Companies using Cortex

Cortex is a cloud-native observability platform that enables monitoring, troubleshooting, and optimization of complex microservices architectures, offering automated service discovery, distributed tracing, metrics collection, and intelligent alerting capabilities.
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Companies using Cortex

Technology
is any of
Cortex Technology Logo/Icon
Cortex
company
COUNTRY
Tech confidence score
REVENUE
# Tech JOB POSTINGS
Afterpay
Australia Country Flag Icon
Australia
$696.3M
2,808
Amazon
United States Country Flag Icon
United States
-
4,167
Capgemini
France Country Flag Icon
France
$23.6B
77,867
Dice
United States Country Flag Icon
United States
-
203,756
Lensa
United States Country Flag Icon
United States
-
274,194
Morgan McKinley
Ireland Country Flag Icon
Ireland
$139M
225
Piper Companies
United States Country Flag Icon
United States
-
5,939
Pyramid Consulting, Inc
United States Country Flag Icon
United States
-
193
Randstad Digital Americas
United States Country Flag Icon
United States
-
120
Randstad Switzerland
Switzerland Country Flag Icon
Switzerland
-
15
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8,149
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8,149
companies actively hiring with
Cortex
technology, including firmographic data,
19,283
developer profiles working on that technology, and direct contacts to engineering leaders within your target accounts.
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Cortex Competitor Technologies

No. of companies use the technology

Developers using Cortex

NAME
contact
DESIGNATION
COUNTRY
Company
Total tENURE
Kaelan Mikowicz
Software Engineer II, Production Engineering
United Kingdom Country Flag Icon
United Kingdom
Infosys Company Logo
Infosys
6 years
Kuba Tyszko
Principal Engineer
United Kingdom Country Flag Icon
United Kingdom
Infosys Company Logo
Infosys
20 years
Trey Hakanson
Senior Software Engineer
United States Country Flag Icon
United States
Databricks Company Logo
Databricks
8 years
NAME
contact
DESIGNATION
COUNTRY
Company
Total tENURE
Guillaume NICOLAS
Head of Development
France Country Flag Icon
France
Amazon Company Logo
Amazon
3 years
Barthélemy Vessemont
Chief Software Engineer
France Country Flag Icon
France
On Deck Company Logo
On Deck
9 years
Evan Summers
VP Cybersecurity
United States Country Flag Icon
United States
Bayer Company Logo
Bayer
5 years

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Unlock the full contact information of
19,283
developers actively working with
Cortex
technology, including economic buyers data for each account, complete with verified contact information, role tenure, company context, and adoption signals.
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What would you like to do with company-level technographics data that are using Cortex?

Build my TAM account list or assign accounts to my sales team

Transform your desired technology user data into actionable sales territories by combining firmographic ICP criteria with real-time technology adoption signals. Traditional account assignment based solely on company size and industry leaves money on the table—successful DevTool sales teams prioritize accounts showing active technology expansion signals.

Strategic account prioritization framework

Building an effective Total Addressable Market (TAM) requires more than basic firmographic filters. Companies using your desired technology represent varying levels of buying intent depending on their implementation stage, team growth, and technology stack evolution. Learn our complete framework for building DevTool ICP account lists to establish the foundation for strategic account segmentation.

Confluent ICP scoring example illustrating core, broader, and relevant universe tiers based on Kafka adoption and data streaming scale

Standard ICP criteria—geography, industry, company size, revenue—only provide baseline qualification. High-performing sales teams layer technology hiring signals on top of firmographic data to identify accounts actively expanding their technical capabilities. Companies hiring  for your desired technology engineers or architects signal active investment in the technology stack, indicating higher purchase intent and budget availability.

In-market account identification and assignment

Priority account assignment should factor in recent technology hiring patterns as a proxy for market timing. Companies posting jobs for Redis engineers, Kubernetes specialists, or React developers demonstrate active technology expansion—making them significantly more likely to evaluate complementary tools within 90 days.

Our LinkedIn outreach playbook details the specific process for identifying and assigning these in-market accounts to sales teams. This approach increases meeting acceptance rates by 40% compared to generic outbound because prospects are already in active buying mode.

Territory assignment best practices

Tier 1 accounts: Companies using your desired technology with recent hiring activity for related roles. These accounts get immediate sales attention with personalized outreach referencing their specific technology initiatives and hiring needs.

Tier 2 accounts: Established desired technology users without recent hiring signals but strong firmographic fit. Assign these accounts for longer-term nurture campaigns and quarterly check-ins to monitor technology expansion signals.

Tier 3 accounts: Companies using your desired technology with weaker ICP fit or unclear expansion signals. Route these accounts to inside sales or marketing-qualified lead campaigns until stronger buying signals emerge.

