Like a senior engineer who knows your plant and is always available.
WizeeMind is your personal plant assistant, connecting documentation and systems to understand and act.
An operator’s questions are not the same as a director’s. WizeeMind adapts to what each profile needs.
An alarm appears and the message points to a fault, but it is not clear what caused it or what to check first. The information is spread across system screens, procedures, and manuals. The line stays stopped longer than necessary.
Information spread across system screens, procedures, and manuals.
Line stopped longer than necessary.
The product in action
This is how WizeeMind answers a real plant question.
Below is the list of Montse’s latest actions recorded in the system from February 20 to February 27, 2026. You can review the full details in the table below:
| $Date and Time | $operator_name | $action | $Description |
|---|---|---|---|
| filter data... | |||
| 2026-02-27 10:30:45 | Montse | Manual adjustment | Manual humidification valve adjustment |
| 2026-02-27 08:20:15 | Montse | Cambio consigna | Humidity setpoint adjustment for new requirements |
| 2026-02-26 11:35:22 | Montse | Parameter adjustment | PID parameter change for compensation |
| 2026-02-26 11:12:45 | Montse | Cambio consigna | Corridor 2 damper setpoint adjustment |
| 2026-02-26 11:10:22 | Montse | Cambio consigna | Office room damper setpoint adjustment |
| 2026-02-24 10:45:30 | Montse | Manual increase | Compensatory fan speed increase |
| 2026-02-23 15:10:25 | Montse | Switch to manual mode | Switch to manual control due to sensor failure |
| 2026-02-23 14:45:30 | Montse | Technical review | Technician inspects temperature sensor |
| 2026-02-22 09:20:05 | Montse | Switch to manual mode | Technician switched PID to manual mode due to excessive pressure |
| 2026-02-20 10:30:45 | Montse | Manual adjustment | Manual humidification valve adjustment |
During this period, alarms were identified related to humidification valve failures and pressure and humidity imbalances, with two main incidents:
These events indicate a direct correspondence between Montse’s actions in the system and the alarms generated afterwards.
Montse’s latest system actions between February 20 and 27, 2026 include manual humidification valve adjustments, PID parameter changes, compensatory fan speed increases, and setpoint adjustments in several areas, including Corridor 2. The frequency of adjustments in response to requirements or climate-system anomalies stands out.
A chart has been generated showing Corridor 2 pressure evolution during the previous week, specifically from February 6 to 12, 2026. Pressure is measured in Pascals (Pa) and associated with TAG PT-003_PV. This chart lets you clearly observe the behavior of the data collected during this period.
You can view the generated chart here:
Corridor 2 pressure last week showed variable behavior and, at times, was well below the minimum operating threshold of 10 Pa, indicating irregular climate-system operation against the configured setpoint. This points to issues that require quick intervention to guarantee suitable and functional climate conditions in that corridor. Consider reviewing the HVAC system and its components to resolve any anomaly.
Resultados Analizados:
The analysis shows that UTA-18 did not operate correctly during January 2026, with multiple significant technical incidents related to sensor failures, regulation issues, and frequent power cuts. The most relevant aspects are detailed below:
The production plan, starting on February 13, 2026 at 12:00, is designed to handle simultaneous orders for 50 kg of refined sugar and 80 kg of crystalline sucrose.
The refined sugar process does not require sublots, while sucrose must be divided into four sublots due to the 25 kg maximum capacity in the SAS room, identified as the main bottleneck. Operations were staggered to avoid conflicts in shared rooms.
The plan ensures that Corridor 2 climate remains within critical operating parameters, preventing pressure in that room from dropping below 10 Pa. It also guarantees fair allocation of people, supervisors, and operators, aligned with the defined shifts (morning, afternoon, and night).
Finally, consumption has been optimized to reduce waiting times and maximize facility usage. This results in smooth, on-time production, with sucrose completed on February 14 at 12:00 and refined sugar finished on February 16 at 20:00.
Capabilities
Every plant question has its own complexity. WizeeMind responds with the right action, from automatic reports to recommendations that need your confirmation.
WizeeMind cross-checks the equipment manual, maintenance history, operating procedures, and process data to explain why a critical alarm repeats and what the technical documentation indicates. It returns a structured answer with real plant context.
WizeeMind is a layer that connects existing systems, not a system that replaces them.
It connects to your authorized systems and documentation: PLCs, SCADA, historians, ERP, MES, manuals, and procedures.
It cross-checks sources, analyzes data, and reasons with operational context. It does not just search for information: it understands relationships between documents, data, and events.
