Austin, 78759, TX,
United States
SparkCognition Technographics
SparkCognition Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by SparkCognition and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 221 SparkCognition employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that SparkCognition has purchased the following applications: Greenhouse ATS for Applicant Tracking System in 2022, Google Cloud Machine Learning Engine for ML and Data Science Platforms in 2016, Zoom for Audio Video and Web Conferencing in 2020 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems SparkCognition is running and its propensity to invest more and deepen its relationship with Greenhouse , Google , Zoom Video Communications or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing SparkCognition revenues, which have grown to $25.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for SparkCognition intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
SparkCognition Tech Stack and Enterprise Applications
SparkCognition HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Greenhouse | Legacy | Greenhouse ATS | Applicant Tracking System | HCM | n/a | 2022 | 2022 |
In 2022, SparkCognition implemented Greenhouse ATS as its Applicant Tracking System. The deployment uses Greenhouse ATS on their website to publish open roles and capture candidate applications through the public career site.
The implementation centers on core Applicant Tracking System capabilities, including job requisition publishing, candidate profile management, interview orchestration, and offer tracking. Greenhouse ATS was configured to standardize workflow stages, assign recruiter and hiring manager roles, and enforce structured interview kits and scorecards to support consistent evaluation across hires. Configuration prioritized web career site integration and applicant intake flows aligned with cloud based ATS operational models.
Operational ownership rests with SparkCognition recruiting and HR teams, supporting end to end hiring workflows from requisition to offer within the company recruiting function. Governance focused on standardizing hiring processes, establishing role based access to candidate data, and centralizing applicant records in Greenhouse ATS on the corporate career site.
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SparkCognition AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Cloud Machine Learning Engine | ML and Data Science Platforms | AI Development | n/a | 2016 | 2017 |
In 2016, SparkCognition implemented Google Cloud Machine Learning Engine under the ML and Data Science Platforms category to accelerate its DeepArmor Android malware detection engine. The implementation positioned Google Cloud Machine Learning Engine as the core managed ML layer for model training and serving within DeepArmor.
SparkCognition integrated Google Cloud Machine Learning Engine to host training jobs and production prediction endpoints, leveraging the platform's managed training and prediction services to handle large Android malware datasets. Configuration concentrated on model training pipelines, model hosting, and scalable online inference to support detection throughput. This approach centralized model lifecycle functions including model versioning and automated deployment into DeepArmor's runtime.
Operational scope remained product focused, with the DeepArmor Android malware detection pipeline using Google Cloud Machine Learning Engine for both experimentation and production inference. The deployment affected engineering and security operations teams responsible for model updates, monitoring, and deployment workflows.
The move increased the speed and scalability of DeepArmor, enabling higher throughput for Android malware detection at scale. Google Cloud Machine Learning Engine served as the production ML infrastructure for DeepArmor.
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SparkCognition Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Zoom Video Communications | Legacy | Zoom | Audio Video and Web Conferencing | Collaboration | n/a | 2020 | 2020 |
In 2020 SparkCognition implemented Zoom as its primary Audio Video and Web Conferencing platform and embedded Zoom functionality on its public website to support remote client engagement and external webinar access. The deployment leverages the Zoom cloud SaaS architecture to provide browser and client based meeting access for external stakeholders and internal teams, enabling direct join links and public facing registration flows from the corporate site.
Implementation emphasized standard conferencing modules common to Audio Video and Web Conferencing, including scheduled meetings, webinar hosting, screen sharing, recording, and browser based participant access. Operational scope covered professional services, sales, and engineering functions where Zoom is used for client consultations, internal collaboration, and public events, and governance centered on centralized scheduling, access controls and admin console configuration for user provisioning and meeting security. Integrations with other systems were not specified in the source information.
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Audio Video and Web Conferencing | Collaboration |
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2020 | 2020 |
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Collaboration | Collaboration |
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2015 | 2015 |
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SparkCognition Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Digital Signing | Content Management |
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2018 | 2018 |
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SparkCognition CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Account Based Marketing | CRM |
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2020 | 2020 |
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Account Based Marketing | CRM |
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2021 | 2021 |
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Customer Experience | CRM |
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2016 | 2016 |
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Customer Support | CRM |
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2019 | 2019 |
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Marketing Automation | CRM |
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2016 | 2016 |
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Marketing Automation | CRM |
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2018 | 2018 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2021 | 2021 |
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SparkCognition ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Performance Management | ITSM |
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2018 | 2018 |
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SparkCognition PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Transactional Email | PaaS |
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2020 | 2020 |
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Transactional Email | PaaS |
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2021 | 2021 |
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SparkCognition IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Hosting and Computing Services | IaaS |
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2021 | 2021 |
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Content Delivery Network | IaaS |
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2018 | 2018 |
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SparkCognition CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Secure Web Gateways (SWG) | CyberSecurity |
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2019 | 2019 |
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IT Decision Makers and Key Stakeholders at SparkCognition
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| Director of Product Management - Artificial Intelligence & Cybersecurity | Director | IT | ||||
| CTO | CXO | Finance |
Apps Being Evaluated by SparkCognition Executives
| Date | Company | Status | Vendor | Product | Category | Market |
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| No data found | ||||||