Discover How to Develop Rich Datasets from Complex Documents
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.
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.
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).
AES 256 end-to-end encryption and other safeguards for PHI and PII.
Code against the Zevnodata API to automate document transformation and embed transformed data into your workflows and apps. Zevnodata API provides endpoints to all data transformation services with full transparency.
WEB DATA ACQUISITION
Monitor and extract structured and unstructured web data at scale.
Web Scraping | Website Change Detection | File Formatting
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
Turn unstructured text into normalized, data model-conforming data points for computer addressability.
Concept Normalization | Link to Source | Metadata Management
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.
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.
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
Learn how we’re helping our clients create real value from their content.
Global Financial Firm Invests in Aggregating Regulatory Data
Global Investment Firm Banks on Legal Experts + AI to Extract Data from Complex Contracts
Media Powerhouse Extracts Rights Management Information from IP Rights Contract