It generates answers, reports, alerts, and action proposals. It runs authorized automatic tasks and proposes actions that you confirm.
Consensus verification
Several specialized intelligences analyze the same question, and the final answer is built from their consensus.
Industria alimentaria
At Splendid Foods, several automated lines suffered unplanned stoppages that were analyzed after the shift ended. Identifying the real cause was difficult: alarms in SCADA, events in the historian, and instructions in separate documents. WizeeMind connected all three and started answering in minutes what used to take hours. In implementation phase with industrial clients.
The alarms were in SCADA, the events in the historian, and the instructions in separate documents. Analysis took hours and happened when it no longer had operational impact.
It cross-checked line SOPs, SCADA, and historian data. It returned recurring alarms, their relationship with format changes, a repeated time window, and a fine-tuning recommendation.
The decision changed from investigating causes after the fact to analyzing immediately with full context. The diagnosis arrives while there is still time to act.
The team
WizeeMind comes from a technical team with direct experience in productive plants. We are not a software company that discovered industry. We come from it.
We know the reality of a plant because we have worked in environments where automation systems, complex technical documentation, and decisions that cannot wait coexist.
Based in Barcelona, at the heart of the Mediterranean industrial fabric.
Team competencies
WizeeMind is developed with direct experience in environments where automation systems, information systems, and complex technical documentation coexist.
The team works on integration between plant systems (PLC, SCADA, historians) and corporate systems (MES, ERP, CMMS).
The experience includes operational-intelligence projects focused on energy and production efficiency applied to process industry.
The knowledge comes from projects executed directly in industrial plants and real operating environments.
Team members have previous experience in regulated and validated environments acquired in prior projects.
It is not a 12-month IT project. It is someone that thinks with you from day one.
No submodules, no labyrinths. WizeeMind.
Not just data: technical documents + process data + operational context, cross-checked and reasoned through.
We come from where you work.
Documentation and subsystem access remain in your infrastructure.
WizeeMind connects to the systems you already have. These are the tested integrations, architecture, and security controls.
| System type | Sistema probado | Acceso |
|---|---|---|
| ERP | SAP, Business Central | Solo lectura |
| MES / MOM | ADA | Solo lectura |
| SCADA | Wonderware System Platform | Solo lectura |
| Historian | Historian industrial, AVEVA PI | Solo lectura |
| Corporate database | SQL Server | Solo lectura |
| Energy-consumption web portal | Client-specific portal | Solo lectura |
Your data
Documentation and subsystem access in your infrastructure
AI models
Job execution and output generation
Your plant documentation and access to your subsystems always remain in your infrastructure. AI models can run in the cloud or on your own server.
WizeeMind can run fully locally with the right infrastructure.
Encryption in transit and at rest
Data protected at all times
Roles, permissions, and corporate authentication
SAML, OAuth/OIDC, LDAP/AD
Audit logs and traceability
Complete action record
Data residency in Europe
Regiones europeas
100% on-prem capability
Deployment on your server
Multi-modelo
No dependency on a single provider
We prefer you know where our limits are before contacting us. This is what WizeeMind does not do today.
It is not a MES, ERP, or SCADA. It integrates with them; it does not replace them. Your infrastructure remains yours.
It needs prior configuration and permissions to execute actions in systems. Without rules, it does nothing on its own.
It assists and proposes. Technical validation and the final decision always belong to the person responsible for the operation.
Any action on systems requires explicit user confirmation. Without authorization, it is not executed.
If sources contain errors or are outdated, the answer may be incomplete. That is why it always indicates the sources used so you can validate them.
We are working to expand coverage to this type of technical diagram. The “yet” is literal.
Answer quality depends directly on the availability and quality of the connected data.
The initial effort is similar to explaining the processes to someone new on your team. With context and use, WizeeMind answers with its own judgment in 4 to 8 weeks.
A machine with access to your subsystems, the available documentation, and the start of actual use.
It connects to your authorized systems and is configured without interfering with operations.
Week 1It absorbs your documentation and starts answering with plant context.
Semanas 2–4It answers by cross-checking sources, cites documents, and improves with every interaction.
Semanas 4–8+The more information you give it, the better its answer becomes, like any new person on your team.
You will receive a first response within an estimated two weeks.
We read your case and understand the context.
We analyze fit and propose the next step.
If there is a fit, a more detailed session to go deeper.
Every implementation is unique. It depends on the number of systems, documents, and the complexity of your environment. You will receive a quote after the assessment, with no commitment.