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Data Transformation

The API for turning raw data into the tagged or extracted data you need, at scale

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Featured Whitepaper

Discover How to Develop Rich Datasets from Complex Documents

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Complex Data Transformation is Now an Easily-Configured API.

We’ve eliminated the need for you to manage complex infrastructures by combining humans-in-the-loop, model development and model maintenance into an easy API, with full data transparency.

Trained Models

Over 100 models trained on complex documents and built on our sequence labeling and sequence-to-sequence deep learning architectures, which are uniquely suited for rich data tagging and data extraction.

Experts-in-the-loop

Over 3,500 in-house SMEs across healthcare, medicine, sciences, finance and law who train the AI models and keep them performing through confidence estimation and feedback loops (orchestrated active learning).

End-To-End Security

AES 256 end-to-end encryption and other safeguards for PHI and PII.

Easy API

Code against the Innodata API to automate document transformation and embed transformed data into your workflows and apps. Innodata API provides endpoints to all data transformation services with full transparency.

Data Transformation Services

Transform both proprietary and public data to normalized, tagged or extracted data for best-in-class AI/ML applications, data products, and data-driven workflows for better, faster decision-making.

Web Data Acquisition

Monitor and extract structured and unstructured web data at scale.

Web Scraping | Website Change Detection | File Formatting

Format Conversion

Transform content for downstream processing and analytics.

Digitization | OCR | PDF Extraction

Data tagging & Linking

Entity and semantic tagging for enhanced discovery and analytics.

Semantic, Concept and Entity Tagging | Structural Tagging| Linking and Cross-Referencing

Data Extraction

Turn unstructured text into normalized, data model-conforming data points for computer addressability.

Concept Normalization | Link to Source | Metadata Management

The World's Most Advanced AI-First Data Transformation Platform

Plug-and-play machine learning micro-services. Experts-in-the loop workbenches. A high-performance data lake. State-of-the art orchestration layer. It’s the place where human and machines come together to produce the highest quality data with the utmost efficiency.
Data Transformation
  • Continuously update disparate data from websites and integrate with downstream systems
  • Automated standard data normalization and support for customized conversion ruleset
  • Classification of data to a specific taxonomy or ontology
  • Structural tagging and domain-specific data enrichment
  • Linking or cross-referencing data to create relationships with metadata enhancement

Data Transformation In Action

Innodata data transformation
Getting Started is Simple
step 1
Define your needs and goals
step 2
Share your sample documents
step 3
Provide us your data schema (or we can build it for you)
step 4

Establish connectivity via API or other means

step 5
Run POCs
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Success Stories

Learn how we’re helping our clients create real value from their content.

Global Financial Firm Invests in Aggregating Regulatory Data

Global Financial Firm Invests in Aggregating Regulatory Data

Objective
A global financial institution was facing millions of dollars in penalties due to non–compliance issues. Therefore, our client needed custom regulatory data feeds to support their global compliance teams.

Solution

    • Innodata partnered with the client and setup a team of 280 dedicated legal experts.
    • SEC Regulatory law and other data were automatically extracted from over 15 years of legacy data from 68 web sources.
    • Innodata built a ML-enabled solution for entity recognition, labeling and content structuring to the client’s specific XML schema.
    • All linked data in the regulations were identified and a custom linked dataset was created.
    • The complete database was built in less than 24 months, during which we processed millions of records.

Results

  • The client has access to a customized regulatory law database with accurate information.
  • The data feed is continuously updated each day from 280 global SEC regulation web sources.
  • The ML-enabled data solution powers the predictive analytics engine that is now used by their global compliance teams to successfully manage compliance.
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Global Investment Firm Banks on Legal Experts + AI to Extract Data from Complex Contracts

Global Investment Firm Banks on Legal Experts + AI to Extract Data from Complex Contracts

Objective

With a massive volume of industry-specific contracts being signed by multiple parties, it’s paramount that our client is able to stay informed of the latest changes in order to stay compliant with regulatory changes.

Solution

  • Innodata employed a team of lawyers with expertise in analyzing complex derivative contracts like ISDA, GSLA, and SLA.
  • Our team extracted over 1200 data points in ISDA contracts and tagged them according to our clients’ schema
  • Our team of derivative lawyers unraveled critical data from these contracts for predictive and prescriptive analytics platforms.

Results
The data created by our SMEs has been successfully used within predictive analytics systems in investment banks for regulatory compliance/margin management/risk management.

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Media Powerhouse Extracts Rights Management Information from IP Rights Contract

Media Powerhouse Extracts Rights Management Information from IP Rights Contract

Objective
A leading US publisher needed to extract specific data points from contracts while taking a systematic approach to rights management for managing risk.

Solution

    • Innodata employed a team of paralegal SMEs to analyze the contracts and identify the data points to be extracted.
    • We leveraged advanced entity extraction, text and data mining, augmented by our team of accredited legal experts to extract critical contract data points from contract documents with high accuracy.
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Results
The data points are ingested into the contracts intelligence platform to enable descriptive and predictive analytics for more precise contract risk management.

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Innodata’s data transformation platform has helped us drive innovation and productivity that’s only possible by expertly combining AI and human expertise.
Patricia Smith
Patricia SmithBank of New York Mellon