Brisbane, 4000, QLD,
Australia
Obzervr Technographics
Obzervr Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Obzervr and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 30 Obzervr employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Obzervr has purchased the following applications: Microsoft Azure Machine Learning for ML and Data Science Platforms in 2017, Microsoft 365 for Collaboration in 2015, Zendesk Service for Customer Support in 2016 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Obzervr is running and its propensity to invest more and deepen its relationship with Microsoft , Zendesk , Intuit 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 Obzervr revenues, which have grown to $9.0 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 Obzervr 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.
Obzervr Tech Stack and Enterprise Applications
Obzervr 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, Obzervr deployed Microsoft Azure Machine Learning as its ML and Data Science Platforms capability within an Azure-first infrastructure. Obzervr has operated its solutions on Microsoft Azure and uses Microsoft Azure Machine Learning to ingest and adapt IoT data sources into the Obzervr platform, establishing the year of deployment and primary application early in the implementation narrative.
The implementation architecture centers on cloud-hosted data ingestion pipelines that populate reliable full-featured database solutions, with Microsoft Azure Machine Learning used to author, train, and score models that number-crunch operational telemetry. Functional modules emphasize data import and adaptation for IoT sources, model experimentation, and streamlined scoring workflows, enabling analytics workstreams without the need to assemble bespoke software clusters.
Integration is native between Microsoft Azure Machine Learning and the Obzervr platform, supporting end-to-end IoT data flows and model inference within Azure-managed services. Governance and operational practices prioritize Azure-managed databases and machine learning services to simplify infrastructure management, and the deployment delivers meaningful outcomes from analytics with a low-touch operational model.
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Obzervr Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft 365 | Collaboration | Collaboration | n/a | 2015 | 2015 |
In 2015 Obzervr implemented Microsoft 365 as its Collaboration platform. Obzervr lists Microsoft 365 on its website as part of its application stack, indicating the vendor relationship with Microsoft for core productivity tooling.
The Microsoft 365 deployment addresses needs of a 30-person professional services firm and centers on Collaboration capabilities commonly associated with the suite, including Exchange Online for hosted email, Office desktop and web applications for document creation, SharePoint and OneDrive for document management, and Teams for synchronous collaboration and meetings. Configuration patterns for a company of this size emphasize tenant-based identity, user license assignment and project team workspaces to support internal collaboration and client-facing project delivery.
Operational governance is expressed through tenant-level administration, role based group controls and built-in compliance settings to manage access and retention. The Microsoft 365 implementation impacts business functions across the organization, including internal communications, project management and client collaboration, and is surfaced in Obzervr's public technology disclosures on their website.
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Obzervr CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Zendesk | Legacy | Zendesk Service | Customer Support | CRM | n/a | 2016 | 2016 |
In 2016, Obzervr implemented Zendesk Service to support Customer Support on its website. The deployment leveraged Zendesk Service as a cloud-hosted, web-facing support channel for an Australia-based professional services firm with approximately 30 employees, centralizing inbound customer contacts through the site.
Configuration focused on web-based ticketing and the Zendesk Service agent interface, using on-site ticket capture and a centralized case queue to route inquiries to customer-facing teams. Governance consolidated ownership of customer requests and standardized support workflows, enabling a single platform for ticket creation, tracking, and resolution across Obzervr's support and customer success functions.
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Marketing Automation | CRM |
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2019 | 2019 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2021 | 2021 |
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Obzervr 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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2019 | 2019 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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IT Decision Makers and Key Stakeholders at Obzervr
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
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CTO, VP Engineering and Co-Founder | Manager | Finance | |
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Founder and CEO | CXO | Finance | |
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Apps Being Evaluated by Obzervr Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||