Custom projects that connect devices, sensors and operational data to intelligent alerts, analysis and dashboards. Every engagement is scoped individually, never sold as an off-the-shelf product. Device data can flow straight into your AI business dashboard.
These are potential use cases, not packaged products. Each one is assessed for feasibility against your equipment, data and goals before anything is built.
Bring readings from sensors and equipment into one live view.
Notify the right person when temperature, vibration or usage crosses a threshold.
Explore whether your equipment history can signal issues before failure.
Find patterns in usage, downtime and efficiency with machine learning.
Automated summaries of operations for owners and managers.
Show device data alongside sales, leads and operations.
We review your equipment, data sources and goals to see what is realistic.
We test the idea on a small scale with real data before committing to more.
We roll out to a limited area, measure results and refine.
We expand what works and provide ongoing monitoring and improvements.
Predictive and machine learning outcomes depend on data quality and history. We confirm feasibility before recommending a build.
AI, machine learning and IoT consultants help businesses use data from operations and connected devices to spot problems early and make better decisions. Enterprise 47 works as a data and AI consultant for growing businesses, scoping projects such as sensor alerts, predictive maintenance concepts and IoT data in dashboards. These are custom projects, not off-the-shelf products.
No. Many useful projects start with data you already collect. We assess your data readiness first and only recommend machine learning when simpler automation or reporting will not do the job.
No. We are hardware agnostic. We advise on suitable devices, work with your existing equipment where possible and integrate the data.
No. It depends on having enough quality historical data. We assess feasibility first and tell you honestly if the data is not there yet.
A small, time-boxed test using real data to confirm an idea works before you invest in a full rollout.
Often yes, if the devices or their platforms offer data access through an API, export or standard protocol.
Timelines vary widely by scope. Each phase is scoped and scheduled separately so you only commit to the next step once the previous one proves its value.
Tell us about your equipment, data and goals. We will give you an honest view of what is feasible.