Utrecht, 3526 KM,
Netherlands
Orbisk Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Orbisk and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 68 Orbisk employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Orbisk has purchased the following applications: Sama GenAI for Generative AI Platforms in 2022, New Relic APM for Application Performance Management in 2021 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Orbisk is running and its propensity to invest more and deepen its relationship with Sama , New Relic 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 Orbisk revenues, which have grown to $4.0 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 Orbisk 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.
AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Sama | Legacy | Sama GenAI | Generative AI Platforms | AI Development | n/a | 2022 | 2022 |
In 2022, Orbisk deployed Sama GenAI, a Generative AI Platforms application, to augment its computer-vision food-waste monitoring system and support operational and sustainability workflows. The implementation relied on Sama-provided high-quality image annotation, labeling hundreds of thousands of food images to populate Orbisk's analytic data stores and reporting pipelines.
Sama GenAI's image-model evaluation and human-in-the-loop validation capabilities were used to iteratively improve Orbisk's computer vision model performance and reporting accuracy. Configuration work centered on annotation quality controls, consensus reviewer workflows, and model feedback loops to tighten label-model alignment.
The Sama GenAI output was embedded into Orbisk's analytics stack to feed client-facing dashboards and operational teams serving restaurants and food service clients. The deployment directly supported operations and sustainability business functions by instrumenting monitoring, alerting, and waste reporting with validated image-level annotations.
Governance emphasized dataset labeling standards, reviewer throughput, and regular model validation cycles during rollout to maintain annotation consistency. Reported outcomes tied to the annotation and validation workstreams include client reductions in food waste up to 70% and avoidance of 200,000 kg of waste to date, demonstrating the operational impact of Sama GenAI on Orbisk's monitoring and reporting capabilities.
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| New Relic | Legacy | New Relic APM | Application Performance Management | ITSM | n/a | 2021 | 2021 |
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