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Ignition AI Technographics
Ignition AI Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Ignition AI and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 6 Ignition AI employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Ignition AI has purchased the following applications: Microsoft Azure Machine Learning for ML and Data Science Platforms in 2017, Microsoft Power BI for Analytics and BI in 2020, Google Workspace (Formerly Google G-Suite) for Collaboration in 2015 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Ignition AI is running and its propensity to invest more and deepen its relationship with Microsoft , Google , Sinch 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 Ignition AI revenues, which have grown to $1.0 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 Ignition AI 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.
Ignition AI Tech Stack and Enterprise Applications
Ignition AI AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Azure Machine Learning | ML and Data Science Platforms | AI Development | n/a | 2017 | 2018 |
In 2017, Ignition AI implemented Microsoft Azure Machine Learning to underpin its predictive advertising platform. Microsoft Azure Machine Learning is the chosen ML and Data Science Platforms to run model orchestration and low-latency inference for the company’s real-time consumer intelligence workflows.
The deployment centralizes outcome-driven model development where models autonomously generate decision logic rather than being hand-coded. Implemented capabilities include continuous model training, automated inference pipelines, real-time scoring at sub-50 millisecond latency, cross-device consumer identification, and dynamic bidding logic that feeds ad placement and personalized copy selection.
This implementation is hosted within a fully connected Microsoft Azure ecosystem, leveraging platform-managed compute and storage to scale model weight in minutes while Microsoft handles infrastructure management. Platform-level security and data governance are applied to the data processing and inference pipelines, enabling GDPR compliance across collection, model training, and live scoring.
Operational scope focuses on advertising and marketing business functions, supporting Marketing Directors and campaign teams with predictive targeting and personalized creative delivery. Ignition AI attributes measurable client outcomes to this configuration, reporting cases of halving client budgets and doubling advertising effectiveness while the internal team concentrates on algorithm development and campaign orchestration.
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Ignition AI Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Power BI | Analytics and BI | Analytics and BI | n/a | 2020 | 2020 |
In 2020, Ignition AI implemented Microsoft Power BI to establish client facing and internal reporting capabilities. The deployment uses Microsoft Power BI on their website to surface interactive dashboards and visual reports for prospects and clients, embedding report views into public and authenticated pages. This implementation delivers Analytics and BI functionality that centralizes visualization and data exploration for the professional services firm.
Configuration emphasized lightweight data models and templated reports, with scheduled dataset refresh and role based access applied to govern who can view embedded content. Integrations are focused on internal project and engagement data sources and web embedding, with Microsoft Power BI serving as the primary analytics layer for the company's small operations. Governance is organized around single owner report stewardship and simple update workflows suitable for a six person organization.
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Ignition AI Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Workspace (Formerly Google G-Suite) | Collaboration | Collaboration | n/a | 2015 | 2015 |
In 2015, Ignition AI implemented Google Workspace (Formerly Google G-Suite) as its primary Collaboration platform. The company provisioned a cloud-hosted Google Workspace tenant under its corporate domain to centralize email, identity, and basic collaboration services for its small professional services team. The deployment supports day-to-day workflows including corporate email, meeting scheduling, and collaborative document editing across the organization.
Implementation included core Google Workspace (Formerly Google G-Suite) modules such as Gmail, Calendar, Drive, Docs, Sheets, and Meet, administered via the Google Workspace Admin console for user provisioning and access control. Operational coverage is organization-wide for Ignition AI and aligns with business functions in communications, document management, and project coordination for a six-person team. Governance centers on administrative user management, domain-level policy configuration, and consistent account provisioning rather than multi-system integration.
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Ignition AI CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Digital Advertising Platform | CRM |
|
2018 | 2018 |
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Ignition AI PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Transactional Email | PaaS |
|
2014 | 2014 |
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Ignition AI IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2020 | 2020 |
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Application Hosting and Computing Services | IaaS |
|
2019 | 2019 |
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Content Delivery Network | IaaS |
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2019 | 2019 |
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IT Decision Makers and Key Stakeholders at Ignition AI
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| Founder and CEO | CXO | Finance | ||||
| CTO | CXO | Finance |
Apps Being Evaluated by Ignition AI Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||