We don't work with a closed catalogue, nor do we have agreements with any technology vendor. We analyse your company, identify the highest-impact use case and recommend the solution that genuinely makes sense for your context: it may be an existing tool, custom code or a combination of both.
We have no commercial agreements or incentives with any software maker. We can recommend an existing SaaS tool, build custom code or combine the two — because the recommendation benefits no one but the client. The decision is made by the diagnosis.
We assess every solution through the lens of security and regulatory compliance. Where your data goes, who has access and how it is stored. If the optimal solution is a third-party SaaS, we make sure it meets the standards your company requires.
When the solution involves custom development, the source code and the models are yours. Documented handover, with no future dependence on Forecastrax. Your internal team can maintain it, audit it and evolve it without us.
We design integrations with privacy by design. GDPR, decision traceability and auditable documentation. Especially relevant in industrial environments handling production, financial or personnel data.
Before proposing any solution, we identify whether the challenge is to eliminate a manual process or to anticipate something that unfolds over time. Each side implies a different technical approach, a different timeline and often a different technology. The diagnosis determines it.
When the challenge is to eliminate manual, repetitive tasks, we analyse which approach is the most efficient: configuring a tool that already exists on the market, building custom code or combining both. The decision is made by the diagnosis of your context, not by any prior technological preference.
When the value lies in anticipating —a breakdown, a drop in sales, a cash-flow problem— we build machine learning models trained on your company's historical data. It requires existing data, a rigorous pilot and a validation process before going into production.
Improve plant efficiency: automated quality control, predictive maintenance and digitised documentation. Every case starts from a real diagnosis of your facility.
Detect machinery faults weeks before they happen. Non-invasive sensors on the existing installation, a predictive AI model and automatic alerts to the maintenance team.
High-resolution industrial cameras with deep learning trained on the specific parts from your line. Detects defects that the human eye misses.
Non-invasive connection to existing PLCs and SCADAs. Real-time dashboard showing availability, performance and quality by line, shift and operator. The AI detects patterns and proposes improvements.
OCR and digitisation of technical documentation. Automatic classification by type, version and area. Detection of duplicates and outdated versions.
Automate the sales cycle, anticipate customer behaviour and spot business opportunities without expanding the sales team.
Extracts requirements from requests received by email, form or WhatsApp. Checks the catalogue, applies pricing rules and generates a quote in minutes. The sales team only reviews and sends.
ML model on 18+ months of transactional history. Predicts sales by customer, product and channel. Detects customer churn risk 6 weeks in advance.
We define your ideal customer profile and search industrial directories, LinkedIn and sector databases. Filters by sector, size, geography and technology. Automated outreach sequence.
Monitoring of public and private procurement portals. Alerts you when it detects relevant tenders. Analyses the specifications and generates an executive summary to decide whether to bid.
Cash-flow forecasting, overdue-payment management, bank reconciliation and unified financial visibility to make decisions based on real data.
Open banking + ERP connection via PSD2 API. Captures real transactions, invoices, orders and recurring contracts. Predictive ML model with 92% accuracy at a 6-week horizon.
Dynamic scoring updated weekly based on payment history, behaviour and sector. Automated communication sequence: pre-due reminder, due-date notice and follow-up.
Connects ERP, CRM, Accounting and HR into a single executive dashboard. Automated ETL, a single connection per source. A consolidated view to make decisions with data, not intuition.
Ingestion via open banking, OFX or direct import. Automatic matching between statements and accounting entries. Custom business rules. Monthly close in 24–48h.