different languages that can handle noise, accent and other variations smoothly
  • Voice and speech analytics to identify speaker, language, emotions, etc. over large input sets
  • Extraction of usable information hidden in spoken conversations for enabling actionable analytics
  • Parsing of chunks of text to identify the tasks and intent conveyed in them at a semantic level, together with identifying the relevant entities, objects, and relationships in the domain
  • Multi-lingual interfaces for systems
  • Parsing and translation of documents, reports and system responses in order to enable information correlation and extraction across diverse language resources



Performance Engineering /Assurance of computing systems and networks

  • Measurement, emulation, analysis, modeling and optimization of the performance of distributed computing systems 
  • Development of high performance components and frameworks, enabling solutions meet stringent performance SLAs
  • Optimization of scientific, engineering and other compute intensive algorithms on multi-core, multi-node, GPU and other HPC technologies

The research group works on the following: 

  • Developing new tools, techniques and methodologies required for delivering high performing applications
  • Development of high performance components and frameworks enabling solutions meet stringent performance SLAs 
  • Performance modelling and simulation including the following:
    • Early Capacity Planning
    • Prediction of performance under conditions of varying
      • Load
      • Hardware and software platforms
      • Data volumes (Big Data)
  • Performance Monitoring and Analytics
  • Benchmarking
  • Reliability Analysis
  • High Performance Computing
    • Algorithm optimization on Multi-Node, Multi-core systems and co-processors like GPU's & MiC
      • Including scientific, engineering, visualization and financial applications
    • Low Latency Messaging Development



  • PerfExt (Performance Extrapolation Tool)
  • SQL Capture module
  • UMC (Unified Messaging & Communnications Framework)
  • TCSLLQ (Low Latency Messaging)


  • ScrutiNet - Network Sniffer Based Application Profiling Tool - Now known and TCS MasterCraft Transaction Profiler
  • Jensor - Java Application Profiler (open sourced at
  • WaNem - Wide Area Network Emulator (open sourced at
  • SQLPASS - Database query performance predictor
  • FASTEST - Framework for automated Performance Testing - Now known as TCS MasterCraft Application Performance Tester



TCS Innovation Labs - Cincinnati

Research Areas

  • Product Design and Sustainability: Challenges in extracting semantic understanding in design data/information and making tacit knowledge useful for others involved in the design process (Working Knowledge Models (WKM)), visualization, interaction and collaboration (social networking) frameworks in early stages of product design, and methods/tools for product re-design and sustainability
  • Analytics and Process-Based Modeling: Application of process-based modeling concepts to product and process improvement. The work would focus on the development of tools and techniques for applying formal modeling, simulation and optimization techniques for product design and improvement in industry verticals such as medical devices, automotive, life sciences, etc.
  • Multi-product Optimization: Development of processes and methods for optimization-driven product rationalization for the manufacturing domain. The initiative focuses on solving challenging problems in the product rationalization stage leading to cost advantages in downstream manufacturing and service functions. 


Domain labs

TCS Innovation Labs - Insurance

Research Areas:

  • Improving operational efficiency of various key stakeholders including insurers, policy holders, agents and service providers through the use of emerging technologies
  • Managing customer lifestyle through proactive advice and support in the area of health, travel and automobiles 
  • Improving customer experience and relationship through customer self-service systems, business process management, customer profiling and customer-driven product design 
  • Insurance Product Innovation in the creation of new products to meet the changing market needs as well as in the process of designing and launching new products 
  • Enabling micro insurance especially in emerging markets like India and China by offering convenience at an affordable cost using technology
  • Straight Through Processing (STP) and Process Improvements in the insurance business process  
  • Improving member experience with Web 2.0
  • Business Intelligence and Analytics in insurance
  • Next Generation Architecture for IT Systems for Insurance: Software as a Service (SaaS), Cloud Computing (CC) solutions for insurance
  • Model Driven Development (MDD) and Testing for developing large IT systems for Insurance
  • Reference Architecture for insurance systems

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TCS Innovation Labs - Engineering and Industrial Solutions (EIS)

Research Areas:

  • Design optimization
  • Process/plant optimization
  • Modeling, simulation and control of plants, equipments and processes
  • Data Analysis and Data Mining 

The lab has created tools for two-stage tolerance optimization, capital maintenance planning, fixed-structure parametric identification, data mining and the development of Virtual Sensors using operational data. It has also created a framework for Supply Chain Planning under Uncertainty, a methodology for the identification of linear and nonlinear dynamic systems, algorithms for adaptive networks based on adaptive resonance theory for classification and identification and for fault diagnosis in linear and nonlinear systems using a model-based approach, and an object-oriented module for online multivariable control and optimization of linear systems.

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TCS Innovation Labs - Telecom

Research Areas:

  • Digital Surveillance based on Intelligent Video Analytics
  • IPTV: Video Analytics, STB, Media Streaming and IP Cameras
  • Mobile-based solutions for shopping, advertising, mobility, etc.

