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Guiding Clients From Ideation Through Implementation With AI-Powered Technologies & Advisory Services
Solutions
Guiding Clients From Ideation Through Implementation With AI-Powered Technologies & Advisory Services
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Innodata deploys best-in-class third-party and proprietary data collection, annotation, and extraction AI/ML models and platforms to transform your data flows and business operations. Our experts leverage our proven methodology to help automate operations, speed up manual tasks, and shift your expert talent to creative and analytical work.
Our experts assess your business and strategize a plan for technology implementation and growth through:
Our team will deliver a blueprint for digital transformation success, specifically built to guide you into the future of work by:
Post-implementation, Innodata ensures continued success and growth through:
Eliminate boring and mundane tasks like data gathering, data crunching, and document processing so your valuable human experts can shift to higher-level tasks that require analysis, creative thinking, judgment, and other skill sets.
By leveraging our experienced consulting team, you can start thinking differently about how to solve business challenges with our AI-based platforms and solutions.
Provide Better Solutions to End Customers Through AI
Remove Bandwidth Issues and Enable Business Continuity
Respond Quickly to Market Changes
Identify and Realize Savings From a Hybrid Workforce (Human/Digital) and Unlock the Future of Work
Improve Process Efficiency Through Digitizing Data
Better Utilize Existing Data to Improve Insights
Prioritize Competing Transformation Initiatives
Leverage the Power of Multiple Data Technologies in an Integrated Platform
Learn How We’re Helping Our Clients Drive Business Operations With Professional Services
Data Extraction for Mergers & Acquisitions Analytics
A leading financial intelligence company required automation to provide hourly updates on deals.
Challenge
A leading financial intelligence company offers a comprehensive database of information on M&A, IPO, private equity, and venture capital. They collect structured and unstructured data comprised of 84 fields of interest within news items from 5 sources. Because manually processing the unstructured data is both resource and time-intensive, they sought an elegant solution for automating this process.
Solution
Innodata built a proprietary machine learning model trained by in-house subject matter experts that facilitated an automated approach to extracting and structuring relevant information. This project was set up in two phases to ensure speed, quality, and agility. Phase 1: Develop & train a ML model with 4,000+ deal records with 20 high-frequency data points. Phase 2: Offer continuous training and automation for 500+ deal records per day. In addition to extracting 20+ relevant entities, Innodata also deployed a sophisticated NLG (natural language generation) model to rewrite headlines.
Impact
This leading financial intelligence company can offer hourly updates on M&A, IPO, private equity, and venture capital, making its product a world-class financial resource. In addition, Innodata’s technology aids in improving turnaround time and reducing cost for deal records in the database by automating repetitive manual efforts and improving scalability across data sources. Innodata also avoid copyright issues by rewriting headlines automatically.
Multilingual Bio-Medical & Chemistry Patent Data Processing
A leading patent analytics provider needed to extract and label data from global patents in multiple languages.
Challenge
Innodata partnered with a leading patent analytics provider to create labeled data from global patents in multiple languages.
Solution
Innodata employed advanced entity extraction and text and data mining augmented by professional, scientific subject matter experts to create high-quality labeled patent datasets. Innodata tasked its bio-medical and chemistry SMEs to analyze thousands of patents and label chemical reactions. Innodata's SMEs processed and identified drugs and labeled chemical compounds.
Impact
Innodata built a pipeline of patent information in multiple languages for the analytics provider to use across its network of global research partners.
Contract Risk and Compliance Platform for Investment Banking
A global investment bank required the preparation of complex derivative agreements data for a regulatory and compliance platform.
Challenge
A major global investment bank needed to satisfy emerging regulatory requirements for Transparency and Disclosure. They sought to build a contract repository with a search and discovery engine to manage and track their complex derivative agreements.
Solution
At the project's outset, Innodata digitized more than 12,000 documents, covering 30,000 counterparties. Due to the complexity of the transactions, Innodata assembled a team of lawyers specializing in derivatives transactions to review the documents. The lawyers also advised on creating a comprehensive 1,200-point data model around ISDA contracts. This data model provided Innodata's annotation SMEs with a schema for mining data points and tagging documents to power the search and discovery engine and enable report generation.
Impact
With the completion and delivery of these highly specialized datasets, the investment bank could train its internal risk management platforms to help meet compliance requirements set by regulators. These included platforms for Counterparty and Credit Risk as well as Collateral Management.
Legal Document Tagging & Customized XML Schema
A global legal information and analytics organization needed to create labeled data for legal research, search, and discovery.
Challenge
A global legal information and analytics organization needed to create structured labeled data for legal research, search, and discovery.
Solution
Innodata used advanced entity extraction, text mining, and data mining augmented by professional legal subject matter experts to create high-quality labeled legal datasets. Innodata digitized years of US legal data content and had professional paralegal teams label unstructured legal information and create structured data for predictive and prescriptive analytics platforms.
Impact
The data annotation was completed for a sizeable legal dataset for over two years with 200+ legal resources.
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Learn How AI Can Cut Costs & Increase Efficiency. Transform Your Business Workflow Operations & Unlock the Future of Work.