Pinecone Vector DB users list

Email list of companies using Pinecone Vector DB

Q: How many companies use Pinecone Vector DB?

Data InfoMetrix tracks 6,007 companies using Pinecone Vector DB, with 27,087 verified contacts at those accounts as of October 2026. The largest groups are Enterprise Generative AI & Copilots, LegalTech & Regulatory Contract Intelligence and E-Commerce Semantic Product Search. 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 Pinecone Vector DB inside a company?

Pinecone Vector DB is usually owned by AI Platform Engineering, Semantic Search & Applied ML Leadership. Decision-makers include Chief AI Officer (CAIO), Head of AI Engineering and VP Machine Learning; Principal AI Architect and Lead MLOps Engineer shape the choice, and AI Engineers and Machine Learning Scientists use it day to day. Our Pinecone Vector DB list can include any of these roles.

Q: Which Pinecone Vector DB products or editions can I target?

You can target accounts by the Pinecone Vector DB products they run, including Pinecone Serverless (Pay-per-query Vector Storage), Pinecone Pod-Based Enterprise Clusters (Dedicated Compute), Pinecone Integrated Inference (Built-in Embedding Generation), Pinecone Namespaces & Multi-Tenant Metadata Filtering and Pinecone Hybrid Sparse-Dense Keyword Search. Tell us which edition or module matters and we filter the list to those accounts.

Q: What does Pinecone Vector DB integrate with?

Pinecone Vector DB is most often connected to OpenAI, LangChain, LlamaIndex, Cohere and AWS, so users of those tools overlap heavily with Pinecone Vector DB accounts. We can filter any list by this kind of stack overlap.

Q: What are the main alternatives to Pinecone Vector DB?

The main alternatives to Pinecone Vector DB are Weaviate, Qdrant, Milvus and Chroma. We also keep verified user lists for Weaviate, Qdrant and Milvus, which is useful for competitive displacement campaigns.

Q: What challenges do Pinecone Vector DB customers face?

Common challenges for Pinecone Vector DB accounts include Embedding Model Upgrades & Complete Vector Re-Indexing Costs, P99 Query Latency Spikes During High-Metadata Filter Queries and Cold-Start Serverless Latency & Chunking Chunk Governance. When foundation model providers release new embedding dimensions (e.g., migrating from text-embedding-ada-002 to text-embedding-3-large), AI engineering teams face the daunting cost and downtime of re-generating and re-indexing hundreds of millions of vectors. These are good angles for outreach to Pinecone Vector DB users.

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

Yes. Data InfoMetrix delivers a complimentary 10-record sample tailored to your target Pinecone 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 Pinecone contacts?

Data InfoMetrix provides a 99% email deliverability guarantee on all Pinecone 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 Engineering, Principal AI Architects, and VP Applied ML running Pinecone serverless vector databases. You can filter by vector index scale (millions to billions of vectors), embedding model integration, and verified direct dials with 99% deliverability.

6,007+Companies

27,087+Contacts

Updated Oct 7, 2026GDPR · CCPA99% accuracy

See sample data

Free Pinecone Vector DB count + 10 sample records

6,007+ companies · 27,087+ 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 Pinecone Vector DB?

Data InfoMetrix tracks 6,007+ companies running Pinecone Vector DB as of October 2026, with 27,087+ verified contacts at those accounts. The largest groups are Enterprise Generative AI & Copilots, LegalTech & Regulatory Contract Intelligence and E-Commerce Semantic Product Search. Buying decisions usually sit with the Chief AI Officer (CAIO), Head of AI Engineering and VP Machine Learning. Counts are estimates built from technology footprint scans, job-post signals and partner directories, checked by our research team. How we count

Tracked accounts6,007+

Organizations detected running Pinecone Vector DB.

Verified contacts27,087+

Direct emails and phone dials for decision-makers.

Primary personasHead of AI Engineering, VP of Applied Machine Learning, Chief AI Officer (CAIO)

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	6,007+ verified accounts worldwide
Decision-maker contacts	27,087+ records with emails, mobile and direct dials
Key roles	Head of AI Engineering, VP of Applied Machine Learning, Chief AI Officer (CAIO), 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 Pinecone Vector DB 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

6,007+Target accounts

27,087+Direct contacts

Decision-makers35%

Influencers45%

End users20%

Estimates from our current Pinecone Vector DB dataset. Exact counts come with your quote.

Reach the whole buying committee

A Pinecone Vector DB account is not one contact. We map the people who evaluate, buy, run and use it across AI Platform Engineering, Semantic Search & Applied ML Leadership.

Decision-makersC-suite & sponsors

Chief AI Officer (CAIO)Head of AI EngineeringVP Machine LearningChief Technology Officer (CTO)

Influencers & adminsEvaluate & configure

Principal AI ArchitectLead MLOps EngineerSenior Search ScientistCloud Security Architect

End usersRun it every day

AI EngineersMachine Learning ScientistsBackend GenAI DevelopersData Engineers

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, Pinecone Vector DB 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	Pinecone Vector DB 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	Pinecone Serverless Vector Database (Multi-Tenant High-Throughput Pods)	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	Pinecone Metadata Filtering & Real-Time Namespace Partitioning	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	Pinecone Hybrid Keyword & Dense Semantic Search Engine	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	Pinecone Approximate Nearest Neighbor (ANN) Graph Indexing	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	Pinecone Vector Ingestion Pipeline + Kafka Connector	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	Pinecone Backup & Restore for Mission-Critical Knowledge Stores	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	Pinecone Cross-Region Multi-Cluster Replication	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	Pinecone Enterprise Private Endpoints & HIPAA Authorization	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 Pinecone Vector DB

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 Pinecone Vector DB 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 Pinecone Vector DB skills, which shows ongoing budget and headcount.

