Inspeq AI's Performance and Benchmarks

We are incredibly proud that our benchmarks have undergone extensive testing, enabling us to showcase their real-time response capabilities. With input from industry experts and academic professionals, we've focused on optimising both speed and accuracy. In the world of AI-powered applications, achieving low latency while maintaining high precision is crucial for delivering smooth and reliable user experiences.

As Artificial Intelligence (AI) becomes deeply integrated into business operations, building trust in AI systems is more critical than ever. At Inspeq, transparency is at the heart of everything we do. Our proprietary AI solution is designed to deliver safe, reliable, and compliant models without relying on LLM, ensuring fairer and more effective AI systems.

Our approach offers key advantages:

1. No Additional Evaluation Bias: We reduce subjective bias in performance evaluations by eliminating LLM-based assessments.
2. Cost-effective: Our solution does not require expensive GPU allocations, making it scalable and efficient for businesses.
3. Highly Accurate: The benchmarking results demonstrate our superior performance across key metrics like relevancy, factual consistency, security, and toxicity detection.
   
   

1. Benchmarking Results: Performance Highlights:

Here’s a breakdown of how Inspeq compares against industry-leading models across key metrics. The results reflect answer accuracy, factual consistency, security, and toxicity management.

1.1 Answer Relevancy

We evaluated answer relevancy using the RAG-Dataset-1200, measuring how well models generate precise and meaningful responses for business-critical applications. Inspeq achieved 94% accuracy, delivering reliable outputs for chatbots and virtual assistants.

1.2 Factual Consistency

We evaluated factual consistency using the FEVER dataset, ensuring models provide accurate outputs—especially critical for healthcare and finance applications. Inspeq achieved 78% consistency, outperforming competitors.

1.3 Security & Prompt Injection Resistance

Deep Set tested our solution's resistance to prompt injection attacks with the Prompt Injection Dataset. Inspeq demonstrated 85% resistance, securing critical operations against adversarial attacks and unauthorised manipulations.

1.2 Toxicity Detection

We manage toxicity with 95% accuracy, ensuring ethical outputs across public-facing applications. The Combined Toxicity and Profanity v2 dataset was used to evaluate our models in detecting harmful language.

2. Why Responsible AI Matters:

The benchmarks above underscore Inspeq’s commitment to responsible AI development. Responsible AI practices are crucial to:

• Maintaining customer trust: Reliable AI outputs foster confidence among users.
• Ensuring compliance: With regulations like the EU AI Act, organizations must meet high standards of transparency, accountability, and security.
• Mitigating risks: Avoiding biased, harmful, or incorrect outputs protects both businesses and end users.

3. Aligning with the EU AI Act

The EU AI Act, which took effect in 2024, sets a high bar for AI governance, risk management, and compliance (GRC). Inspeq’s solutions align seamlessly with these requirements by:

• Providing real-time AI monitoring for transparency and accountability.
• Detecting and mitigating biases in high-risk AI models.
• Offering compliance automation to help businesses meet regulatory demands without added complexity.

With Inspeq, companies can focus on growth and innovation while ensuring their AI systems comply with the latest standards.

Conclusion:

As the Co-founder and CTO of Inspeq, I believe that trust is built through transparency, accountability, and performance. Our benchmarking efforts demonstrate how we measure up against industry leaders, giving customers and investors the confidence they need in our solutions. We continuously collaborate with our customers and researchers to enhance our product, ensuring it meets evolving market needs and delivers lasting value.

With our AI-GRC platform, businesses can deploy safe, compliant, and high-performing AI models that align with both regulatory standards and user expectations.

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Stay ahead of the curve with Inspeq—because responsible AI is not just a requirement; it’s the future.