Hugging Face users list

Email list of companies using Hugging Face

Q: How many companies use Hugging Face?

Data InfoMetrix tracks 38,452 companies using Hugging Face, with 286,117 verified contacts at those accounts as of October 2026. The largest groups are Autonomous Vehicles & Robotics, Pharmaceuticals & Drug Discovery and Financial Quantitative Research. Counts are estimates from our database and market research, so ask us for a live count for your exact criteria.

Q: Who buys and manages Hugging Face inside a company?

Hugging Face is usually owned by AI Research, Machine Learning Engineering & Open-Source AI Leadership. Decision-makers include Head of AI Research, VP Machine Learning and Chief AI Officer; Principal ML Scientist and Staff MLOps Engineer shape the choice, and Machine Learning Engineers and Data Scientists use it day to day. Our Hugging Face list can include any of these roles.

Q: Which Hugging Face products or editions can I target?

You can target accounts by the Hugging Face products they run, including Hugging Face Enterprise Hub, Hugging Face Dedicated Inference Endpoints, Transformers & Diffusers Libraries, Optimum Hardware Acceleration and AutoTrain No-Code Fine-Tuning. Tell us which edition or module matters and we filter the list to those accounts.

Q: What does Hugging Face integrate with?

Hugging Face is most often connected to PyTorch, AWS SageMaker, LangChain, vLLM and Docker, so users of those tools overlap heavily with Hugging Face accounts. We can filter any list by this kind of stack overlap.

Q: What are the main alternatives to Hugging Face?

The main alternatives to Hugging Face are Weights & Biases, AWS Bedrock, Replicate and OpenAI. We also keep verified user lists for AWS Bedrock, Replicate and OpenAI, which is useful for competitive displacement campaigns.

Q: Can Data InfoMetrix deliver a free sample Hugging Face contact list before ordering?

Yes. Data InfoMetrix delivers a complimentary 10-record sample tailored to your target Hugging Face criteria—including target job titles, company size, and region—delivered within one business day with no obligation.

Q: How does Data InfoMetrix guarantee email deliverability for Hugging Face contacts?

Data InfoMetrix provides a 99% email deliverability guarantee on all Hugging Face datasets. Every contact record undergoes real-time email verification within a 30 to 45-day refresh cycle, backed by a 1:1 hard bounce replacement policy for 30 days after delivery.

Connect with verified Heads of AI Research, Principal ML Engineers, and Data Science Directors deploying models from Hugging Face Hub, Inference Endpoints, and Transformers. You can filter by enterprise organization tier and verified direct dials with 99% deliverability.

38,452+Companies

286,117+Contacts

Updated Oct 7, 2026GDPR · CCPA99% accuracy

See sample data

Free Hugging Face count + 10 sample records

38,452+ companies · 286,117+ contacts available

✓Exact count for your titles, regions and company size
✓10 verified sample records to check quality
✓Price quote within 1 business day

Trusted by B2B and enterprise revenue teams

How many companies use Hugging Face?

Data InfoMetrix tracks 38,452+ companies running Hugging Face as of October 2026, with 286,117+ verified contacts at those accounts. The largest groups are Autonomous Vehicles & Robotics, Pharmaceuticals & Drug Discovery and Financial Quantitative Research. Buying decisions usually sit with the Head of AI Research, VP Machine Learning and Chief AI Officer. Counts are estimates built from technology footprint scans, job-post signals and partner directories, checked by our research team. How we count

Tracked accounts38,452+

Organizations detected running Hugging Face.

Verified contacts286,117+

Direct emails and phone dials for decision-makers.

Primary personasHead of AI Research, VP Machine Learning, Principal ML Scientist

Full buying committee mapped.

Deliverability SLA99%

SMTP-verified, with 1:1 replacement of any email that hard bounces within 30 days.

Data specification · Updated Q4 2026

Technology category	AI Infrastructure & LLM Ops
Tracked organizations	38,452+ verified accounts worldwide
Decision-maker contacts	286,117+ records with emails, mobile and direct dials
Key roles	Head of AI Research, VP Machine Learning, Principal ML Scientist, platform administrators, IT directors, procurement
Geography	180+ countries · country-by-country counts on request
Verification	DNS and script telemetry, 5-stage SMTP handshake, manual research
Refresh cadence	Continuous, 30–45 day maximum record age at delivery
Compliance	GDPR, CAN-SPAM, CCPA and CASL
Delivery	24–48 hours as CSV, XLSX or CRM API

Editorial & verification

Researched by the Data InfoMetrix research team. Counts updated October 2026.

How we count and verify data

Size your Hugging Face audience

Pick a region, company size and buying role to estimate how many accounts and contacts you can reach.

