Our Commitment
Transparency & Collaboration
We serve as a seamless extension of our clients’ teams, developing fully documented solutions with a fixed-price budget based on the agreed-upon Scope of Work.
Tailored Focus
We concentrate on your unique challenges, adapting our technology to both your initial requirements and future evolution.
Scalability & Agility
Combining a vast library of AI components with the capability to rapidly adapt and deploy new features, often in under 4 weeks.<
Security and Quality Assurance
ISO 27001-certified since 2022 and ENS medium-level certified since 2026. ISO 9001 coming soon.
Seamless Integration
Fully compatible with your existing technology stack, supporting deployment options including Cloud, On-premise, and Edge.
Management Team
Strategic Advisory Board
Foqum Saudia
Domingo Caamaño Guerrero
Automotive and Consumer FinanceCurrently Director of Carrefour Servicios Financieros and Founder of Sevenzonic Capital.
Jaime Kirkpatrick de la Vega
Insurance and BancassuranceMónica Espinosa Caldas
Utilities and HealthcareReyes Escolano Mena
Third Sector and HealthcareMaría José Gómez Serrano
Legal Counsel and Secretary of the BoardAyed Almahan
Chief AI OfficerAbdulrahman Alghulisy
Legal AdministrationBssmah Bin Shoail
Project Management AssistanceAmbitious and self-motivated professional focused on innovation, efficiency, and emerging technologies to drive continuous improvement and team success.
Talal Alshammri
HR ManagerProfessional experience in managing human resources operations at TYPSA Consulting Group.
Mohammed AlKhalifah
Technical Pre-Sales DirectorSome of our success stories
Discovery
Objective: Digitalization of a national company dedicated to the production and global sale of farmed sea bass.
Results:
Roadmap of 12 projects across 4 areas
Average savings in process automation
Natural Language Processing
Objective: European leader in legal information aiming to enhance customer experience.
Results:
Classifier accuracy
Model computation time
Relevance in similar document search
Computer Vision
Objective: Highway concession multinational seeking to automatically classify vehicles by type and toll category.
Results:
Accuracy in vehicle counting
Average precision in length and toll category classification
Savings in infrastructure investment planning
Audio Neural Networks
Objective: National advertising analytics company seeking to improve efficiency and traceability in the automatic detection of ads within radio and TV audio files.
Results:
Accuracy in radio ad detection
Cost savings in the radio department
Task-Oriented Algorithms
Objective: Development of an automated market research report generator for a leading company in the telecommunications sector.
Results:
Automated reports generated in under 30 minutes
Average savings in process automation






