Semantic Extract is a proven and adopted technology that applies proprietary AI techniques, Machine Learning, advanced semantics and NLP, to automatically extract target data from unstructured documents. This flexible and intelligent technology can scale across an organization providing businesses with improved operational efficiencies and a rapid ROI.Request a demo
A great deal of resources are spent manually inputting data into downstream systems. Semantic Extract allows businesses to fully automate these processes whilst reducing human error.
Semantic Evolution makes extracted data available in the preferred format, place and UI. By empowering businesses with our UI, users have the ability to configure for new document types and enrich data models with no coding or scripting required.
Users have full control to design and implement their desired workflow within Semantic Extract. By automating the data extraction process and workflow, businesses experience a quicker time to market, increased cost savings and a rapid ROI.
Semantic Extract produces a full audit trail, allowing users to visualize and identify the extracted, normalized and validated data from the source document, giving businesses the confidence that data remains uncompromised.
The diagram below represents how Semantic Evolution can support users in automatically extracting target data from unstructured documents and converting it into actionable information.
As a leading information, analytics and solutions provider, the extraction of data from unstructured sources in an efficient and timely manner is critical. Semantic Evolution’s flexible solution has enabled us to automate numerous processes, allowing us to improve product quality, gain efficiency and focus on more value added services for our customers. Semantic has been a great partner and I look forward to seeing how we can gain further benefits through expanded use of their technology.
It is exciting to be partnering with Semantic Evolution, whose expertise in data extraction combines perfectly with our data analytics platform. The prompt and professional support from the SE team was excellent and led to a smooth rollout.
Semantic Evolution’s intelligent solution has enabled FCMs to extract data from EGUS rate schedules in a timely and accurate manner. We look forward to collaborating with them further to provide additional operational efficiencies within the global futures industry.
Semantic Evolution, headquartered in London has a global reach with an office in New York.
Leading the way in artificial intelligence, Semantic Evolution focuses on Intelligent Data Extraction.
Many businesses are required to interrogate, extract and organize data as core processes. About 80% of this data is unstructured, meaning it is buried in documents and hard to access.
Semantic Evolution helps firms address all parsing needs and transforms data into actionable information. A proven concept, the technology has been adopted by firms globally.
By using Semantic Evolution to automate the data extraction process, companies have experienced efficiency gains, data coverage improvements and reduction in processing times. Semantic Evolution provides opportunities to improve data quality, free up resources and save costs to deliver a rapid ROI for any industry.Find us on Linkedin
15 years of broad exposure to financial services gained at CMA in London and then at Markit in Asia. As a sales leader, strategic account manager and business builder, Edouard has developed new markets and penetrated key accounts providing innovative solutions. Graduated from Northeastern University with a Bachelor of Science Degree in International Business (BBA) and from Reims Management School with a Diplôme d’Etudes Supérieures Européennes de Management.
With his deep academic background in Ontologies and Semantic Networks Marek went on to spend 15 years developing commercial software. Marek spent most of this time applying new programming approaches such as Expert Systems, Neural Networks, Information retrieval and Agent Systems to create novel, scalable and successful real world applications. After 5 years leading the Data Parsing team at CMA (part of CME Group), Marek co-founded Semantic Evolution to explore new ideas in data structuring and analysis.
15 years experience in IT within the financial sector, building teams and products that have provided innovative solutions to investment banks, hedge funds and AAA rated structured credit vehicles. Stephen was the creator and co-founder of QuoteVision, the first real-time message parsing technology for the financial markets. CMA QuoteVision was acquired by CME Group in 2008 for over $100m. Graduate of Cambridge University and holds a Masters degree in Engineering.
With over 25 years of experience in financial markets and financial data, Tom entered the finance industry where he spent 10 years in the exotic derivatives business as a quantitative modeller and trader at SG Warburg and Barclays. This was followed by a stint as Head of Market Risk Management for Europe and Asia for Toronto Dominion Bank. In 2002 Tom co-founded Markit Ltd, a financial data and services company. Tom was instrumental in particular in building the quantitative foundations and operations of Markit's credit derivatives data and derivatives valuation businesses. Markit floated on NASDAQ in 2014 at a valuation in excess of $4bn.
David holds a wealth of experience in investment data analytics and solutions, most recently in his role as Chief Operating Officer of MSCI, which he held from 2006 to February 2014. He also held various senior roles at Morgan Stanley spanning more than twenty years, including COO of the company’s equity division and COO of its institutional and retail securities groups. David is a Crown Representative in the Cabinet Office of Her Majesty’s Government, advising on procurement and the management of strategic suppliers.
Kevin is the former CTO and co-founder of FCS, the developer of the Wall Street Office platform. He earned his B.S. in Electrical Engineering from the University of California, San Diego and has 23 years of experience in the syndicated loan market. Under his leadership, Wall Street Office evolved to become the industry standard for loan portfolio management and accounting. Kevin oversaw the technology effort from the founding of FCS until 2006. In 2007, Kevin co-founded Black Mountain Systems, which has become the industry standard front office solution for syndicated loan managers and private debt lenders.
Broker reports, Pricing sources, CSA, ISDA, Legal Doc, Term Sheets, Trade Confirmations, Compliance, KYC, Tax Forms, Regulatory filings, Bond Prospectuses, Credit Agreements, Loan Prospectus, Structured Finance Prospectuses, Structured Warrants, Contract notes, Fund Orders, Transfer Agencies, Invoices, SSI, Agricultural Data
Semantic Evolution's headquarters is in London. For more information about our products and services, please email us at the following firstname.lastname@example.org