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What is Tensorlake?

Tensorlake is an innovative AI data cloud that specializes in transforming unstructured data into AI-compatible formats with remarkable efficiency. It skillfully converts a variety of content, such as documents, images, and presentations, into structured JSON or markdown segments, making it easier for large language models to retrieve and analyze the information. With its advanced document ingestion APIs, Tensorlake supports an array of file types, from handwritten notes to PDFs and complex spreadsheets, all while performing essential post-processing tasks like chunking and maintaining the original layout and reading order. The platform’s serverless workflows enable rapid end-to-end data processing, allowing users to develop and deploy fully managed Workflow APIs in Python that can effortlessly scale down to zero when idle and increase capacity during data-intensive operations. Moreover, it is engineered to handle millions of documents at once, ensuring that the context and relationships among diverse data formats are preserved. Tensorlake also incorporates robust, role-based access control features that enhance collaboration within teams. This combination of flexibility and efficiency positions Tensorlake as an essential resource for organizations aiming to optimize their AI data preparation workflows and drive innovation in their data practices. By streamlining these processes, Tensorlake not only saves time but also enables teams to focus on deriving insights from their data more effectively.

What is Innodata?

We create and manage data for some of the most valuable companies globally. Innodata addresses your toughest data engineering challenges by combining artificial intelligence with human expertise. Our range of services and solutions empowers you to leverage digital information on a large scale, propelling digital transformation in your sector. We efficiently gather and label sensitive data, ensuring that the resulting ground truth is nearly flawless for AI and machine learning models. Our user-friendly API processes unstructured data, including contracts and medical records, converting it into structured XML that adheres to the necessary schemas for both downstream applications and analytics. Additionally, we guarantee that essential databases are not only accurate but also consistently updated to reflect real-time information. Through our comprehensive approach, we help businesses maintain a competitive edge in an ever-evolving digital landscape.

Media

Media

Integrations Supported

JSON
Pypestream
Python

Integrations Supported

JSON
Pypestream
Python

API Availability

Has API

API Availability

Has API

Pricing Information

$0.01 per page
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Tensorlake

Company Website

www.tensorlake.ai/

Company Facts

Organization Name

Innodata

Date Founded

1988

Company Location

United States

Company Website

innodata.com

Categories and Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Conversational AI

Code-free Development
Contextual Guidance
For Developers
Intent Recognition
Multi-Languages
Omni-Channel
On-Screen Chats
Pre-configured Bot
Reusable Components
Sentiment Analysis
Speech Recognition
Speech Synthesis
Virtual Assistant

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Labeling

Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

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