Now hiringPinecone Vector DB Administrator

Now hiringPinecone Vector DB Architect

Now hiringPinecone Vector DB 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, Pinecone Vector DB.

Conquesting playbook

Pitch integrations, add-ons and complementary tools to companies already running Pinecone Vector DB.

Ecosystem playbook

Build account lists around Pinecone Vector DB deployment scale and engage the full committee across departments.

ABM playbook

Conquesting audienceSample

Weaviate

Qdrant

Milvus

→

Pinecone Vector DB

Know the stack around every account

Pinecone Vector DB 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 Pinecone Vector DB customers look like

Anonymised profiles of companies in our Pinecone Vector DB dataset of 6,007+ accounts. Named accounts are shared in your free sample, never on a public page.

Pinecone Vector DB account profiles · anonymised

Company size	Industry	Country	Employees	Revenue
Enterprise	LegalTech & Regulatory Contract Intelligence	United States	10,000+	$5B+
Mid-market	E-Commerce Semantic Product Search	Australia	500–999	$100M–$250M
Mid-market	FinTech Market Research & Analysis	United States	200–999	$50M–$250M
Enterprise	Healthcare Clinical Research & Drug Discovery	United States	5,000+	$1B+
Upper mid-market	Enterprise Generative AI & Copilots	United Kingdom	1,000–4,999	$250M–$1B
SMB	LegalTech & Regulatory Contract Intelligence	United States	50–199	$10M–$50M
Enterprise	E-Commerce Semantic Product Search	Canada	10,000+	$5B+
Mid-market	FinTech Market Research & Analysis	Germany	500–999	$100M–$250M

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 Pinecone Vector DB 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.

+Pinecone Serverless (Pay-per-query Vector Storage)+Pinecone Pod-Based Enterprise Clusters (Dedicated Compute)+Pinecone Integrated Inference (Built-in Embedding Generation)+Pinecone Namespaces & Multi-Tenant Metadata Filtering+Pinecone Hybrid Sparse-Dense Keyword Search

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 Pinecone Vector DB 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 Pinecone Vector DB

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 Pinecone Vector DB

✓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

Pinecone Vector DB list questions, answered

How many companies use Pinecone Vector DB?

Data InfoMetrix tracks 6,007 companies using Pinecone Vector DB, with 27,087 verified contacts at those accounts as of October 2026. The largest groups are Enterprise Generative AI & Copilots, LegalTech & Regulatory Contract Intelligence and E-Commerce Semantic Product Search. Counts are estimates from our database and market research, so ask us for a live count for your exact criteria.

Who buys and manages Pinecone Vector DB inside a company?

Pinecone Vector DB is usually owned by AI Platform Engineering, Semantic Search & Applied ML Leadership. Decision-makers include Chief AI Officer (CAIO), Head of AI Engineering and VP Machine Learning; Principal AI Architect and Lead MLOps Engineer shape the choice, and AI Engineers and Machine Learning Scientists use it day to day. Our Pinecone Vector DB list can include any of these roles.

Which Pinecone Vector DB products or editions can I target?

You can target accounts by the Pinecone Vector DB products they run, including Pinecone Serverless (Pay-per-query Vector Storage), Pinecone Pod-Based Enterprise Clusters (Dedicated Compute), Pinecone Integrated Inference (Built-in Embedding Generation), Pinecone Namespaces & Multi-Tenant Metadata Filtering and Pinecone Hybrid Sparse-Dense Keyword Search. Tell us which edition or module matters and we filter the list to those accounts.

What does Pinecone Vector DB integrate with?

Pinecone Vector DB is most often connected to OpenAI, LangChain, LlamaIndex, Cohere and AWS, so users of those tools overlap heavily with Pinecone Vector DB accounts. We can filter any list by this kind of stack overlap.

What are the main alternatives to Pinecone Vector DB?

The main alternatives to Pinecone Vector DB are Weaviate, Qdrant, Milvus and Chroma. We also keep verified user lists for Weaviate, Qdrant and Milvus, which is useful for competitive displacement campaigns.

What challenges do Pinecone Vector DB customers face?

Common challenges for Pinecone Vector DB accounts include Embedding Model Upgrades & Complete Vector Re-Indexing Costs, P99 Query Latency Spikes During High-Metadata Filter Queries and Cold-Start Serverless Latency & Chunking Chunk Governance. When foundation model providers release new embedding dimensions (e.g., migrating from text-embedding-ada-002 to text-embedding-3-large), AI engineering teams face the daunting cost and downtime of re-generating and re-indexing hundreds of millions of vectors. These are good angles for outreach to Pinecone Vector DB users.

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

Yes. Data InfoMetrix delivers a complimentary 10-record sample tailored to your target Pinecone 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 Pinecone contacts?

Data InfoMetrix provides a 99% email deliverability guarantee on all Pinecone 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