Refresh account assignments monthly based on new hiring signals and technology adoption data. Companies can move between tiers quickly as their technology needs evolve, and sales territories should reflect these dynamic market conditions rather than static demographic assignments.

The combination of your desired technology usage data and hiring intelligence creates a predictive framework for sales success, ensuring your team focuses energy on accounts most likely to convert within the current quarter.

Learn more

Run marketing Campaigns

Leverage your desired technology user data to create targeted campaigns across three distinct audience levels: companies, developers (practitioners), and economic buyers. Each audience type requires different messaging, channels, and campaign strategies to maximize conversion rates.

Multi-level audience targeting

Companies: Target organizations using your technology of choice for account-based marketing approaches. Focus on company-level signals, firmographics, and technology stack intelligence to build high-intent prospect lists.

Developers (contacts): Reach practitioners who directly implement and use chosen technology. These technical decision-makers influence tool adoption and can become internal champions for your solution.

Economic Buyers (contacts): Target executives and budget holders at companies using your desired technology. While they may not use the technology directly, they control purchasing decisions and strategic technology investments.

Campaign strategies by audience type

ABM Google/LinkedIn Ads to your TOFU audience: Run account-based display campaigns targeting companies using containerization technologies like Docker or Kubernetes. Create awareness-stage content about DevOps optimization, infrastructure costs, or developer productivity to capture early-stage interest from decision-makers.

Invite developers to topical webinars: Host technical webinars for Redis users about database optimization, caching strategies, or microservices architecture. Developers using Redis are likely interested in performance engineering topics that showcase your platform's capabilities in a educational, non-sales context. Leading DevTools like Galileo and Camunda use this strategy effectively—see how they leverage expert-led sessions to grow their TOFU audience by educating and nurturing developer communities around emerging technologies.

LinkedIn outbound campaigns to developers or economic buyers: Execute targeted LinkedIn outreach to practitioners and buyers at companies using complementary technologies. See how Kubegrade leveraged Kubernetes user data to run successful LinkedIn and email campaigns, or follow our proven LinkedIn outreach playbook that helped Unstructured book meetings with economic buyers.

Competitor email campaigns based on competitor technology: Target companies using competing solutions like MongoDB (if you're in the database space) or Elasticsearch (for search solutions). Craft messaging around migration benefits, performance comparisons, or feature gaps that position your solution as the superior alternative.

Complimentary technology campaigns: Run campaigns to companies using GraphQL (if you provide API tools) or React (for frontend development solutions). Focus messaging on how your product enhances their existing technology investments rather than replacing them—creating additive value propositions.

Technical content nurture campaigns to developers: Send regular technical newsletters to PostgreSQL users featuring database optimization tips, query performance guides, or architectural best practices. This builds relationship equity with practitioners who influence purchasing decisions while demonstrating your platform's technical depth.

Campaign execution framework

Each campaign type works best when aligned with the prospect's technology maturity and buying stage. Companies actively expanding their technology usage often have budget allocated for complementary solutions, making them higher-intent prospects than those just beginning adoption.

Combine multiple campaign types for maximum impact: start with educational content to developers, then retarget engaged prospects with ABM campaigns to economic buyers at the same companies. This multi-touch approach increases conversion rates while building relationships across the entire buying committee.

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How to target companies using Cortex

How to build your target account list?

Start by building your Ideal Customer Profile (ICP) universe using technology signals as a foundation. Companies using

Cortex

often share similar technical maturity and infrastructure needs, making them prime candidates for developer-focused solutions. Learn our complete framework for building DevTool ICP account lists to maximize your targeting precision.

Customize this data by filtering for geography, industry, company size, revenue, technology usage, job positions and more. Our platform provides technology intelligence at both company and individual levels—categorized into developers/practitioners and economic buyers within those organizations. This dual-layer approach enables precise targeting whether you're running ABM campaigns at the account level or personalized outreach to specific contacts.

Download your refined lists in Excel or CSV format, sync directly to your CRM (HubSpot, Salesforce), or use our APIs to send data to your warehouse. For individual-level targeting, explore our

developers using
Cortex

database for direct practitioner and buyer intelligence.

How to get alerted when new companies adopt Cortex technology?

Set up automated alerts to capture companies as they adopt

Cortex

in real-time.

This gives your sales team first-mover advantage when prospects are actively evaluating and implementing new solutions—the optimal time for outreach.

Configure alerts based on your specific ICP criteria: get notified when companies in your target geography, industry, or size range start using your target technology. Alerts are delivered directly to your inbox with complete company and contact intelligence, enabling immediate, contextual outreach while the technology adoption signal is fresh.

How to sync this data with my CRM or sales stack?

Export technology user data seamlessly into your existing sales and marketing infrastructure. Direct CRM integrations with HubSpot and Salesforce automatically sync company and contact records with technology intelligence, enriching your existing database.

