Leverton An MRI Software Company
Unlock the Potential of Data with AI-Powered Technology
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While 2020 has been all about bringing AI into production, the IT sector is still struggling to source data from a complex portfolio of applications and convince various data gatekeepers to play along. To thrive in this ever more competitive and technologicallyinclined business world, organisations not only need to mine data to find similar patterns but should also focus on converting them into actionable insights using advanced analytics tools. At this tipping point where the infrastructure needs to support adaptive decision-making by AI, Leverton comes into play. This New York-based company provides AI-powered data extraction and contract analytics platform, helping businesses to extract and analyse key structured data out of their corporate and legal documents. Leverton empowers businesses to make smarter decisions and uncover insights hidden in their documents by utilising the power of AI.
With Abhinav Somani at the helm as the MD, Leverton can be credited with the development of the only true AIpowered and enterprise-ready data extraction and contract analytics platform. Founded in 2012 by a group of scientists looking to push the boundaries of AI for semantic analysis, the company has evolved into a robust, AI-powered data extraction and contract analytics platform, trusted by over 200 of the Fortune 1000. Regardless of the look and feel of the source information, Leverton has a standard approach of converting unstructured content into structured data in the beginning. The company uses a set of proprietary and patented machine and deep learning algorithms, its own pre-trained optical character recognition (OCR) engine, pattern recognition, NLP, and grammatical syntax structure detection to accelerate data discovery and extraction, speeding time to ROI.
With Abhinav Somani at the helm as the MD, Leverton can be credited with the development of the only true AIpowered and enterprise-ready data extraction and contract analytics platform. Founded in 2012 by a group of scientists looking to push the boundaries of AI for semantic analysis, the company has evolved into a robust, AI-powered data extraction and contract analytics platform, trusted by over 200 of the Fortune 1000. Regardless of the look and feel of the source information, Leverton has a standard approach of converting unstructured content into structured data in the beginning. The company uses a set of proprietary and patented machine and deep learning algorithms, its own pre-trained optical character recognition (OCR) engine, pattern recognition, NLP, and grammatical syntax structure detection to accelerate data discovery and extraction, speeding time to ROI.
Over the years, Leverton has transformed into a SaaS accessible to businesses of any size and industry. Being acquired by MRI Software, a leading real estate software solutions provider, last year has supported Leverton in its trail to help businesses worldwide make smarter decisions using better data. The company is an innovative, smarter, and automated way of freeing up time from tedious administrative tasks to dedicate time to more strategic, higher-value tasks such as the interpretation and analysis of data.
Leverton’s entire product cycle can be summed up in three stages—extract, analyse, and integrate. At first, its AI extracts key data from the client’s documents and links each extracted data point to the source information. Leverton further validates all extracted data via a two-step quality check and control process. Next, the company accesses and analyses structured data in dashboards such as pivot tables and critical date calendars. Besides this contract analytics, it also creates more custom dashboards and reports for the client to drive additional insights from their data. Lastly, Leverton exports data into Excel or integrates directly to third-party DMS, ERP, or BI systems via its open API to consume the client’s structured data within their desired target system.
Leverton’s uniqueness stems from its highly accurate set of data and the ease with which data could be audited. The company has scripted multiple success stories, one of which is for Priam Properties, a mid-sized real estate private equity firm that was struggling to grow quickly while maintaining flexibility through a lean staff and operation. The firm implemented Leverton in order to reduce the overhead and time spent on reviewing leases during due diligence and ongoing property management/lease administration. Priam’s lease review time was reduced from over 8 hours to 1-2 hours, with 24-48 hours turnaround times achieved. Furthermore, their portfolio grew from 100 leases to 400 in 18 months, with Leverton supporting each transaction. The solution has been implemented at some of the top real estate institutions globally, where the company has dramatically reduced processing times by more than 75 percent and reduced costs and overhead by more than 50 percent.
Leverton’s entire product cycle can be summed up in three stages—extract, analyse, and integrate. At first, its AI extracts key data from the client’s documents and links each extracted data point to the source information. Leverton further validates all extracted data via a two-step quality check and control process. Next, the company accesses and analyses structured data in dashboards such as pivot tables and critical date calendars. Besides this contract analytics, it also creates more custom dashboards and reports for the client to drive additional insights from their data. Lastly, Leverton exports data into Excel or integrates directly to third-party DMS, ERP, or BI systems via its open API to consume the client’s structured data within their desired target system.
Leverton’s uniqueness stems from its highly accurate set of data and the ease with which data could be audited. The company has scripted multiple success stories, one of which is for Priam Properties, a mid-sized real estate private equity firm that was struggling to grow quickly while maintaining flexibility through a lean staff and operation. The firm implemented Leverton in order to reduce the overhead and time spent on reviewing leases during due diligence and ongoing property management/lease administration. Priam’s lease review time was reduced from over 8 hours to 1-2 hours, with 24-48 hours turnaround times achieved. Furthermore, their portfolio grew from 100 leases to 400 in 18 months, with Leverton supporting each transaction. The solution has been implemented at some of the top real estate institutions globally, where the company has dramatically reduced processing times by more than 75 percent and reduced costs and overhead by more than 50 percent.
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