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Bland AI users list

Email list of companies using Bland AI

Connect with Heads of AI Engineering, VP Machine Learning, and LLMOps Leads building production GenAI applications with Bland AI. You can filter by inference scale and token budget.

3,400+Companies
16,500+Contacts
Updated Oct 7, 2026GDPR · CCPA99% accuracy
See sample data

Free Bland AI count + 10 sample records

3,400+ companies · 16,500+ contacts available

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

✓ No credit card✓ Reply within 1 business day✓ 1:1 hard bounce replacement within 30 days✓ We never share your details

Trusted by B2B and enterprise revenue teams

IBMRed HatSiemensAbbottReutersimmixGroup

How many companies use Bland AI?

Data InfoMetrix tracks 3,400+ companies running Bland AI as of October 2026, with 16,500+ verified contacts at those accounts. The largest groups are Generative AI Startups & Labs, Enterprise Applied AI Divisions and FinTech AI & Fraud Modeling. Buying decisions usually sit with the Chief AI Officer (CAIO), VP of Machine Learning and Head of AI Engineering. Counts are estimates built from technology footprint scans, job-post signals and partner directories, checked by our research team. How we count

Tracked accounts3,400+

Organizations detected running Bland AI.

Verified contacts16,500+

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 categoryAI Infrastructure & LLM Ops
Tracked organizations3,400+ verified accounts worldwide
Decision-maker contacts16,500+ records with emails, mobile and direct dials
Key rolesHead of AI Engineering, VP of Applied Machine Learning, Chief AI Officer (CAIO), platform administrators, IT directors, procurement
Geography180+ countries · country-by-country counts on request
VerificationDNS and script telemetry, 5-stage SMTP handshake, manual research
Refresh cadenceContinuous, 30–45 day maximum record age at delivery
ComplianceGDPR, CAN-SPAM, CCPA and CASL
Delivery24–48 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
See 10 records first

Matched to your ICP filters, free.

Size your Bland AI 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
3,400+Target accounts
16,500+Direct contacts
Decision-makers35%
Influencers45%
End users20%

Estimates from our current Bland AI dataset. Exact counts come with your quote.

Reach the whole buying committee

A Bland AI account is not one contact. We map the people who evaluate, buy, run and use it across AI Engineering, Applied Machine Learning & LLMOps Leadership.

Decision-makersC-suite & sponsors
Chief AI Officer (CAIO)VP of Machine LearningHead of AI EngineeringChief Technology Officer (CTO)
Influencers & adminsEvaluate & configure
Lead LLMOps EngineerPrincipal AI ArchitectSenior ML EngineerData Science Lead
End usersRun it every day
AI EngineersMachine Learning ScientistsPrompt EngineersBackend GenAI Developers

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, Bland AI edition, coexisting stack and intent.

Installed tech = Bland AIRegion: GlobalRole: Whole committeeIllustrative sample
ContactBuying roleWork emailDirect dialCompany phoneFaxLinkedIn profileCompanyLinkedIn company pageIndustryAddress 1Address 2CityStateZIP codeCountryBland AI footprintCoexisting stackIntentStatus
ATDr. Aris ThorneChief AI Officer (CAIO)
Decision Makera.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-aiApplied AI & Autonomous Agent Platforms100 Pine StSte 2400San FranciscoCA94111United StatesBland AI Enterprise AI Infrastructure & Cloud ClusterHigh✓ Verified 2026
NSNaveen SwaminathanVP of AI Engineering & LLMOps Architecture
Decision Makern.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-aiBiotechnology & Computational Drug Discovery500 Technology Square—CambridgeMA02139United StatesBland AI LLM Observability, Evaluation & Prompt TracingHigh✓ Verified 2026
HLHannah LindqvistHead of Semantic Search & Vector Retrieval
Decision Makerh.lin****@stockh*****.se+46 (8) 55***-****+46 (8) 55***-****+46 (8) 55***-****linkedin.com/in/h***ah-li*********Stockholm Neural Search Solutions ABlinkedin.com/company/stockholm-neural-searchE-Commerce Semantic Search & DiscoverySveavägen 44—StockholmStockholm County111 34SwedenBland AI Vector Database & Approximate Nearest Neighbor IndexingHigh✓ Verified 2026
CVCameron VanceLead Machine Learning Infrastructure Architect
Influencerc.va****@apexfin******.com+1 (212) 55***-****+1 (212) 55***-****+1 (212) 55***-****linkedin.com/in/c***ron-v*********Apex FinTech Neural Analytics LLClinkedin.com/company/apex-fintech-neuralFinancial Market Prediction & Fraud Telemetry1301 Ave of the Americas—New YorkNY10019United StatesBland AI High-Throughput Inference & Speculative DecodingHigh✓ Verified 2026
ERDr. Evelyn RousseauDirector of Applied NLP & RAG Systems
Influencere.rou****@parishe******.fr+33 (1) 45***-****+33 (1) 45***-****+33 (1) 45***-****linkedin.com/in/e***yn-ro*********Paris Clinical Intelligence Labs SASlinkedin.com/company/paris-clinical-aiClinical Decision Support & Biomedical NLP15 Boulevard Saint-Germain—ParisÎle-de-France75005FranceBland AI Enterprise RAG Pipeline & Semantic Knowledge SearchMedium✓ Verified 2026
DCDarren CrossHead of Developer Experience & AI Tooling
Decision Makerd.cr****@acceler*******.com+1 (206) 55***-****+1 (206) 55***-****+1 (206) 55***-****linkedin.com/in/d***en-cr********Accelerate Cloud Engineering Corplinkedin.com/company/accelerate-cloud-engEnterprise Cloud Systems & Developer Platforms1201 3rd AveSte 2200SeattleWA98101United StatesBland AI AI Code Generation & Developer Productivity PlatformHigh✓ Verified 2026
AMAlistair MontgomeryLead AI Safety & Guardrails Engineer
Practitionera.mon****@edinburghf*********.uk+44 (131) 55***-****+44 (131) 55***-****+44 (131) 55***-****linkedin.com/in/a***air-mo*********Edinburgh Quantitative Systems Ltdlinkedin.com/company/edinburgh-quant-sysAutomated Financial Advisory & Wealth Management1 Lochside Ave—EdinburghMidlothianEH12 9DJUnited KingdomBland AI Agentic Workflow Execution & Guardrail EnforcementMedium✓ Verified 2026
KMKenichi MurataSenior Distributed AI Platform Engineer
Practitionerk.mu****@kyotone*******.jp+81 (75) 55***-****+81 (75) 55***-****+81 (75) 55***-****linkedin.com/in/k***chi-m*********Kyoto Neural Robotics Systems KKlinkedin.com/company/kyoto-neural-roboticsRobotics & Autonomous Machine VisionKyoto Research ParkBldg 4KyotoKyoto Prefecture600-8815JapanBland AI Model Training & Distributed GPU OptimizationHigh✓ 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 Bland AI

