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Applied AI

Guiding Clients From Ideation Through Implementation With AI-Powered Technologies & Advisory Services

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The Applied AI Method

The Trusted and Proven Process For Implementing Effective Transformation

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:

  • Evaluating Current State Operations and Identifying Opportunities
  • Holding Ideation Workshops & Educational Sessions
  • Performing Gap Analyses & Early-Stage Solutioning

Our team will deliver a blueprint for digital transformation success, specifically built to guide you into the future of work by:

  • Establishing and Validating the Business Case for Investment
  • Designing Future State Business Process (Inclusive of Technology)
  • Understanding and Planning for Organizational Impacts
Our experts will implement technology and help build internal support capabilities by:

  • Building Customized AI and ML Models That Support Business Processes
  • Maximizing Time to Value Through Rapid Proof of Concepts
  • Guiding Execution of the Transformation Roadmap
  • Providing Organizational Change Management Expertise

Post-implementation, Innodata ensures continued success and growth through:

  • Providing Performance Insights and Result Analytics
  • Designing Governance Models and Organizational Training for Increased Program Adoption
  • Ongoing Monitoring and Improvement Through Managed Services Teams
  • Putting Measures in Place to Help Protect Your Investments

You Bring the Use Case, We Bring the Expertise

Redesign Organizational Structure to Provide Value Realization
Remove Paper Processing With Intelligent Document Extraction
Utilize Prebuilt Synthetic Data for Faster AI Model Training and Deployment
Identify Content of Image, Video, Sensor, Speech, Audio, and Text Data With Data Annotation
Establish a Business Case to Achieve Enterprise Goals
Provide Self-Serve Customer Support With Conversational AI (Chatbots)
Capture, Source, and Generate Data to Scale Model Development
Build Trust and Improve User Experience With AI & Human-Powered Content Moderation

Accessible AI Transformation

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.

Improve Customer Experience

Provide Better Solutions to End Customers Through AI

Scale Business Operations

Remove Bandwidth Issues and Enable Business Continuity

Ensure Market Flexibility

Respond Quickly to Market Changes

Substitute Manual Workforces

Identify and Realize Savings From a Hybrid Workforce (Human/Digital) and Unlock the Future of Work

Increase Efficiency

Improve Process Efficiency Through Digitizing Data

Make Informed Decisions

Better Utilize Existing Data to Improve Insights

Align Enterprise Ambitions

Prioritize Competing Transformation Initiatives

Combine Technologies

Leverage the Power of Multiple Data Technologies in an Integrated Platform

Transform Your Business Workflow Operations & Unlock the Future of Work

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Success Stories

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.

Data Extraction for Mergers & Acquisitions Analytics

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. 

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Multilingual Bio-Medical & Chemistry Patent Data Processing

A leading patent analytics provider needed to extract and label data from global patents in multiple languages.

Multilingual Bio-Medical & Chemistry Patent Data Processing

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. 

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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.

Contract Risk and Compliance Platform for Investment Banking

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.

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Legal Document Tagging & Customized XML Schema

A global legal information and analytics organization needed to create labeled data for legal research, search, and discovery.

Legal Document Tagging & Customized XML Schema

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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Working with Innodata has been a delight — they have been flexible, competent, and able to scale to large projects. We have not found a program they could not handle with grace and care.
Brewster Kahle
Brewster KahleFounder & Digital Librarian

Innodata (NASDAQ: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. That’s why we’re on a mission to help the world’s leading technology companies and enterprises drive Generative AI / AI innovation. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 35+ year legacy delivering the highest quality data and outstanding outcomes for our customers.

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