VIRA
Contact details:
Company: STRATEGOS COGNITIVE, S.L.
Contact: Antonio Garrido
Telephone: +34 637 167 987
Email: agmunoz@strategosinowa.com
Project description:
VIRA Automotive is an artificial intelligence agent platform specialized in Tier 1, Tier 2, and Tier 3 automotive suppliers. The solution operates on the management systems already implemented within the company—ERP, QMS, CAQ, Power BI, or other corporate tools—to interpret customer and regulatory requirements, detect deviations, manage evidence, and support decision-making in quality, auditing, and continuous improvement.
Its value proposition consists of transforming systems traditionally focused on information recording into a more proactive management environment, capable of linking requirements, processes, controls, evidence, and corrective actions. In this way, it helps reduce non-conformities, minimize the cost of poor quality, and decrease the effort dedicated to system management, while continuously incorporating expert knowledge and predictive capabilities.
| −65%
Audit readiness IATF 16949 / VDA 6.3 |
−70%
Hours in recurring document management |
−50%
Non-conformity resolution time |
| −40%
No quality cost: scrap, rework, escalation |
Day 1
Expert judgment from the outset, without intensive implementation |
×3
Speed ​​of response to escalations and CSR requirements |
Solution & technologies:
VIRA is based on an ecosystem of specialized agents that address the main challenges of quality management and compliance in the automotive industry. The platform incorporates capabilities to automatically interpret customer-specific requirements (CSR), manage audits, analyze incidents and non-conformities, identify root causes, and track corrective actions using widely adopted methodologies in the sector, such as 8D, A3, or QRQC.
In addition, it integrates advanced data analytics and artificial intelligence capabilities to anticipate quality deviations, defects, scrap levels, or process capacity issues, enabling a shift from reactive models toward preventive strategies based on anticipation and continuous improvement.
The solution is deployed on a secure cloud architecture with generative artificial intelligence, RAG, semantic search, and customer-level data isolation. Its design incorporates Zero Trust principles, end-to-end encryption, and compliance with security and data protection requirements demanded in industrial environments.
Innovation contributed:
VIRA turns expert knowledge into a permanent operational capability within organizations. Unlike traditional management systems, which focus on storing information or recording evidence, the platform interprets requirements, connects processes, documentation, and evidence, and applies specialized methodologies to real automotive industry challenges to support decision-making.
Its main differentiator lies in the combination of artificial intelligence, proprietary methodologies, and deep specialization in industry standards and processes, such as IATF 16949, VDA, and customer-specific requirements (CSR). This combination enables the transformation of data and documentation into actionable knowledge, the anticipation of risks, and a reduced dependence on expert knowledge concentrated in specific individuals.
As a result, VIRA helps organizations evolve from a reactive management approach based on document control and incident resolution toward a more predictive, traceable, and continuous-improvement-oriented management model.