Use our API endpoints to send

Cortex

user data directly to your data warehouse, enabling advanced segmentation and analytics across your entire revenue stack. This approach works particularly well for companies running sophisticated ABM programs or complex lead scoring models.

The targeting strategy differs significantly between contact-level outreach and account-based campaigns. For individual targeting, focus on practitioners who directly use

Cortex

with personalized technical messaging. For ABM approaches, target economic buyers at companies using

Cortex

with broader business value propositions and multi-threading strategies.

Frequently Asked Questions (FAQ)

What is Cortex?

Cortex is a cutting-edge technology that falls under the category of Cloud-Native Observability Platforms. It provides a horizontally scalable, highly available, multi-tenant solution for storing and querying time-series data, primarily designed as a long-term storage solution for Prometheus metrics. Cortex addresses the challenges of monitoring distributed systems at scale by offering a centralized platform that can ingest metrics from thousands of Prometheus servers while maintaining query performance.

Technically, Cortex implements the Prometheus API and extends it with additional capabilities. Its architecture consists of multiple microservices that can be deployed independently, including an ingester for receiving and processing metrics, a distributor for handling incoming writes, a querier for managing read requests, and a ruler for evaluating alerting rules. Cortex stores data in various backends including Amazon DynamoDB, Google Bigtable, Cassandra, or object storage solutions like S3. What makes Cortex particularly valuable is its horizontal scalability - allowing organizations to scale their monitoring infrastructure alongside their applications without sacrificing performance or reliability.

Cortex has gained significant adoption within the cloud-native ecosystem, particularly among organizations running large Kubernetes deployments. It's part of the Cloud Native Computing Foundation (CNCF) as an incubating project, which has helped drive its adoption across industries. As observability becomes increasingly critical for modern applications, Cortex's ability to provide long-term storage and querying capabilities for metrics at scale positions it as a key component in the monitoring stack of forward-thinking organizations.

What is the source of this data?

We aggregate developer & company technographics intelligence from multiple proprietary and partner sources. Our platform monitors job postings across millions of companies—tracking listings on career sites, job boards, and recruitment platforms to identify technology adoption patterns and internal tool usage. This hiring signal data reveals what technologies organizations are actively investing in.

Beyond job data, Reo.Dev maintains a proprietary database of 30+ million developers and tracks activity across public GitHub repositories to capture real-time technology usage signals.

We supplement this with GDPR-compliant datasets from trusted data broker partners and visitor intelligence platforms, creating a comprehensive view of both company-level tech stacks and individual developer behaviors.

This multi-source approach ensures you're working with the most accurate, up-to-date company technographics & developer intelligence available.

How often is the data updated?

Our platform refreshes data daily, giving you access to the latest developer and technology intelligence. This continuous update cycle ensures your go-to-market teams are working with current information that reflects real-time market movements, emerging technology adoption patterns, and fresh hiring signals from across the industry.

What companies use Cortex?

Some of the companies that use Cortex include Afterpay, Amazon, Capgemini, Dice, Lensa, Morgan McKinley, Piper Companies, Pyramid Consulting, Inc, Randstad Digital Americas, Randstad Switzerland, and many more. You can find a complete list of 8,149 companies that use Cortex on Reo.Dev.

Who uses Cortex? Which industries use Cortex?

Cortex is used by a diverse range of organizations across various industries, including "Cloud Infrastructure", "Financial Services", "E-commerce", "Telecommunications", "SaaS Providers", and "Media and Entertainment". For a comprehensive list of all industries utilizing Cortex, please visit Reo.Dev.

How many customers does

Cortex
have?
As of now, we have data on
8,149
companies that use
Cortex
.

Where is Cortex adoption highest worldwide? In which countries Cortex is used the most?

According to usage insights, Cortex sees the strongest adoption across several major tech hubs. United States leads with 2,307 companies using it, followed by United Kingdom (531) and India (381).Other regions with significant Cortex usage include France (351), Germany (299), Canada (252), and Netherlands (76).Overall, Cortex enjoys widespread implementation globally, powering applications across diverse industries and regions.

How to find companies that use

Cortex
?

Visit reo.dev and use Reo.Dev's audience builder to search for companies using your desired technology—our platform analyzes job postings, GitHub repositories, and proprietary developer data to identify the  technology stack for any given organization. Book a demo with us today to get started.

How to get an updated list of companies that use

Cortex
?

Reo.Dev provides real-time access to companies using your desired technology of choice and thousands of other developer technologies. Our platform continuously tracks technology adoption signals from job postings, GitHub activity, and proprietary developer data to give you the most current view of which organizations are actively using the technologies in their tech stack. Simply search for your desired technology within our audience builder to generate a targeted list of companies—complete with firmographic data, hiring signals, and tech stack intelligence. Book a demo with us today to get access to the latest data.