Region

Company size

Buying role

Estimated segment✓ 99% SLA

38,452+Target accounts

286,117+Direct contacts

Decision-makers35%

Influencers45%

End users20%

Estimates from our current Hugging Face dataset. Exact counts come with your quote.

Reach the whole buying committee

A Hugging Face account is not one contact. We map the people who evaluate, buy, run and use it across AI Research, Machine Learning Engineering & Open-Source AI Leadership.

Decision-makersC-suite & sponsors

Head of AI ResearchVP Machine LearningChief AI Officer

Influencers & adminsEvaluate & configure

Principal ML ScientistStaff MLOps Engineer

End usersRun it every day

Machine Learning EngineersData ScientistsAI Researchers

These are examples. We build records for any department, seniority or custom title.

See exactly what you get

Every record carries 60+ fields, from verified email, direct dial and LinkedIn to full postal address, Hugging Face edition, coexisting stack and intent.

Contact	Buying role	Work email	Direct dial	Company phone	Fax	LinkedIn profile	Company	LinkedIn company page	Industry	Address 1	Address 2	City	State	ZIP code	Country	Hugging Face footprint	Intent	Status
ATDr. Aris ThorneChief AI Officer (CAIO)	Decision Maker	a.th**@cogniti*****.io	+1 (415) 55*-**	+1 (415) 55*-**	+1 (415) 55*-**	linkedin.com/in/a*s-th******	CognitiveScale Enterprise AI Systems Inc.	linkedin.com/company/cognitivescale-ai	Applied AI & Autonomous Agent Platforms	100 Pine St	Ste 2400	San Francisco	CA	94111	United States	Hugging Face Enterprise AI Infrastructure & Cloud Cluster	High	✓ Verified 2026
NSNaveen SwaminathanVP of AI Engineering & LLMOps Architecture	Decision Maker	n.swa***@synapse*****.com	+1 (617) 55*-**	+1 (617) 55*-**	+1 (617) 55*-**	linkedin.com/in/n*en-swa*******	Synapse Biotech AI Discovery Inc.	linkedin.com/company/synapse-biotech-ai	Biotechnology & Computational Drug Discovery	500 Technology Square	—	Cambridge	MA	02139	United States	Hugging Face LLM Observability, Evaluation & Prompt Tracing	High	✓ Verified 2026
HLHannah LindqvistHead of Semantic Search & Vector Retrieval	Decision Maker	h.lin**@stockh***.se	+46 (8) 55*-**	+46 (8) 55*-**	+46 (8) 55*-**	linkedin.com/in/h*ah-li*******	Stockholm Neural Search Solutions AB	linkedin.com/company/stockholm-neural-search	E-Commerce Semantic Search & Discovery	Sveavägen 44	—	Stockholm	Stockholm County	111 34	Sweden	Hugging Face Vector Database & Approximate Nearest Neighbor Indexing	High	✓ Verified 2026
CVCameron VanceLead Machine Learning Infrastructure Architect	Influencer	c.va**@apexfin****.com	+1 (212) 55*-**	+1 (212) 55*-**	+1 (212) 55*-**	linkedin.com/in/c*ron-v*******	Apex FinTech Neural Analytics LLC	linkedin.com/company/apex-fintech-neural	Financial Market Prediction & Fraud Telemetry	1301 Ave of the Americas	—	New York	NY	10019	United States	Hugging Face High-Throughput Inference & Speculative Decoding	High	✓ Verified 2026
ERDr. Evelyn RousseauDirector of Applied NLP & RAG Systems	Influencer	e.rou**@parishe****.fr	+33 (1) 45*-**	+33 (1) 45*-**	+33 (1) 45*-**	linkedin.com/in/e*yn-ro*******	Paris Clinical Intelligence Labs SAS	linkedin.com/company/paris-clinical-ai	Clinical Decision Support & Biomedical NLP	15 Boulevard Saint-Germain	—	Paris	Île-de-France	75005	France	Hugging Face Enterprise RAG Pipeline & Semantic Knowledge Search	Medium	✓ Verified 2026
DCDarren CrossHead of Developer Experience & AI Tooling	Decision Maker	d.cr**@acceler*****.com	+1 (206) 55*-**	+1 (206) 55*-**	+1 (206) 55*-**	linkedin.com/in/d*en-cr******	Accelerate Cloud Engineering Corp	linkedin.com/company/accelerate-cloud-eng	Enterprise Cloud Systems & Developer Platforms	1201 3rd Ave	Ste 2200	Seattle	WA	98101	United States	Hugging Face AI Code Generation & Developer Productivity Platform	High	✓ Verified 2026
AMAlistair MontgomeryLead AI Safety & Guardrails Engineer	Practitioner	a.mon**@edinburghf*******.uk	+44 (131) 55*-**	+44 (131) 55*-**	+44 (131) 55*-**	linkedin.com/in/a*air-mo*******	Edinburgh Quantitative Systems Ltd	linkedin.com/company/edinburgh-quant-sys	Automated Financial Advisory & Wealth Management	1 Lochside Ave	—	Edinburgh	Midlothian	EH12 9DJ	United Kingdom	Hugging Face Agentic Workflow Execution & Guardrail Enforcement	Medium	✓ Verified 2026
KMKenichi MurataSenior Distributed AI Platform Engineer	Practitioner	k.mu**@kyotone*****.jp	+81 (75) 55*-**	+81 (75) 55*-**	+81 (75) 55*-**	linkedin.com/in/k*chi-m*******	Kyoto Neural Robotics Systems KK	linkedin.com/company/kyoto-neural-robotics	Robotics & Autonomous Machine Vision	Kyoto Research Park	Bldg 4	Kyoto	Kyoto Prefecture	600-8815	Japan	Hugging Face Model Training & Distributed GPU Optimization	High	✓ Verified 2026

