Oliveex’s IIoT software platform is able to digitalize any industrial setup. The platform integrates into industrial automation setups using widely used data transfer protocols, collects their data, and forwards them to the cloud. The platform focuses on the digital transformation of the food and beverages industries by combining and filtering the large volume of data generated daily into actionable insights and alerts. Specifically, it combines data from different production subsystems to evaluate the production operations and their efficiency. Oliveex’s platform acts as a supervisor over any industrial facility simplifying the logging/monitoring operations and quality control. A user can have immediate optimization in the following fields: 1) Efficient Logging/Monitoring: Leveraging continuous real-time analytics with current and historical data to optimize resources, people, equipment, and materials. 2) Enabling proactive actions instead of reactive: Using the platform the industry can have proactive notifications about possible malfunctions, production threats, or every sign that will be evaluated by the algorithm as an anomaly based on historical data. 3) Sustainability: By analyzing data from every subsystem we can immediately provide insights related to the power efficiency of its system, especially on cooling/heating mechanisms. Malfunctions can also be identified by preventing downtime, increased consumption, or decreased productivity. 4) Productivity & Business Intelligence: Knowing exactly what operation runs in every industrial asset, the next step is to combine that data to export productivity reports. Reports can be used either to evaluate past process performance or for better planning of upcoming processes. 5) Automated digital traceability with automated creation of a “digital file” for every process that is ongoing within the facility. Also, saving time with easy access to production data, organized in a meaningful structure.
Location: Greece
Employees: 1-10
Total raised: $320K
Founded date: 2020
Investors 1
| Date | Name | Website |
| - | TECS Capit... | tecs.capit... |
Funding Rounds 1
| Date | Series | Amount | Investors |
| 15.03.2022 | Pre-Seed | $320K | - |