Solutions
Data Collection & Creation
Capture, Source, & Generate High-Quality Data to Scale Model Development
Customized Natural and Synthetic Data Collection for AI Model Training
Let Innodata source, collect, and generate speech, audio, image, video, text, and document data for AI and ML model development. With 40+ languages supported across the globe and customized data collection and generation offerings to meet any industry domain need, we offer a one-stop-shop for web, internal, or external data collection and generation.
Global Footprint & Delivery
With multiple global delivery centers, Innodata can deliver diverse datasets of various data types in 40+ languages for all your AI/ML training data needs.
Specialized Domain Expertise
Our 4,000+ global subject matter experts work across multiple industries with experience handling large amounts of data, ensuring data quality, and are ready for any industry-specific use case.
Data & Sample Requirement Flexibility
Innodata can provide high-quality data within any project prerequisite, such as overall sample size, number of variations, natural vs. synthetic generation, and natural environments vs. staged scenarios.
Your Data, Secured
Innodata's highly secured infrastructure, humans-in-the-loop, and QA audit process ensure your collected or generated data stays compliant.
Text and Document Data Collection and Creation Services
With Innodata’s suite of text and document data collection and synthetic generation services, you can scale your AI models and ensure model flexibility with high-quality and diverse text data in multiple languages and formats. Let Innodata’s global network of 4,000+ experts, including native speakers of 40+ languages, collect or create the data you need for any initiative.
Diverse Datasets
From receipts to online news articles to chatbot intents/utterances, we can collect or generate world-class custom text and document datasets to train your AI/ML models.
Multilingual Text Data
With our global network of native speakers, Innodata can collect, source, and validate the text data you require in 40+ major languages.
Data-Centric Capture
From web acquisition to scenario-based data capture, Innodata’s approach helps jump-start your models with the highest quality labeled text and document data for your AI/ML models.
Industry-Ready,
Domain-Specific
With our workforce of 4,000+ domain-specific global SMEs in healthcare, legal, financial, and more, you can rely on Innodata to source, capture, generate, or validate exceptional text and document data for any industry-specific use case with confidence.
Synthetic Text Generation
When natural text data isn’t sufficient, or your initiatives need to be void of PPI, we can provide manufactured text data. For on-demand high-quality datasets of synthetic data for bank statements, utility bills, invoices, and more, check out our AI Data Marketplace.
Image and Video Data Collection and Curation Services
Innodata’s image and video data collection and creation services allow you to ensure model flexibility and scale your AI models with high-quality and diverse data in multiple formats and languages. Let Innodata’s global network of 4,000+ experts, including native speakers of 40+ languages, collect or create the image and video data you need for any initiative.
Diverse Subject Traits
Innodata can collect image and video data with diverse cultural, demographic (like gender and age), sentiment, intent, and biometric characteristics — allowing model flexibility for any use case.
Multi-Format Data Types
Innodata can collect or generate image and video data for any use case and domain. From self-checkout and CCTV data to drone and ADAS data, we can produce the data you need.
Custom Scenarios
With our network of global subject matter experts, we can provide multi-scenario and actor-based scenario image and video data for your initiatives in 40+ languages.
Mixed Data Collection Types
Innodata provides a wide range of collecting device scenarios for AI initiatives, like image and video data recorded on hand-held tech, autonomous car video data, drone video, CCTV/surveillance footage, or production line cameras.
Use Case and Domain
Ready
With our global workforce of domain-specific SMEs in healthcare, legal, finance, and more, you can rely on Innodata to source, collect, generate, or validate exceptional image and video data for any industry-specific use case with confidence.
Speech and Audio Data Collection and Creation Services
With Innodata’s full suite of audio and speech data collection services, you can scale your AI models and ensure model flexibility with high-quality and diverse data in multiple languages, dialects, demographics, speaker traits, dialogue types, environments, and scenarios. Let Innodata’s global network of 4,000+ experts, including native speakers of 40+ languages, capture the samples you need for any initiative.
Mixed Environmental and Acoustic Settings
From field-recorded audio (like in-home, restaurants, and gyms) to in-studio recordings, our diverse situational audio and speech data can serve any use case.
Custom Scenarios
With our network of global subject matter experts and in-country native-speaking teams, we can provide multi-scenario and actor-based scenario recordings for your initiatives in 40+ languages.
Diverse Speaker Traits
Innodata can collect audio and speech data with diverse cultural, demographic (like gender and age), sentiment, intent, and linguistic characteristics.
Various Dialogue
Types
Access to multiple speech dialogue traits, like one-speaker (monologue), dual-speaker, multi-speaker conversations, the number of utterances per speaker, and scripted vs. spontaneous speech.
Mixed Data Collection Types
Innodata provides a wide range of collecting device scenarios for any AI initiative, like audio recorded on hand-held tech, telephones, speakers, or computers.
Data Collection & Generation Customer Success Stories
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.
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.
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.