CAST AI Cloud Optimization users list

Email list of companies using CAST AI Cloud Optimization

Q: How many companies use CAST AI Cloud Optimization?

Data InfoMetrix tracks 3,200 companies using CAST AI Cloud Optimization, with 15,400 verified contacts at those accounts as of October 2026. The largest groups are SaaS & Technology, Fintech and E-Commerce. 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 CAST AI Cloud Optimization inside a company?

CAST AI Cloud Optimization is usually owned by Kubernetes Cost Optimisation. Decision-makers include CTO, VP of Engineering and VP of Infrastructure; FinOps Lead and Platform Engineering Lead shape the choice, and DevOps Engineers and SREs use it day to day. Our CAST AI Cloud Optimization list can include any of these roles.

Q: Which CAST AI Cloud Optimization products or editions can I target?

You can target accounts by the CAST AI Cloud Optimization products they run, including CAST AI Autoscaler, CAST AI Workload Rightsizing, CAST AI Spot Automation, CAST AI Kubernetes Security and CAST AI AI Enabler (LLM Cost). Tell us which edition or module matters and we filter the list to those accounts.

Q: What other software do CAST AI Cloud Optimization customers use?

CAST AI Cloud Optimization customers commonly also run AWS, Kubernetes, Terraform, Datadog and Prometheus. CAST AI Cloud Optimization is often connected to AWS EKS, Google GKE and Azure AKS, so users of those tools overlap heavily. We can filter any list by this kind of stack overlap.

Q: What are the main alternatives to CAST AI Cloud Optimization?

The main alternatives to CAST AI Cloud Optimization are Kubecost, Spot by NetApp and Karpenter. We also keep verified user lists for Kubecost and Karpenter, which is useful for competitive displacement campaigns.

Q: When are CAST AI Cloud Optimization customers most likely to buy?

Buying triggers we track for CAST AI Cloud Optimization accounts include cloud cost reduction mandate, kubernetes scale-up, FinOps team formation and cloud commit renewal. A common pain point is kubernetes overprovisioning: clusters waste capacity.

Q: Can Data InfoMetrix deliver a free sample CAST AI Cloud Optimization contact list before ordering?

Yes. Data InfoMetrix delivers a complimentary 10-record sample tailored to your target CAST AI Cloud Optimization 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 CAST AI Cloud Optimization contacts?

Data InfoMetrix provides a 99% email deliverability guarantee on all CAST AI Cloud Optimization 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.

Reach platform, FinOps and engineering leaders using CAST AI to automate Kubernetes autoscaling and cut cloud costs.

3,200+Companies

15,400+Contacts

Updated Oct 7, 2026GDPR · CCPA99% accuracy

See sample data

Free CAST AI Cloud Optimization count + 10 sample records

3,200+ companies · 15,400+ 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 CAST AI Cloud Optimization?

Data InfoMetrix tracks 3,200+ companies running CAST AI Cloud Optimization as of October 2026, with 15,400+ verified contacts at those accounts. The largest groups are SaaS & Technology, Fintech and E-Commerce. Buying decisions usually sit with the CTO, VP of Engineering and VP of Infrastructure. Counts are estimates built from technology footprint scans, job-post signals and partner directories, checked by our research team. How we count

Tracked accounts3,200+

Organizations detected running CAST AI Cloud Optimization.

Verified contacts15,400+

Direct emails and phone dials for decision-makers.

Primary personasHead of Platform Engineering, FinOps Lead, VP of Infrastructure

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	DevOps & Cloud Infrastructure
Tracked organizations	3,200+ verified accounts worldwide
Decision-maker contacts	15,400+ records with emails, mobile and direct dials
Key roles	Head of Platform Engineering, FinOps Lead, VP of Infrastructure, 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 CAST AI Cloud Optimization 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

3,200+Target accounts

15,400+Direct contacts

Decision-makers35%

Influencers45%

End users20%

Estimates from our current CAST AI Cloud Optimization dataset. Exact counts come with your quote.

Reach the whole buying committee

A CAST AI Cloud Optimization account is not one contact. We map the people who evaluate, buy, run and use it across Kubernetes Cost Optimisation.

