AI Data Solutions
Data Collection
Customized Natural and Synthetic Data Collection for
Generative and Traditional AI Model Training
Customized Natural and Synthetic Data Collection for Generative and Traditional AI Model Training
![](https://innodata.com/wp-content/uploads/2024/06/Data-Collection-and-Curation-Header.png)
![](https://innodata.com/wp-content/uploads/2024/06/Data-Collection-and-Curation-Flow-Chart.png)
Let Innodata source, collect, and generate speech, audio, image, video, text, and document training data for generative and traditional Al model development. With 85+ languages supported across the globe, we offer customized data collection and creation offerings to meet any domain need.
Capture, Source, & Generate High-Quality Data for
Exceptional AI/ML Model Development
Innodata creates customized datasets across a range of formats to train and fine-tune your AI models.
![](https://innodata.com/wp-content/uploads/2024/06/Text-and-Document-Data-Collection.png)
Text & Documents
Curated and generated datasets, from prompt datasets to financial documents, and more. Scale your AI models and ensure model flexibility with high-quality and diverse text data in multiple languages and formats.
Sample Datasets:
- Prompt Datasets
- Invoices
- Bank Statements
- Utility Bills
- Receipts
- Packing Lists
- And More...
![](https://innodata.com/wp-content/uploads/2024/06/Audio-and-Speech-Data-Collection.png)
Speech & Audio
Diverse datasets to train your AI in navigating the complexities of spoken language. Specify your needs from languages, dialects, emotions, demographics, to speaker traits for focused model development.
Sample Datasets:
- Customer Service Calls
- Telehealth Recordings
- Podcast Transcripts
- Lecture Recordings
- Ambient Soundscapes
- Voice Messages
- And More...
![](https://innodata.com/wp-content/uploads/2024/06/Image-Video-Sensor-Data-Collection.png)
Image, Video, & LiDAR
High-quality sourced and created data capturing the intricacies of the visual world. Empower generative and traditional AI model use cases ranging from image and video recognition to generation, and more.
Sample Datasets:
- Autonomous Vehicle Sensor Data
- Surveillance Footage
- Retail Product Images
- Facial Data
- Sports Videos
- Selfie Camera Recordings
- And More...
When Real-World Data Falls Short
Innodata goes beyond real-world data collection to offer comprehensive synthetic data creation as well. Synthetic data is artificially generated data that statistically mirrors real-world data. This empowers you to:
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Augment Real-World DataExpand existing datasets with high-quality, synthetic variations, enriching your models with diverse scenarios and edge cases.
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Ensure Privacy ComplianceGenerate synthetic replicas of sensitive data, enabling secure and compliant model training without compromising privacy.
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Overcome Access BarriersProduce synthetic data from restricted domains, unlocking valuable insights previously out of reach.
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Customized Data on DemandOur teams create tailored synthetic data to your specific needs, including edge cases and rare events, for highly focused model training.
By utilizing real-world and/or synthetic data, Innodata empowers you to develop more robust and versatile AI/ML models.
![](https://innodata.com/wp-content/uploads/2024/06/Facial-Dataset-Example.png)
Why Innodata?
![](https://innodata.com/wp-content/uploads/2024/04/1712348290-trimmy-Global-Delivery-Centers-Language-Capabilities-1024x895.png)
Global Delivery Centers &
Language Capabilities
Innodata operates global delivery centers proficient in over 85 native languages and dialects, ensuring comprehensive language coverage for your projects.
![](https://innodata.com/wp-content/uploads/2024/04/1712348289-trimmy-Quick-Turnaround.png)
Quick Turnaround at Scale with
Quality Results
Our globally distributed teams guarantee swift delivery of high-quality results 24/7, leveraging industry-leading data quality practices across projects of any size and complexity, regardless of time zones.
![](https://innodata.com/wp-content/uploads/2024/04/1712348289-trimmy-Domain-Expertise-Across-Industries-1024x867.png)
Domain Expertise Across
Industries
With 4,000+ in-house SMEs covering all major domains from healthcare to finance to legal, Innodata offers expert annotation, collection, fine-tuning, and more.
