AI Buyer Insights:

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Hugging Face Data, Technology Stack, and Enterprise Applications
ERP Financial Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Stripe Legacy Stripe Payments Payment Processing ERP Financial Management n/a 2020 2020
HCM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Workable Legacy Workable ATS Applicant Tracking System HCM n/a 2021 2021
AI Development
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Meta Legacy Faiss AI Frameworks and Libraries AI Development n/a 2022 2022
In 2022, Hugging Face integrated Faiss into its Datasets library to provide fast nearest neighbor indexes for semantic search and Retrieval Augmented Generation workflows across its developer platform. This integration situates Faiss within the AI Frameworks and Libraries layer, and it was implemented to support ML engineering use cases focused on vector search and retrieval based augmentation. The implementation exposes a public API, Datasets.add_faiss_index, which creates and persists Faiss indexes directly from dataset objects, enabling in library index creation, queryable nearest neighbor search, and embedding based retrieval pipelines. Faiss is used as the core vector index engine while the Datasets.add_faiss_index API manages index lifecycle, serialization, and access patterns that are consistent with library oriented workflows. Operationally the rollout targeted Hugging Face's global developer audience, with the Datasets.add_faiss_index API documented in the Hugging Face docs and observed in repository issues and community usage from 2022 onward. Governance for the capability is community facing, with public documentation and repository issue activity driving adoption, troubleshooting, and iterative enhancements rather than private enterprise change control.
AI Frameworks and Libraries AI Development 2020 2020
AI infrastructure AI Development 2025 2025
Generative AI Platforms AI Development 2019 2019
ML and Data Science Platforms AI Development 2023 2023
Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Collaboration Collaboration 2023 2023
Collaboration Collaboration 2017 2017
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Marketing Analytics CRM 2023 2023
Tag Management CRM 2023 2023
PaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Apps Development PaaS 2022 2022
Apps Development PaaS 2023 2023
Apps Development PaaS 2022 2022
Apps Development PaaS 2024 2024
Transactional Email PaaS 2017 2017
Transactional Email PaaS 2022 2022
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2021 2021
Application Hosting and Computing Services IaaS 2017 2017
Application Hosting and Computing Services IaaS 2018 2018
Cloud Storage IaaS 2016 2016
Content Delivery Network IaaS 2023 2023
Content Delivery Network IaaS 2020 2020
Content Delivery Network IaaS 2017 2017
Database Management IaaS 2024 2024
Database Management, Open-Source Database IaaS 2022 2022
Domain Name System (DNS) IaaS 2020 2020
CyberSecurity
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Identity and Access Management (IAM) CyberSecurity 2023 2023
Network Detection and Response (NDR) CyberSecurity 2023 2023
Threat Modeling, Vulnerability Management CyberSecurity 2024 2024
IT Decision Makers and Key Stakeholders at Hugging Face
First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by Hugging Face Executives
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Hugging Face Technographics

Hugging Face is a Professional Services organization based in United States, with around 500 employees and annual revenues of $50.0 million.

Hugging Face operates a diverse technology stack with applications such as Stripe Payments, Workable ATS and Faiss, covering areas like Payment Processing, Applicant Tracking System and AI Frameworks and Libraries.

Hugging Face has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Stripe, Workable and Meta.

Hugging Face recently adopted applications including Cerebras Cloud in 2025, Rerun Platform in 2024 and DuckDB in 2024, highlighting its ongoing modernization strategy.

APPS RUN THE WORLD maintains an up-to-date database of Hugging Face’s key decision makers and IT executives, available to Premium subscribers.

Our research team continuously updates Hugging Face’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.

Subscribe to APPS RUN THE WORLD to access the complete Hugging Face technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.