Systems integration
Connecting marketplaces, shops, ERPs, banks, public authorities and internal applications through their official APIs, with revocable permissions, a log of every call and quota control.
RESTOAuth 2.0WebhooksSFTPXML · CSV
Data engineering · Integrations · Applied AI
We turn scattered data into visual, actionable insight
We connect sales platforms, business systems, machines and public authorities; we unify their data on our own infrastructure and turn it into dashboards, alerts and reports available on desktop and mobile.
Official APIsRegistered developer with Amazon, eBay and WordPress.org
AI on our own hardwareLanguage, speech and vision models on dedicated GPUs
In productionOur own systems running daily with real customers
Capabilities
From raw data to decisions
Six lines of work that we combine in every project. All of them stem from systems we develop and run in production for our own platforms.
Data engineering
A common data model for heterogeneous sources: normalisation, validation, history and traceability, so that every figure can be traced back to its origin.
ETLSQLHistoryAudit
Analytics and dashboards
Custom indicators and dashboards (sales, margins, costs, stock, performance) with period and channel filters, automatic alerts and exportable reports.
KPIDashboardsAlertsReports
Machines and performance
Capturing data from machines, sensors and plant systems to measure availability, performance, energy use and downtime, and to anticipate maintenance.
TelemetryOEEEnergyMaintenance
Applied AI for business
Bringing artificial intelligence into real processes: layers of in-house knowledge, document reading, multichannel support and on-premises hardware when data must not leave.
Local LLMRAGOCRVoice
Custom software and apps
Web and mobile applications for Android and iPhone, and optimisation of existing software: performance, process automation and less manual work.
WebAndroidiOSPWA
Method
How information flows
Every project follows the same path, from source to indicator. What changes is what gets connected and what needs to be seen.
01
Capture
Each source is connected through its official interface or a gateway, using the customer's own credentials.
- APIs and webhooks
- Files and SFTP
- Sensors and PLCs
- Email and documents
02
Normalisation
Sources are translated into a common model: same units, same dates, same currency and no duplicates.
- Common data model
- Validation and quality
- Versioned history
03
Analysis
Indicators are calculated, deviations are detected and AI classifies and summarises incoming information.
- KPIs and margins
- Anomaly detection
- AI classification
04
Visualisation
Dashboards in the browser and on mobile, alerts when something goes off track and reports for management.
- Web and mobile dashboards
- Alerts
- Reports and export
Dashboards
Indicators you understand at a glance
A single dashboard brings together what is currently spread across platforms, spreadsheets and plant systems. Each indicator is defined with the company's management and shows where its figure comes from.
Illustration with fictitious data. The indicators of each dashboard are defined with each company.
Industry and operations
Connected machines, measured performance
We connect machines, sensors and plant systems to record their status, output and energy use in real time. That data is combined with orders, costs and schedules to measure what each line really delivers.
The result is available on the dashboard and on the manager's phone, with alerts when a machine stops or loses performance.
- Availability, performance and quality (OEE) by machine and shift
- Downtime recorded with its cause and duration
- Energy use per line and per unit produced
- Maintenance alerts before the breakdown
Illustration with fictitious data.
Line 1Running
94%
Line 2Low performance
71%
Line 3Stopped
0%
AI in the company
Artificial intelligence built into daily work
We help companies bring AI in where it adds value: repetitive processes, internal queries, documents that need reading and filing, customer service. First we measure where time is lost; then we roll it out in phases, with verifiable results.
The AI works on the company's own knowledge, organised in layers, and connects to the systems already in place. When data must not leave the organisation, we set up the hardware on premises.
- Process analysis and where AI adds value
- Layers of in-house knowledge: documentation, procedures and history
- Integration with ERP, email, telephony and internal applications
- GPU servers at the customer's premises or in ours
Case study: MAi
A tax and operations assistant we developed, in daily use at Ticdat Consulting. It runs on our GPU servers, answers through every channel with a single engine and passes what it does not know to a person.
PortalChatEmailWhatsAppPhone
L0
Validated knowledgeAnswers reviewed by professionals and FAQs, served instantly without going through the model.
L1
Model with document searchA language model answers based on the company's documentation and history.
L2
Human review and learningWhatever the AI cannot answer goes to a person; their answer is added to the knowledge base for next time.
HW
On-premises hardwareGPU servers dedicated to language, speech and vision, like the ones running MAi. Data never leaves the infrastructure.
If a specific task is better handled by an external model, its use is limited to that task and expressly agreed with the customer.
Integrations
Connections in production
We are registered developers on the platforms we work with. These integrations are built and in use in our systems:
Marketplaces
- Amazon SP-API
- Amazon Ads API
- Amazon Brand Analytics
- eBay
- TikTok Shop
Shops and payments
- veshops
- WooCommerce · WordPress.org
- Stripe
- VIES
Tax authorities
- Spanish Tax Agency · SII
- VeriFactu
- HMRC MTD
- Tax returns and files (ES, DE, IT)
Communication
- WhatsApp Business
- IP telephony
- Self-hosted email
Accounting and banking
- Own accounting ledger
- ContaSol
- Enable Banking
Dashed border: the integration is built and awaiting the platform's approval or the move to production.
Infrastructure
Our own infrastructure, data under control
What we build runs on our own servers in Spain: applications, databases, email, telephony and artificial intelligence. Backups are encrypted and stored in the European Union.
2 GPUsOur own inference servers for language, speech and vision
SpainOur own servers; encrypted backups in the EU
AES-256Encryption of personal data coming from marketplaces
SP-APIDeveloper approved by Amazon, with sellers connected
Our products
Platforms we build and operate
Besides custom projects, we run our own platforms in production. They are the technical foundation of what we offer.
ecomverifyecomverify.comPlatform for online sellers: connection to Amazon and other channels, bookkeeping, VAT in several countries and document management.
veshopsveshops.comOnline shop technology on each merchant's own domain, with a trust seal and connected to ecomverify.
MAiIn-house AIAssistant with knowledge layers that answers through the portal, chat, email, WhatsApp and phone from our servers.
Mini-gamesIn developmentA line of casual mobile games. The first title is at prototype stage.
Let's discuss your project
Tell us which systems you use, what information you want to connect and which decisions you need to make with it. We reply with a specific, phased proposal.
Security reports: security@ecomverify.email.