The lab acts as a hub for the incubation of new ideas relating to IP-based technologies primarily in the content delivery of video and other rich media and the Digital Surveillance System domain. 

TCS Innovation Labs –  Telecom – NextGen RnD
The NextGen RnD lab, part of Telecom, acts as a hub for the incubation of new ideas relating to next generation telecommunication networks, including providing complete support throughout the solution lifecycle including ideation, strategy and planning, architecture design and development, quality assurance, solution maintenance and customer support.

The lab focuses on:

  • Market research of next generation/evolving technologies to address various challenges of Telecom industry
  • Develop solution approach and Proof Of Concept for next generation technologies - Small Cells/LTE; WiFi; IP Routing & Switching; SDN
  • Showcase thought leadership – LTE SON, LTE RRM, LTE Multimedia Broadcasting

Assets/ Capabilities


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TCS Innovation Labs - Travel and Hospitality

Research Areas:

  • Business Process Innovations
  • Re-imagining Employee (Crew/Agent) Workplace
  • Social Enabled Sales/Marketing Platform
  • Connected Airport/Hotel Ecosystem
  • Airport Based Crowd Sourcing

The lab focuses on identifying business challenges and opportunities in the Travel & Hospitality domain and leverages technology & process expertise to solve them. Lab enables Data & IoT based frameworks to enable quicker business innovations. We also work in partnership with our customers to solve their business challenges through our innovative approach.

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TCS Innovation Labs - Retail

TCS Innovation Labs - Retail is a cutting edge incubation hub to introduce customers to our innovation process in the retail space. It allows the visiting customers to explore the lab's latest solutions, while also providing them an opportunity to work together with us and generate the next generation of solutions for their needs. The 'TCS Innovation Labs - Retail' is more than informative - it's inspirational. Customers can interact with real solution demos, brainstorm ideas and collaborate with our project teams.

Research areas :

 Enhancing Customer experience with solutions for

  • Product Discovery using NFC
  • Real time product information in-store using Augmented Reality
  • Personalized promotions using Lifi and Bluetooth beacons
  • Faster Customer Checkout using Bluetooth beacons
  • Sourcing Discovery using Printed labels.
  • Interactive Shopping using Gesture tracking devices.

Digitize store operations with solutions for :

  • Internet of Things inside a store
  • Store delivery - Gamified
  • In-store picking using Automated shopping cart
  • Real time Inventory check using Image recognition.

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TCS Innovation Labs - Banking and Financial Services

Research Areas of the Capital Markets Lab:

  • Trading algorithms: Algorithmic solutions for high frequency and algo trading
  • Discrete hedging solutions: Discrete hedging solutions for derivatives portfolios of multi-asset classes
  • Trader behavior and pattern detection: Research on trading pattern behavior of traders, deriving operational risk index on the basis of that pattern and trading strategy detection
  • Low latency: Lowering turnaround time from milliseconds to microseconds for trading systems  
  • Complex event processing and message driven architecture: Reducing the peak interval to generate more arbitrage opportunities

The Capital Markets group of TCS Innovation Labs - Banking and Financial Services tracks trends in capital markets and identifies opportunities as well as challenges for the market participants.

It offers innovative solutions by leveraging high-end technologies, innovative approaches and processes to help clients meet challenges in trading systems, investment management, exchanges and depositories. It also leverages TCS’ strong domain technology expertise and provides platform solutions in partnership with customers.

Research Areas of the Banking and Financial Services Lab:

  • Social Media Networking: Integrated social networking, collaboration and knowledge management platform using Web 2.0 technologies adapted to support areas in banking, social media analytics such as:
    • Customer Evaluation – to score the social credibility of people and organizations
    • Skip tracing - to trace and locate persons who have skipped town and intentionally gone into hiding
    • Customer Analytics – to customize advertising campaigns using social media feedback
    • Sentimental Analysis - to analyze call center conversations for decision making
  • Customer centricity: Customer Experience Management, Relationship focus and Personal Financial Solutions such as:
    • Video statements - to provide better customer experience by introducing animation and voice to monthly statements
    • Mobile Payment Solutions - to help build alternate channels for fund transfer
    • Customer Analytics – to improve customer experience by providing web page customization based on analysis of customer clicks
  • Ubiquity and Channel Integration: Mobile-based offerings including mobile phones for channel integration, virtual branch capabilities on self-service kiosks
    • Mobile Mortgage – to reduce the cost per loan application processing and cycle time and improve customer experience by enabling end customers and loan officers with mobile technology (phones and tablets)
    • Mobile BI solutions - to enable rendering of BI solutions on tablets without any application development effort such as Call Center Analytics and Payments/Cash Management Analytics
    • Data Model / Framework / Dashboard solution for Enterprise Credit Risk Management and ReportingFinancial Inclusion – to provide virtual branch capabilities on hand held devices
  • Governance, Risk and Compliance (GRC): Integrated IT Solution delivered in partnership with a market leading provider that supports G,R and C on a single integrated system
  • Security: Certificate-less mutual authentication solutions, TCS-patented light weight security protocol for mobile and wireless device based banking applications

