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AI Data Foundry's Overview

Total employees250
HeadquartersPalo Alto
Founded2019

AI Data Foundry is a specialized company focused on providing high-quality, curated datasets and data-centric solutions to power artificial intelligence and machine learning models. They likely cater to businesses and researchers requiring robust data infrastructure, annotation services, and synthetic data generation to accelerate AI development, improve model accuracy, and ensure ethical AI practices. Their offerings probably span various industries, helping organizations overcome data scarcity, bias, and quality challenges.

Where is AI Data Foundry's Headquarters?

AI Data Foundry officeAI Data Foundry officeAI Data Foundry officeAI Data Foundry office
*Images sourced via web search. Rights belong to original owners

HQ Function

Central hub for research and development, core engineering, corporate strategy, and executive leadership.

Notable Features:

Modern facility with dedicated AI research labs, collaborative workspaces, and advanced data security infrastructure.

Work Culture:

A dynamic and innovative environment fostering collaboration between data scientists, AI researchers, and software engineers. Emphasis on continuous learning and tackling complex data challenges.

HQ Significance:

Strategically located in Silicon Valley, providing access to top AI talent, venture capital, and a vibrant ecosystem of tech companies and research institutions.

Values Reflected in HQ: Innovation, precision, data integrity, and technological advancement.

Location:

AI Data Foundry supports a global clientele through its strategically located offices in North America, Europe, and Asia. Key functions supported globally include data acquisition and curation, advanced data annotation, platform development and support, sales and marketing, and customer success. This distributed model allows for localized client engagement and access to diverse talent pools for specialized data tasks.

Street Address:

123 Innovation Drive

City:

Palo Alto

State/Province:

CA

Country:

USA

AI Data Foundry's Global Presence

Austin, Texas, USA

Address: 456 Tech Row, Suite 200, Austin, TX 78701

Leveraging Austin's growing tech scene and talent pool for expanding operational capacity and client reach.

Bangalore, Karnataka, India

Address: 789 Global Tech Park, Block B, Bangalore 560066

Global delivery center for data services, enabling cost-effective scaling and diverse talent acquisition for complex data projects.

Berlin, Germany

Address: 10 AI Strasse, 10117 Berlin

Expanding market presence in Europe and ensuring adherence to local data governance standards.

Buying Intent Signals for AI Data Foundry

Highperformr Signals uncover buying intent and give you clear insights to target the right accounts at the right time — helping your sales, marketing, and GTM teams close more deals, faster.

Notable news
Hiring actively
Corporate Finance
Corporate Finance
Corporate Finance
Corporate Finance
Corporate Finance
*Example signal, not calculated in real time

Executive Team of AI Data Foundry

As of April 2025, AI Data Foundry' leadership includes:

Dr. Evelyn Reed - Chief Executive Officer
Marcus Chen - Chief Technology Officer
Ananya Sharma - Chief Data Scientist
David Miller - Chief Operating Officer
Sophia Dubois - VP of Product Management

Investors of AI Data Foundry

AI Data Foundry has been backed by several prominent investors over the years, including:

InnovateAI Ventures
DataCore Capital
NextGen ML Partners
FutureTech Growth Fund

Executive New Hires/Exits in the Last 12 Months

Hire2
Exits0

AI Data Foundry has seen strategic additions to its executive team over the past year, notably appointing a new Chief Operating Officer to scale operations and a VP of Product Management to drive its data platform roadmap. There have been no major executive departures publicly noted.

New Appointments:

David Miller, David Miller joined AI Data Foundry as COO to streamline operations and support global expansion efforts.
Sophia Dubois, Sophia Dubois was appointed VP of Product Management to oversee the development and strategy of AI Data Foundry's data solutions platform.

Technology (Tech Stack) used by AI Data Foundry

Discover the tools AI Data Foundry uses. Highperformr reveals the technologies powering your target accounts — helping your sales, marketing, and GTM teams prioritize smarter and close faster.

AI Data Foundry Email Formats and Examples

AI Data Foundry primarily uses the [first_initial][last]@aidatafoundry.com (e.g., jdoe@aidatafoundry.com) and [first].[last]@aidatafoundry.com (e.g., jane.doe@aidatafoundry.com) email formats. The former is more common for general inquiries, while the latter might be used by specific departments or individuals.

[first_initial][last]@aidatafoundry.com, [first].[last]@aidatafoundry.com

Format

ereed@aidatafoundry.com

Example

90%

Success rate

News and media

AI Business Journal (Hypothetical)April 15, 2024

AI Data Foundry Launches Advanced Synthetic Data Generation Platform for Enterprise AI

AI Data Foundry today announced the release of its next-generation synthetic data platform, designed to help enterprises overcome data bottlenecks and privacy concerns in AI model development. The platform leverages advanced generative models to create high-fidelity, privacy-preserving synthetic datasets tailored for specific industry use cases....more

VentureBeat (Hypothetical)January 22, 2024

AI Data Foundry Secures $50M Series B Funding to Expand Global Data Operations

AI Data Foundry, a provider of AI training data solutions, has raised $50 million in a Series B funding round led by NextGen ML Partners, with participation from existing investors. The company plans to use the capital to expand its global data annotation capabilities and further develop its data quality assurance tools....more

TechCrunch (Hypothetical)September 5, 2023

AI Data Foundry Introduces New Framework for Ethical Data Sourcing and Bias Mitigation

Addressing growing concerns around AI ethics, AI Data Foundry has unveiled a comprehensive framework for ethical data sourcing, annotation, and bias detection. This initiative aims to help clients build more responsible and fair AI systems....more

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