Illustrative rows showing 20 of 60+ fields. Full records are unmasked.

We deliver 60+ data fields per record, including intent data. The sample shows a selection only. Tell us which fields you need, including any that aren't listed here, and we'll add them to your list.

Also available:Seniority & departmentJob functionTenure in roleEmployee countAnnual revenueSIC & NAICS codesParent companyWebsite & domainProduct editionContract & renewal timingIntent topics & scoreEmail verification date

How we prove an account runs Hugging Face

No scraped résumés or stale directories. Three layers confirm a live installation before a contact reaches your list. Read our verification protocol

Pillar 1 · Telemetry

Live DNS & script signals

We inspect response headers, DNS MX and CNAME records and live JavaScript bundles to confirm a running Hugging Face instance.

DNS · CNAME · MX recordsHTTP headers · JS bundles✓ Verified against live infrastructure

Pillar 2 · Operational intent

90-day hiring signals

We track job requisitions that ask for Hugging Face skills, which shows ongoing budget and headcount.

Now hiringHugging Face Administrator

Now hiringHugging Face Architect

Now hiringHugging Face Engineer

Pillar 3 · Human & mailbox QA

Pre-delivery SMTP handshake

Each email is tested against the destination mail server, and titles are checked against current company rosters.

SMTP check ✓LinkedIn match ✓Title verified ✓

✓ Deliverable inbox and current role

Deliverability SLA

<3%

Maximum bounce rate, or we replace the contacts. Your sender reputation stays clean.

1:1 hard bounce replacement

Every email that hard-bounces within 30 days of delivery is replaced free, record for record.

24-hour pre-delivery ping

Live SMTP and MX checks right before we send your file.

Instant CRM import

Clean CSV or XLSX, ready for one-click import.

Ready for your outbound stack

Imports straight into the tools you use.

What are you trying to do?

Each campaign needs a different data strategy. Pick your goal to see how we build the audience.

Find companies on rival platforms and reach the people evaluating a move to, or away from, Hugging Face.

Conquesting playbook

Pitch integrations, add-ons and complementary tools to companies already running Hugging Face.

Ecosystem playbook

Build account lists around Hugging Face deployment scale and engage the full committee across departments.

ABM playbook

Conquesting audienceSample

Weights & Biases

AWS Bedrock

Replicate

→

Hugging Face

Know the stack around every account

Hugging Face rarely runs alone. Every record is tagged with the tools detected alongside it, so you can segment by complementary stacks.

NVIDIA CUDA

AWS SageMaker

Weights & Biases

Open the coexistence matrix

What Hugging Face customers look like

Anonymised profiles of companies in our Hugging Face dataset of 38,452+ accounts. Named accounts are shared in your free sample, never on a public page.

Hugging Face account profiles · anonymised

Company size	Industry	Country	Employees	Revenue
Upper mid-market	Autonomous Vehicles & Robotics	United States	1,000–4,999	$250M–$1B
SMB	Pharmaceuticals & Drug Discovery	United States	50–199	$10M–$50M
Enterprise	Financial Quantitative Research	United Kingdom	10,000+	$5B+
Mid-market	High-Scale Tech Labs	United States	500–999	$100M–$250M
Mid-market	Autonomous Vehicles & Robotics	Canada	200–999	$50M–$250M
Enterprise	Pharmaceuticals & Drug Discovery	Germany	5,000+	$1B+
Upper mid-market	Financial Quantitative Research	United States	1,000–4,999	$250M–$1B
SMB	High-Scale Tech Labs	Australia	50–199	$10M–$50M

Markets we cover

United States

India

United Kingdom

Canada

Germany

Australia

Singapore

France

New Zealand

Netherlands

Plus 170 more countries. Ask for a country-by-country count of Hugging Face accounts and we'll include it with your free sample.