![](https://innodata.com/wp-content/uploads/2024/04/1712348290-trimmy-In-House-Data-Scientists.png)
Linguist & Taxonomy Specialists
Our in-house linguists and create custom taxonomies and guidelines tailored to traditional and generative AI model development.
![](https://innodata.com/wp-content/uploads/2024/04/test_1712772794-trimmy-annotation-screen-2-1024x624.png)
Seamless Workflows
From web scraping and internal data extraction to external data sourcing, we handle it all. We take care of data preprocessing, including text/document, image/video/sensor, and audio/speech formats, so you can focus on building exceptional models.
Why Innodata?
![](https://innodata.com/wp-content/uploads/2024/04/1712348290-trimmy-Global-Delivery-Centers-Language-Capabilities-1024x895.png)
Global Delivery Centers &
Language Capabilities
![](https://innodata.com/wp-content/uploads/2024/04/1712348289-trimmy-Quick-Turnaround.png)
Quick Turnaround at Scale with
Quality Results
![](https://innodata.com/wp-content/uploads/2024/04/1712348289-trimmy-Domain-Expertise-Across-Industries-1024x867.png)
Domain Expertise Across
Industries
![](https://innodata.com/wp-content/uploads/2024/04/1712348290-trimmy-In-House-Data-Scientists.png)
Linguist & Taxonomy Specialists
Our in-house linguists and create custom taxonomies and guidelines tailored to traditional and generative AI model development.
![](https://innodata.com/wp-content/uploads/2024/04/test_1712772794-trimmy-annotation-screen-2-1024x624.png)
Seamless Workflows
From web scraping and internal data extraction to external data sourcing, we handle it all. We take care of data preprocessing, so you can focus on building exceptional models.
Fuel Generative and Traditional AI with Innodata.
High-quality data collection and creation for AI/ML model development.
Case Studies
Data Collection Customer Success Stories
![](https://innodata.com/wp-content/uploads/2022/04/Data-Collection-News-Aggregator-Expands-Data-AggregationCollection-1024x683.jpg)
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. We also avoid copyright issues by rewriting headlines automatically.
![](https://innodata.com/wp-content/uploads/2022/04/Automotive-Claims-Leader-Revs-Up-On-Premise-Data-Collection-Support-1024x683.jpg)
On-Premise Data Collection for Automotive Claims Leader
A leader in automotive claims needed to incorporate 1000’s of fluctuating data points and complex calculations. Previous attempts to build a product failed due to process control and data integrity issues. Contractual obligations required on-premise support.
Automotive Claims Leader Revs Up On-Premise Data Collection Support
Objective:
A leader in automotive claims needed to incorporate 1000’s of fluctuating data points and complex calculations. Previous attempts to build a product failed due to process control and data integrity issues. Contractual obligations required on-premise support.
Solution:
- Innodata built a black box, on-premise decision support tool.
- Employed ML to collect and maintain data from 50 states and thousands of municipalities.
- Innodata integrated the platform with the client’s databases and reporting tools.
Results:
- Value-added product is now considered a market differentiator.
- Customer loyalty and retention rates increased.
- Substantial revenue growth opportunity.
![](https://innodata.com/wp-content/uploads/2022/04/Business-Intelligence-Provider-Brings-Confidence-to-Database-1024x682.jpg)
Data Collection for Leading Financial Intelligence Company
A leading financial intelligence company offers a comprehensive database of information on M&A, IPO, private equity, and venture capital. The company needed an automated solution for the collection, acquisition, and extraction of data for M&A deals.
Data Collection for Leading Financial Intelligence Company
Objective:
A leading financial intelligence company offers a comprehensive database of information on M&A, IPO, private equity, and venture capital. The company needed an automated solution for the collection, acquisition, and extraction of data for M&A deals.
Solution:
- Innodata built custom scripts for automated identification and downloading of source documents and extraction of data points.
- Innodata also provided continuous maintenance and updates of scripts.
Results:
- The customer can offer updates on M&A, IPO, private equity, and venture capital, making their product a world-class financial resource.
- 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, particularly surrounding data collection.