Dwall · Data platform
All your business data, on a platform built for you.
Dwall connects machines, sensors and management systems in a single environment, where they are visualised, monitored with alerts and analysed with AI models built for your business.
It works with what you already have, whatever the manufacturer or system, and with no licence costs: the platform stays as a digital asset of your company. If you do not yet have a digital environment in which to integrate AI, we start here.
Dwall Intelligence · Dwall’s AI layer
We connect the AI you already use to your real business data.
The information is there, but scattered: to get an answer you have to know where to look or wait for someone to prepare a report. Dwall Intelligence brings your data to the AI you already use, so you can ask it directly.
And it does not stop at answering: it also acts in your tools, such as creating a Jira task or sending an alert, always with your approval.
Your data, where it already is
We connect to what you already have (machines, sensors, sales, incidents) with no migrations or copies, and complete it with external data such as weather or market prices.
Your business catalogue
We prepare the questions, indicators, dashboards and actions specific to your company. That is why it answers in your vocabulary, not generically.
Your team and its AI
From the AI chat your team already uses or from Dwall’s. No vendor lock-in.
Some of the sources we connect
- ERPSAP, Microsoft Dynamics, Odoo…
- DatabasesSAP HANA, SQL Server, Oracle, PostgreSQL…
- CMMSIBM Maximo, Infor EAM…
- SCADA and sensorsOPC UA, MQTT, Modbus…
- Files and APIsCSV, Excel, REST…
- External servicesweather, market prices, Jira, email…
This is how it answers. Three businesses, one assistant.
Energy
Question: Which turbines are underperforming this week at the Ulia wind farm?
Dwall Intelligence
- Turbine performance · 7 days (Dwall)
- Power curve · Ulia 07 (Dwall)
- Electricity market price · 7 daysexternal
Ulia 07 is running 8.4% below its power curve, adjusted for wind: about 11.6 MWh less over 7 days, since 3 October. At the average market price, that is ≈ €1,070 in lost production. The rest of the farm is within range.
Question: When can we stop it for an inspection?
Dwall Intelligence
- Weather forecast · 5 daysexternal
- Maintenance calendar (Dwall)
On Thursday from 7:00 to 13:00: wind is forecast below 4 m/s and no other stoppages are scheduled. The inspection would cost almost no production.
Industry
Question: Which line is generating the most rejects this week, and why?
Dwall Intelligence
- Quality by line · 7 days (Dwall)
- Correlation with process variables (Dwall)
- Open orders · ERPexternal
Line 3 accounts for 62% of rejects (4.1% against the usual 1.3%). It coincides with a rise in mould temperature on the night shift (correlation 0.78). It affects 2 orders due on Friday.
Rejects by line · %
L3 mould temp. · °C
Retail
Question: How are we doing today against the sales forecast?
Dwall Intelligence
- Today’s sales by time slot (Dwall)
- Today’s forecast (Dwall)
- Weather forecast · tomorrowexternal
- Public holiday calendarexternal
You are 6% above forecast at 13:00, especially in the bakery (+14%). Tomorrow is a public holiday and rain is expected: forecast demand rises by 9%. It is worth bringing forward the 17:00 bake and stepping up tomorrow’s.
It answers with your data.
Every figure comes from the platform, queried at that moment. It does not invent or estimate.
Everyone sees their own.
People ask with their own permissions and data never leaves the platform.
Nothing without your approval.
It prepares tasks and reports with the evidence, but creates nothing until you confirm.
Use cases
A flexible, accessible environment with custom modules that process millions of data points analysed over the years.
Blade inspection
Automatic detection of damage on wind turbine blades from drone inspection images.
Part quality
Predicts the quality of each part from process and machine parameters. Real-time analysis of which parameters to adjust to prevent defects on the most critical lines.
Bakery planner
Bread-baking planning for each store and time slot based on the sales forecast, reducing waste and stock-outs.
Forecast and coverage
Demand forecasting by item and stock coverage calculation for production planning.
Rules and incidents
Dwall’s alerts and alarms module: rules on any variable that open incidents and notify the right people.
Pump health
Monitors the condition of the plant’s pumps to anticipate degradation and plan maintenance.
Power curve
Comparison of the actual output of each wind turbine with its theoretical curve to detect performance losses.
AI technical assistant
Its engineers query a library of some 1,700 formwork, scaffolding and shoring manuals in natural language.
Inverter prediction
Models that predict inverter IGBT temperature and retrain themselves when they lose accuracy.
Real-time manufacturing cell
The live status of every machine in the cell, and lubrication pressure curves compared against a master pattern.
Technology
Understanding AI to make better decisions
Four types of AI with a direct impact on the business
Predictive AI
Predictive analytics
Anticipate customer behaviour, demand patterns and business risks from historical data.
Classification systems
Automatically classify, tag and route data, from emails to transactions and support tickets.
Anomaly detection
Spot unusual patterns that point to fraud, system failures or security breaches.
Generative AI
Content generation
Draft text, code and designs from instructions (emails, reports, documents, images).
Code generation
Write, debug and refactor code to speed up software development.
Conversational AI
Internal and external chatbots that improve the employee and customer experience.
AI agents
Knowledge systems (RAG)
Bring your own data into AI so it can answer questions about your business.
Tool use and MCP
Connect AI to APIs and external systems to fetch information and take action.
AI agents
Complete tasks autonomously, such as resolving tickets or producing reports.
Agentic AI
Workflow automation
End-to-end automated processes.
Multi-agent orchestration
Coordinated agents that collaborate and delegate.
AI built into products
Native products with AI at their core.