IT Operations Automation · Real-time Analytics
OnticWorks.io needed its Elmer agentic platform to reason within the physical and operational context where work happens instead of relying on disconnected dashboards, emails, sensor feeds, and simulations that users still had to interpret manually.
Reported impact
OnticWorks.io used contextual AI to reclaim manager time, cut agricultural water use and manual monitoring, improve crop yields, accelerate its robotics education launch, and help students deploy autonomous agents from simulation to physical hardware more successfully.
OnticWorks.io integrated IBM Bob into Elmer's core reasoning loop so the platform could attach spatial context to the multimodal information it was already processing. Cameras, environmental sensors, drone systems, enterprise applications, and user interactions feed the system, while IBM Bob models the relationships between people, places, assets, and events as they unfold. IBM watsonx.ai supplies the multimodal reasoning layer and NVIDIA-powered inference runs on Red Hat OpenShift, allowing Elmer to combine voice, vision, gesture recognition, and operational telemetry before producing a recommendation. Recommendations are then routed through a draft-and-approve workflow so humans remain in control and the system learns from overrides and approvals. OnticWorks.io reused the same architecture across administrative operations, agricultural decision support, and robotics education rather than building separate products for each environment.
Webcams, sensors, drones, enterprise applications, and user interactions feed Elmer; IBM Bob enriches those inputs with spatial relationships, IBM watsonx.ai reasons over the multimodal context on Red Hat OpenShift, and the platform returns draft recommendations that users approve, modify, or override.
58% less irrigation water use and 23% higher crop yields
8-12 hours reclaimed per week for managers
Combined with IBM watsonx.ai for multimodal reasoning, NVIDIA-powered inference capabilities, and deployed on Red Hat OpenShift, Elmer could move beyond analyzing data about the world to reasoning within it.
Every recommendation followed the same draft-and-approve workflow, ensuring that users remained in control of consequential decisions
To move intelligence closer to the environments in which decisions occur, OnticWorks.io integrated the spatial understanding capabilities of IBM Bob into Elmer’s core reasoning loop.
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Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
The official site states that onticworks.io is "A subsidiary of Avid Solutions International."
The parent company contact page lists "Headquarters Peoria | Atlanta," supporting a United States operating base for the subsidiary.
The official site identifies onticworks.io as "A subsidiary of Avid Solutions International."
The parent company contact page lists "Headquarters" as "Peoria | Atlanta," supporting a United States operating region for the subsidiary.
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