Decision-makersC-suite & sponsors

CTOVP of EngineeringVP of InfrastructureHead of Platform Engineering

Influencers & adminsEvaluate & configure

FinOps LeadPlatform Engineering LeadSRE ManagerCloud Architect

End usersRun it every day

DevOps EngineersSREsSoftware EngineersPlatform 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, CAST AI Cloud Optimization 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	CAST AI Cloud Optimization footprint	Intent	Status
SRSophia ReyesVP of Platform Engineering	Decision Maker	s.r***@apexc**.io	+1 (415) 55*-**	+1 (415) 55*-**	+1 (415) 55*-**	linkedin.com/in/s*ia-r*******	Apex Cloud Systems Inc.	linkedin.com/company/apex-cloud-sys	Enterprise Software & Cloud SaaS	100 Montgomery St	Ste 1800	San Francisco	CA	94104	United States	CAST AI Cloud Optimization Enterprise Cloud & Multi-Region Workloads	High	✓ Verified 2026
MWMarcus WebbLead Site Reliability Engineer (SRE)	Influencer	m.we**@kensington*******.uk	+44 (20) 79*-**	+44 (20) 79*-**	+44 (20) 79*-**	linkedin.com/in/m*us-we******	Kensington Global Capital Ltd	linkedin.com/company/kensington-cap	Financial Services & Modern FinTech	25 Bank St Canary Wharf	—	London	Greater London	E14 5JP	United Kingdom	CAST AI Cloud Optimization Production Cluster & SRE Monitoring	High	✓ Verified 2026
LFLena FischerPrincipal Cloud Infrastructure Architect	Influencer	l.fi**@stack**.de	+49 (30) 55*-**	+49 (30) 55*-**	+49 (30) 55*-**	linkedin.com/in/l*a-fi******	StackLabs Infrastructure GmbH	linkedin.com/company/stacklabs-de	Cloud Hosting & Distributed Systems	Friedrichstraße 176-179	—	Berlin	Berlin	10117	Germany	CAST AI Cloud Optimization Core Platform & Infrastructure as Code	High	✓ Verified 2026
JOJames O'ConnorDirector of Cloud Operations & DevOps	Decision Maker	j.oc**@veloce****.com	+1 (312) 55*-**	+1 (312) 55*-**	+1 (312) 55*-**	linkedin.com/in/j*s-oc******	Veloce Global Logistics Corp	linkedin.com/company/veloce-logistics	Enterprise Supply Chain & Telematics IoT	233 S Wacker Dr	Ste 4200	Chicago	IL	60606	United States	CAST AI Cloud Optimization Continuous Deployment & Telemetry Pipelines	High	✓ Verified 2026
ALAstrid LindholmHead of Developer Experience & Tooling	Influencer	a.li**@nordi**.se	+46 (8) 55*-**	+46 (8) 55*-**	+46 (8) 55*-**	linkedin.com/in/a*id-li******	Nordic Digital Commerce AB	linkedin.com/company/nordicpay-ab	E-Commerce & High-Volume Retail Platforms	Hamngatan 15	—	Stockholm	Stockholm County	111 47	Sweden	CAST AI Cloud Optimization Developer Tooling & API Network	Medium	✓ Verified 2026
DVDavid VanceChief Technology Officer (CTO)	Decision Maker	d.va**@beacond****.com	+1 (703) 55*-**	+1 (703) 55*-**	+1 (703) 55*-**	linkedin.com/in/d*d-va******	Beacon Mission Systems Inc.	linkedin.com/company/beacon-tech	Defense, Aerospace & Industrial Automation	1850 Towers Crescent Plaza	—	Tysons	VA	22182	United States	CAST AI Cloud Optimization GovCloud / FedRAMP Authorized Cluster	High	✓ Verified 2026
RGRachel Green-CohenDirector of Cloud Infrastructure & DevSecOps	Influencer	r.co**@veritas****.org	+1 (617) 55*-**	+1 (617) 55*-**	+1 (617) 55*-**	linkedin.com/in/r*el-co******	Veritas Health Technologies Inc.	linkedin.com/company/veritas-health-sys	Digital Health & Clinical Cloud Systems	75 Francis St	—	Boston	MA	02115	United States	CAST AI Cloud Optimization Healthcare Dedicated VPC & HIPAA Compliance	Medium	✓ Verified 2026
YTYuri TanakaSenior SRE & Cloud Systems Engineer	Practitioner	y.ta**@biosynth*****.jp	+81 (3) 55*-**	+81 (3) 55*-**	+81 (3) 55*-**	linkedin.com/in/yi-ta******	BioSynthetix Genomic Systems KK	linkedin.com/company/biosynthetix-kk	Life Sciences & High-Performance Cloud Computing	Roppongi Hills Mori Tower	30F	Tokyo	Tokyo	106-6108	Japan	CAST AI Cloud Optimization High-Performance Computing (HPC) Node Cluster	Medium	✓ 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 CAST AI Cloud Optimization

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 CAST AI Cloud Optimization 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 CAST AI Cloud Optimization skills, which shows ongoing budget and headcount.

Now hiringCAST AI Cloud Optimization Administrator

Now hiringCAST AI Cloud Optimization Architect

Now hiringCAST AI Cloud Optimization 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, CAST AI Cloud Optimization.

