Companies using Cognigy

Cognigy is an enterprise conversational AI platform that enables businesses to build, deploy, and manage intelligent virtual assistants and chatbots across multiple channels, featuring natural language understanding, workflow automation, and seamless integration capabilities.
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Companies using Cognigy

Technology
is any of
Cognigy Technology Logo/Icon
Cognigy
company
COUNTRY
Tech confidence score
REVENUE
# Tech JOB POSTINGS
8x8
United States Country Flag Icon
United States
-
120
Caliber Collision
United States Country Flag Icon
United States
$4B
11
Capitole
Spain Country Flag Icon
Spain
-
34
CAS Training
Spain Country Flag Icon
Spain
-
56
CGI
Canada Country Flag Icon
Canada
$9.5B
555
Datavant
United States Country Flag Icon
United States
-
10
Deutsche Telekom
Germany Country Flag Icon
Germany
$123.4B
145
Essent
Netherlands Country Flag Icon
Netherlands
-
8
LanceSoft, Inc.
United States Country Flag Icon
United States
$300M
70
Lippert
United States Country Flag Icon
United States
-
1
Showing 10 of
229
results
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23

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Unlock the full database of
229
companies actively hiring with
Cognigy
technology, including firmographic data,
9,037
developer profiles working on that technology, and direct contacts to engineering leaders within your target accounts.
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Cognigy Complimentary Technologies

No. of companies use the technology

Developers using Cognigy

NAME
contact
DESIGNATION
COUNTRY
Company
Total tENURE
Ryan Smith
Senior Software Engineer
United States Country Flag Icon
United States
KPMG US Company Logo
KPMG US
12 years
Alekhya Katumalla
Senior DevOps Engineer
United Kingdom Country Flag Icon
United Kingdom
Google Company Logo
Google
6 years
Shree
JAVA AWS Developer
France Country Flag Icon
France
CGI Company Logo
CGI
3 years
NAME
contact
DESIGNATION
COUNTRY
Company
Total tENURE
Jason Haugland
Solutions Architect Manager
United States Country Flag Icon
United States
IBM Company Logo
IBM
4 years
Brian M
Staff Infrastructure Engineer
United States Country Flag Icon
United States
General Dynamics Land Systems US Company Logo
General Dynamics Land Systems US
18 years
Nic Flores
Head of Engineering
United States Country Flag Icon
United States
Genomics England Company Logo
Genomics England
15 years

Want access to the complete developers list?

Unlock the full contact information of
9,037
developers actively working with
Cognigy
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 Cognigy?

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 Cognigy

How to build your target account list?

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

Cognigy

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
Cognigy

database for direct practitioner and buyer intelligence.

How to get alerted when new companies adopt Cognigy technology?

Set up automated alerts to capture companies as they adopt

Cognigy

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

Cognigy

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

Cognigy

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

Cognigy

with broader business value propositions and multi-threading strategies.

Frequently Asked Questions (FAQ)

What is Cognigy?

Cognigy is a cutting-edge technology that falls under the category of Conversational AI Platforms. It provides organizations with comprehensive tools to create, deploy, and manage sophisticated virtual assistants and chatbots that can understand and respond to human language naturally. Founded in 2016 by Philipp Heltewig and Sascha Poggemann, Cognigy has established itself as a leader in the enterprise conversational AI space, offering solutions that bridge the gap between humans and digital systems through natural conversations.

At its core, Cognigy utilizes advanced natural language understanding (NLU) capabilities to interpret user inputs across multiple languages and contexts. The platform's architecture is built around Cognigy.AI, its flagship product that features a visual flow editor for designing conversation flows without extensive coding. This low-code approach is complemented by powerful integration capabilities that connect to enterprise systems like CRM, ERP, and customer service platforms. Cognigy differentiates itself through its omnichannel deployment strategy, allowing virtual assistants to function consistently across websites, messaging apps, voice assistants, and telephony systems. The platform also offers robust analytics and continuous learning mechanisms that help virtual assistants improve over time.

In terms of market adoption, Cognigy has gained significant traction among enterprises seeking to automate customer service, streamline internal processes, and enhance user experiences. The platform is particularly valued for its enterprise-grade security features, scalability, and compliance with international regulations like GDPR. As conversational AI continues to evolve, Cognigy is positioned at the forefront of innovations in voice-enabled assistants, emotion detection, and multilingual support, making it a strategic technology investment for organizations undergoing digital transformation.

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 Cognigy?

Some of the companies that use Cognigy include 8x8, Caliber Collision, Capitole, CAS Training, CGI, Datavant, Deutsche Telekom, Essent, LanceSoft Inc, Lippert, and many more. You can find a complete list of 229 companies that use Cognigy on Reo.Dev.

Who uses Cognigy? Which industries use Cognigy?

Cognigy is used by a diverse range of organizations across various industries, including "Financial Services", "Telecommunications", "Retail and E-commerce", "Healthcare", "Travel and Hospitality", "Manufacturing". For a comprehensive list of all industries utilizing Cognigy, please visit Reo.Dev.

How many customers does

Cognigy
have?
As of now, we have data on
229
companies that use
Cognigy
.

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

According to usage insights, Cognigy sees the strongest adoption across several major tech hubs. United States leads with 50 companies using it, followed by Germany (31) and United Kingdom (15).Other regions with significant Cognigy usage include France (8), India (8), Netherlands (7), and Canada (2).Overall, Cognigy enjoys widespread implementation globally, powering applications across diverse industries and regions.

How to find companies that use

Cognigy
?

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

Cognigy
?

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.