2018 – 20192017 – 20182016 – 20172015 – 2016
Q4 2018-19 Results
Conference Call: Summary
Q3 2018-19 Results
Q2 2018-19 Results
Q1 2018-19 Results
Q4 2017-18 Results
Q3 2017-18 Results
Q2 2017-18 Results
Q1 2017-18 Results
Pradeep Kapoor, 71 years, is a non-executive and independent Director on our board. He joined the Company in August 2007. He holds a bachelor’s degree in Mechanical Engineering from Regional Engineering College, Bhopal University. He has been associated with the infrastructure industry, especially engineering, manufacturing, and construction industry for approx. 46 years. Under his leadership, a number of cement plants, mineral processing plants, and infrastructure projects have been constructed. He has been the Managing Director and CEO of Trafalgar House Construction Limited, Managing Director and CEO of FL Smidth Limited, Vice-chairman/Managing director/CEO of ABG Cement Limited and of ABG Energy Limited. He also has been the Chairman of Fuller InfotechPrivate Limited, Director of FLS Automation Private Limited. He also has been the CEO of Dosdal Limited and of Sanghi Industries Limited.
Fleet Star is a complete transportation management solution that assists corporations, transport administrators, employees, and vendors address the challenges associated with corporate transportation. The solution leverages cutting-edge technologies including mobility, IOT, and data analytics to keep users apprised of itinerary changes across multiple devices and locations.
eCube provides a centralized system through which all business lines can scrape data from specific websites. This technology enables the creation of a robust data lake utilizing the information collected to carry out tasks such as competitor analysis. eCube navigates through online stores using various pattern matching techniques to extract relevant data. This solution relies on a high scale IT infrastructure to optimally run hundreds of processing threads, facilitating the efficient extraction of high volumes of data.
This comprehensive Robotic Process Automation platform offers improved business efficiency and effectiveness by replacing high volumes of repetitive and rule-driven tasks, allowing firms to save costs and focus on strategic, value-add activities. The ability to standardize business processes, build automation that can be leveraged across your organization, and drive improved control due to reduced human error are some of the benefits of this platform. Roboworx is built to seamlessly integrate with existing applications for minimal business disruption.
Confirmations Lifecycle Manager provides an end-to-end workflow tool for OTC Trade confirmations offering features such as drafting, indexing, incoming review, affirmation, and reconciliation. This centralized solution incorporates Optical Character Recognition, Machine Learning based automated capture, RPA as well as a Reconciliation Engine to reduce the manual effort required to manage this process.
The Compliance Manager Solution automates the onboarding of customers, the refreshes of their information as well as the remediation process. This workflow helps financial institutions and corporations perform due diligence accurately and securely, while increasing transparency and reducing cost. Through the use of Robotic Process Automation, Machine Learning based data capture, Semantic Analysis and Natural Language Processing, the platform automates sourcing and review of data.
The Loans Manager platform helps financial organizations reduce the time between loan origination, deal building and amendments by offering subject matter expertise, automation, document extraction as well as data capture tools. The digitization process uses Optical Character Recognition, Natural Language Processing, pattern recognition and table reading to capture attributes from the document.
eClerx’s Billing Manager solution resolves your brokerage management challenges by providing robust support across the entire billing lifecycle. Our holistic approach uses machine learning and advanced matching algorithms to automate incoming invoices for reconciling with accruals, enabling firms to streamline and standardize invoices.
DocIntel transforms complex documents into comprehensive data models that can be utilized to run analytics and feed downstream systems. The solution uses Optical Character Recognition and pattern matching based automated extraction algorithms to capture all variables within the document. Each document is then converted to a machine-readable format to enable text searching.