Build the list your way

Every list is assembled from source to your product tier, job function, geography and revenue band. Nothing is a fixed export.

Editions & modules

Filter by what they actually run.

+Hugging Face Enterprise Hub+Hugging Face Dedicated Inference Endpoints+Transformers & Diffusers Libraries+Optimum Hardware Acceleration+AutoTrain No-Code Fine-Tuning

Firmographics

Match revenue, size and industry.

+Industry+$1M–$10B+ revenue+Headcount+Ownership & funding+HQ & branches

Geography

Target any territory.

+US & Canada+US states+UK, DACH, Nordics+APAC & ANZ+Metro clusters

Need multi-attribute segments? Open the Audience Builder

What Hugging Face teams are struggling with

Know the friction before you reach out, and position your product where it matters.

Friction 1

GPU Allocation Latency & Runaway Cluster Compute Inefficiencies in Hugging Face

ImpactAI engineering teams face massive cloud GPU spend while clusters sit underutilized during off-peak inference cycles.

OpportunityGPU orchestration platforms, dynamic batching engines, model quantization, and serverless AI infrastructure.

Friction 2

Vector Database Latency Spikes & RAG Retrieval Hallucinations

ImpactEnterprise LLM applications suffer from slow response times and inaccurate context embeddings in production.

OpportunityHigh-throughput vector indexing, hybrid keyword-semantic search, and automated RAG evaluation frameworks.

Friction 3

Data Quality, Annotation Bottlenecks & Drift in Fine-Tuning Pipelines

ImpactModels degrade in production accuracy as input telemetry shifts, risking incorrect enterprise outputs.

OpportunityAutomated data labeling, synthetic dataset generation, and continuous model observability monitoring.

Intent triggers we track

✓Scaling distributed LLM inference clusters on Hugging Face

✓Migrating model training workloads to cost-optimized cloud GPUs

✓Deploying production RAG vector search pipelines and embeddings

✓Implementing model evaluation, guardrails, and telemetry observability

“When you talk to companies who already use Snowflake and AWS about a native integration, the conversion rate skyrockets. Data InfoMetrix gave us the exact user list we needed.”

Director of Growth, a data integration companyName withheld at the client's request

Read the 6.8% Response case study

Hugging Face list questions, answered

How many companies use Hugging Face?

Data InfoMetrix tracks 38,452 companies using Hugging Face, with 286,117 verified contacts at those accounts as of October 2026. The largest groups are Autonomous Vehicles & Robotics, Pharmaceuticals & Drug Discovery and Financial Quantitative Research. Counts are estimates from our database and market research, so ask us for a live count for your exact criteria.

Who buys and manages Hugging Face inside a company?

Hugging Face is usually owned by AI Research, Machine Learning Engineering & Open-Source AI Leadership. Decision-makers include Head of AI Research, VP Machine Learning and Chief AI Officer; Principal ML Scientist and Staff MLOps Engineer shape the choice, and Machine Learning Engineers and Data Scientists use it day to day. Our Hugging Face list can include any of these roles.

Which Hugging Face products or editions can I target?

You can target accounts by the Hugging Face products they run, including Hugging Face Enterprise Hub, Hugging Face Dedicated Inference Endpoints, Transformers & Diffusers Libraries, Optimum Hardware Acceleration and AutoTrain No-Code Fine-Tuning. Tell us which edition or module matters and we filter the list to those accounts.

What does Hugging Face integrate with?

Hugging Face is most often connected to PyTorch, AWS SageMaker, LangChain, vLLM and Docker, so users of those tools overlap heavily with Hugging Face accounts. We can filter any list by this kind of stack overlap.

What are the main alternatives to Hugging Face?

The main alternatives to Hugging Face are Weights & Biases, AWS Bedrock, Replicate and OpenAI. We also keep verified user lists for AWS Bedrock, Replicate and OpenAI, which is useful for competitive displacement campaigns.

Can Data InfoMetrix deliver a free sample Hugging Face contact list before ordering?

Yes. Data InfoMetrix delivers a complimentary 10-record sample tailored to your target Hugging Face criteria—including target job titles, company size, and region—delivered within one business day with no obligation.

How does Data InfoMetrix guarantee email deliverability for Hugging Face contacts?

Data InfoMetrix provides a 99% email deliverability guarantee on all Hugging Face datasets. Every contact record undergoes real-time email verification within a 30 to 45-day refresh cycle, backed by a 1:1 hard bounce replacement policy for 30 days after delivery.

Sourcing and compliance. Business contacts come from public company sources, professional directories and opt-in publishing partners, then go through SMTP verification and human review. Lists are for B2B outreach: include an unsubscribe link and honour opt-outs (CAN-SPAM), and have a lawful basis such as legitimate interest when you email people in the EU or UK (GDPR). Read how we source and verify data