We validate your AI so you can put it into production with confidence

The challenge is no longer building an AI. It is making it reliable, secure, and scalable.

info@serquo.com

Evaluate, test, improve, and monitor your AI solutions.

We help leading companies in highly regulated sectors deploy their generative AI solutions at scale. Verify that your models are reliable, secure, and compliant with regulations before putting them into production. Simulate generative AI use cases, generate synthetic test data, detect biases, measure precision and robustness, and receive detailed reports with personalized metrics and practical recommendations. Subject your AI to complete stress tests with tools designed for the new generative models and launch your products with evidence, transparency, and auditability, demonstrating their technical soundness, regulatory alignment, and consistency with business objectives.

We validate your AI product:

We offer a scientific and comprehensive approach to advanced generative AI validation, combining technical rigor, synthetic data generation, and real-use simulation to ensure security, reliability, and regulatory compliance before deployment. Cutting-edge technology that allows for identifying vulnerabilities, measuring performance, and strengthening models in controlled environments, adapting each test to the business context and needs.

• End-to-end validation and evaluation: execute complete evaluations and obtain verifiable reliability metrics
• Generation of synthetic datasets at scale: we reproduce edge-cases and risk situations in a sandbox environment to validate model behavior in infrequent and critical situations
• User simulation and multi-turn measurement in conversational environments: we reproduce real interactions to validate coherence, consistency, and robustness.
• Red teaming strategies: we subject models to controlled attacks in natural or coded language, incorporating customer feedback to optimize the context and strengthen system robustness.
• Monitoring and control in production: continuous performance tracking with configurable post-deployment alerts.
• Regulatory compliance certification (EU AI Act /GDPR): possibility of certifying your solution in production and attesting to conformity with current standards.

The challenge of ai validation. According to MIT, 85% of AI developments do not reach production.

Which translates into multi-million dollar investments without return due to not performing AI validation for a validated launch.

Benefits for your organization

• Improve the ROI of your AI projects: turn validation into an accelerator for return on investment. By reducing errors in early stages, optimizing model performance, and avoiding production incidents, you increase operational efficiency and shorten the generative AI adoption cycle.
• Minimize production risks and failures: identify vulnerabilities, biases, and unexpected responses before deployment, ensuring your models operate with reliability, coherence, and control.
• Accelerate time-to-market without compromising quality: validate your models in realistic testing environments with synthetic data, reducing iterations and rework, and shortening the path from laboratory to production.
• Ensure compliance and traceability: generate verifiable evidence and technical documentation adapted to regulatory and normative requirements (European AI Act, GDPR, internal or external audits).
• Optimize engineering resources: automate large-scale testing and complex simulations, reducing manual load and allowing technical teams to focus on innovation and continuous improvement.
• Strengthen business and stakeholder confidence: demonstrate with evidence that your AI solutions are secure, explainable, and aligned with your organization's strategic and compliance objectives.

In this context, strengthening the reliability, transparency, and compliance of AI systems cannot rely solely on internal processes or best practices. It requires specialized technology, scientific validation, and a simulation capacity that is up to the challenges faced by large organizations. For this reason, Serquo has decided to take a step further and ally with a leading technological partner, capable of providing the necessary infrastructure and rigor to take AI validation to the next level.

OUR METHODOLOGY

1. Diagnosis

We identify critical cases in your product.

2. Onboarding

We configure product/versions and tests on the platform.

3. Execution and Analysis

We generate cases, execute evaluations, and analyze results.

4. Report & Remediation

Priorities, correction plan, and new validation until compliance.

About Galtea

Galtea is a spin-off of the Barcelona Supercomputing Center (BSC-CNS), recognized for developing a pioneering platform in Europe to evaluate, validate, and certify generative AI solutions. Their technology, used by the main European supercomputing centers, is unique in creating large-scale synthetic datasets, allowing for the simulation of complex scenarios and accurately measuring the reliability and regulatory compliance of models before they are put into production.

Esta alianza estratégica combina la experiencia de Serquo en la integración y securización de sistemas críticos con la capacidad científica y tecnológica de Galtea, ofreciendo a nuestros clientes una solución única para desplegar IA generativa de forma segura, trazable y conforme a la regulación europea. This strategic alliance combines Serquo's experience in the integration and securitization of critical systems with Galtea's scientific and technological capability, offering our clients a unique solution to deploy generative AI securely, traceably, and in compliance with European regulation.

We validate your AI so you can put it into production with confidence

Evaluate, test, improve, and monitor your AI solutions.

We validate your AI product:

The challenge of ai validation. According to MIT, 85% of AI developments do not reach production.

Benefits for your organization

OUR METHODOLOGY

About Galtea

info@serquo.com

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