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 Bland AI 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 Bland AI skills, which shows ongoing budget and headcount.

Now hiringBland AI Administrator
Now hiringBland AI Architect
Now hiringBland AI 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, Bland AI.

Conquesting playbook

Pitch integrations, add-ons and complementary tools to companies already running Bland AI.

Ecosystem playbook

Build account lists around Bland AI deployment scale and engage the full committee across departments.

ABM playbook
Conquesting audienceSample
LangSmithWeights & BiasesArize AI
→
Bland AI

Know the stack around every account

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

NVIDIA CUDAAWS SageMakerHugging FacePineconeLangChainDatabricksWeights & BiasesOpenAI API
Open the coexistence matrix

What Bland AI customers look like

Anonymised profiles of companies in our Bland AI dataset of 3,400+ accounts. Named accounts are shared in your free sample, never on a public page.

Bland AI account profiles · anonymised
Company sizeIndustryCountryEmployeesRevenue
EnterpriseLegalTech & Intelligence PlatformsUnited States5,000+$1B+
Upper mid-marketGenerative AI Startups & LabsCanada1,000–4,999$250M–$1B
SMBEnterprise Applied AI DivisionsGermany50–199$10M–$50M
EnterpriseFinTech AI & Fraud ModelingUnited States10,000+$5B+
Mid-marketHealthTech Clinical AIAustralia500–999$100M–$250M
Mid-marketLegalTech & Intelligence PlatformsUnited States200–999$50M–$250M
EnterpriseGenerative AI Startups & LabsUnited States5,000+$1B+
Upper mid-marketEnterprise Applied AI DivisionsUnited Kingdom1,000–4,999$250M–$1B
Markets we cover
United StatesIndiaUnited KingdomCanadaGermanyAustraliaSingaporeFranceNew ZealandNetherlands

Plus 170 more countries. Ask for a country-by-country count of Bland AI 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.

+Bland AI Enterprise LLM Observability+Bland AI Prompt Playground & Versioning Engine+Bland AI Automated RAG Evaluation & Benchmarking+Bland AI Production Guardrails & Cost Tracking
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 Bland AI 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 Bland AI

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 Bland AI
✓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

Bland AI list questions, answered

What is included in the Data InfoMetrix Bland AI customers list?

The Data InfoMetrix Bland AI customer list delivers verified direct contact details for decision-makers (C-Suite, VPs, Directors, and System Owners) at companies actively operating Bland AI. Every dataset includes 60+ data fields such as direct email, phone dials, company size, revenue, and deployment details.

How does Data InfoMetrix detect and verify active Bland AI software usage?

Data InfoMetrix uses a multi-layered verification approach: live web technology footprint scanning, job requisition requirement signals, partner ecosystem directories, and 5-stage SMTP handshake validation combined with manual human audits. Data InfoMetrix does not sell static or pre-packaged database dumps.

How does Data InfoMetrix guarantee email deliverability for Bland AI contacts?

Data InfoMetrix provides a 99% email deliverability guarantee on all Bland AI 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.

Can Data InfoMetrix filter Bland AI accounts by specific edition, region, or company size?

Yes. Data InfoMetrix builds custom audiences according to your exact Ideal Customer Profile (ICP). You can segment Bland AI users by product edition, department headcount, annual revenue, industry vertical, and 180+ geographic regions.

Why choose Data InfoMetrix over generic database brokers for Bland AI intelligence?

Generic database brokers sell access to frozen, static catalogs that decay at over 2% per month. Data InfoMetrix builds every Bland AI contact list fresh-to-spec upon request, ensuring your outreach reaches active platform owners with verified direct contact channels.

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

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

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

Get your Bland AI users list

Tell us your titles, regions and company size. We'll send counts, a quote and a free 10-record sample.

Get counts & quote
✓ Reply within 1 business day✓ Delivered in 24–48 hours✓ 1:1 hard bounce replacement for 30 days