Conquesting playbook

Pitch integrations, add-ons and complementary tools to companies already running CAST AI Cloud Optimization.

Ecosystem playbook

Build account lists around CAST AI Cloud Optimization deployment scale and engage the full committee across departments.

ABM playbook

Conquesting audienceSample

Kubecost

Spot by NetApp

Karpenter

→

CAST AI Cloud Optimization

Know the stack around every account

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

AWS

Open the coexistence matrix

What CAST AI Cloud Optimization customers look like

Anonymised profiles of companies in our CAST AI Cloud Optimization dataset of 3,200+ accounts. Named accounts are shared in your free sample, never on a public page.

CAST AI Cloud Optimization account profiles · anonymised

Company size	Industry	Country	Employees	Revenue
SMB	Fintech	United States	50–199	$10M–$50M
Enterprise	E-Commerce	United Kingdom	10,000+	$5B+
Mid-market	Media & Gaming	United States	500–999	$100M–$250M
Mid-market	SaaS & Technology	Canada	200–999	$50M–$250M
Enterprise	Fintech	Germany	5,000+	$1B+
Upper mid-market	E-Commerce	United States	1,000–4,999	$250M–$1B
SMB	Media & Gaming	Australia	50–199	$10M–$50M
Enterprise	SaaS & Technology	United States	10,000+	$5B+

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 CAST AI Cloud Optimization 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.

+CAST AI Autoscaler+CAST AI Workload Rightsizing+CAST AI Spot Automation+CAST AI Kubernetes Security+CAST AI AI Enabler (LLM Cost)

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 CAST AI Cloud Optimization teams are struggling with

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

Friction 1

Kubernetes overprovisioning

ImpactClusters waste capacity.

OpportunityOffer rightsizing services.

Friction 2

Cloud bill pressure

ImpactCFOs demand savings.

OpportunityPitch FinOps programs.

Friction 3

Spot instance risk

ImpactTeams fear spot interruptions.

OpportunityOffer spot automation.

Intent triggers we track

✓Cloud cost reduction mandate

✓Kubernetes scale-up

✓FinOps team formation

✓Cloud commit renewal

“The accuracy of their technographic data was outstanding. Every AWS contact we reached out to was actively running live production clusters.”

VP of Field Engineering, a cloud infrastructure companyName withheld at the client's request

Read the $2.2M ARR case study

CAST AI Cloud Optimization list questions, answered

How many companies use CAST AI Cloud Optimization?

Data InfoMetrix tracks 3,200 companies using CAST AI Cloud Optimization, with 15,400 verified contacts at those accounts as of October 2026. The largest groups are SaaS & Technology, Fintech and E-Commerce. Counts are estimates from our database and market research, so ask us for a live count for your exact criteria.

Who buys and manages CAST AI Cloud Optimization inside a company?

CAST AI Cloud Optimization is usually owned by Kubernetes Cost Optimisation. Decision-makers include CTO, VP of Engineering and VP of Infrastructure; FinOps Lead and Platform Engineering Lead shape the choice, and DevOps Engineers and SREs use it day to day. Our CAST AI Cloud Optimization list can include any of these roles.

Which CAST AI Cloud Optimization products or editions can I target?

You can target accounts by the CAST AI Cloud Optimization products they run, including CAST AI Autoscaler, CAST AI Workload Rightsizing, CAST AI Spot Automation, CAST AI Kubernetes Security and CAST AI AI Enabler (LLM Cost). Tell us which edition or module matters and we filter the list to those accounts.

What other software do CAST AI Cloud Optimization customers use?

CAST AI Cloud Optimization customers commonly also run AWS, Kubernetes, Terraform, Datadog and Prometheus. CAST AI Cloud Optimization is often connected to AWS EKS, Google GKE and Azure AKS, so users of those tools overlap heavily. We can filter any list by this kind of stack overlap.

What are the main alternatives to CAST AI Cloud Optimization?

The main alternatives to CAST AI Cloud Optimization are Kubecost, Spot by NetApp and Karpenter. We also keep verified user lists for Kubecost and Karpenter, which is useful for competitive displacement campaigns.

When are CAST AI Cloud Optimization customers most likely to buy?

Buying triggers we track for CAST AI Cloud Optimization accounts include cloud cost reduction mandate, kubernetes scale-up, FinOps team formation and cloud commit renewal. A common pain point is kubernetes overprovisioning: clusters waste capacity.

Can Data InfoMetrix deliver a free sample CAST AI Cloud Optimization contact list before ordering?

Yes. Data InfoMetrix delivers a complimentary 10-record sample tailored to your target CAST AI Cloud Optimization 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 CAST AI Cloud Optimization contacts?

Data InfoMetrix provides a 99% email deliverability guarantee on all CAST AI Cloud Optimization 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