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TCS Innovation Labs - Life Sciences and Pharma

Research Areas

The Life Sciences lab provides an environment to ideate, architect, design and develop innovative domain solutions and offerings using new technologies. It focuses on:

  • Developing new pharma business solutions and offerings
  • Evaluating industry leading COTS products
  • Performing POC for Pharma customers
  • Demonstrating Business processes across pharma value chain
  • Competency development 

Key Business Solutions: 

  • Bringing efficiencies in Clinical Operations by leveraging mobility & Social media
  • Improving study team productivity using Collaboration and eDocument exchange approach
  • Reducing TCO by building new Cloud based platforms
  • Reducing data redundancy and adoption of industry data standards for improving regulatory compliance as well as bringing efficiencies in data management processes
  • Addressing drug counterfeit challenge and regulatory requirement around Serialization and ePedigree
  • Building clinical data repository and analytics solution to extract intelligence to optimize Clinical trial planning and execution as well as enabling regulatory’s audit readiness

The Pharmaceutical Innovation lab is equipped with the required infrastructure and various industry leading COTS products like Oracle Clinical, TMS, Argus Safety, Emperica Signal, Oracle Clinical Data Analytics, Oracle LSH etc.

Key Products Developed in the Lab: 

  • Clin-e2e (CTMS and CDM Application) also available in hosted environment
  • End-to-end Clinical Data Management and Bio-Statistics Cloud Based Platform
  • Clinical Data Transformation Engine (CDTE)
  • Clinical Portal Based on MS Sharepoint
  • MDM Solution Accelerators for Clinical and Pharma Sales master data management and others
  • PIRA (Pharma Industry Reference Architecture), which captures the pharma business process along with Application and Information Architecture Reference Model.

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Academic Alliance Labs

PowerAnser Labs (PAL)

PAL brings together IIT-B’s deep academic and research expertise and our broad IT strengths to address the various challenges of the Power Sector. Its expertise and tools will facilitate and expedite restructuring of the power industry. PAL will also cater to the
sector’s R&D and training needs to cope with the requirements of restructuring.

PAL uses the latest technology to deliver online network analysis and decision support tools to help power utilities and grid operators access in-depth analysis at all times. It synergizes the use of Operations Research (OR) and Information Technology (IT) tools for the power system and focuses on services, delivered over the Internet, for the restructured and deregulated power system. The emphasis is on development of IT enabled tools with strong OR component for optimizing the performance of the restructured power systems.

In the first phase, PAL has focused on development of the following tools using the Software-as-a-Service (SaaS) model:

  • Decision support tools for scheduling loads and generations in an electricity market
  • Short Term Load Forecasting
  • Security Constrained Optimal Power Flow  
  • Infrastructure planning tools for planning the infrastructure growth for T&D networks
  • Optimal Transmission System Expansion Planning
  • Distribution System Planning
  • Long-term Load Forecasting
  • Infrastructure cost management tools
  • Transmission System Usage Cost and Loss Allocator
  • Generation Fixed Cost Allocator
  • Finance tools related to bidding, risk management
  • Instruments to hedge risk against congestion

Going forward, PAL will work closely with utilities to develop innovative tools for enhancing operational performance of distribution enterprises and evolve innovative processes for improving the customer facing interactions.

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Singapore Management University

Tata Consultancy Services along with Singapore Management University (SMU) has established the TCS-SMU iCity Lab.  Located at SMU Singapore, this lab is working towards creating a new research facility to develop industry perspectives, industry standards and IT frameworks for the emerging intelligent city (“iCity”) model of urban development. Apart from direct investment in the lab which will be used for supporting a team of thought leaders, academic collaboration and scholarships, we will be supporting joint initiatives under TCS Co-Innovation Network (TCS COIN™) initiative, with collaboration from our global network of innovation labs.

The iCity Lab will be a digitally interactive user-experience center where city managers and planners from the urban areas of surrounding countries can come to visualize and interactively explore scenarios for transitioning to the new generation of cloud-based information service delivery. The lab will also serve government and commercial organizations via the rapid development and prototyping of intelligent city solutions in the context of real-world scenarios.

The lab will be used to create innovative concepts leading to holistic solutions and transition frameworks, service-related process models and working prototypes of new cloud-based IT service delivery solutions to deliver city services under major themes such as healthcare, education, utilities, environmental management, transport, public safety and security, together with related G2C & G2B services, and integrating next generation technologies such as social media, Cloud Computing, Internet of Things, Mobility and Big Data.

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