LLM Evaluation & Observability Development

Scale from experimental prototypes to production-grade AI with a rigorous evaluation and observability framework that ensures accuracy, safety, and cost-efficiency through real-time monitoring and automated quality gates.

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Development of custom AI solutions by our AI experts

Proven track record in helping businesses automate tasks with AI

"With DataNorth’s results-oriented approach, we have achieved advanced AI integration in a short time."

Hielke de Jong

Managing Partner @ EntrD

Highly Educated AI Experts

DataNorth has over 9 years of experience in the field of AI with Experts with at least a BSc. in AI.

Continuous support

Our team stays in constant contact throughout every project phase, ensuring you’re informed and involved at every step of the process.

Tailored solutions

AI solutions tailored specifically to your business goals, ensuring alignment with your strategic vision.

Experts in building AI Solutions

Implementing AI in your business can significantly improve efficiency, decision-making, and customer experiences. AI can operate 24/7 ensuring uninterrupted services, enhancing customer satisfaction and operational efficiency.

Here's Nick, one of our AI experts, he's ready to help you implement possible AI solutions.

Curious how we can help you?

Get in touch with us today.

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Solutions build to last

100% future-proof AI solutions by AI Experts

Seamless Integration

Our framework integrates directly with your existing LLM orchestration and CI/CD pipelines to automate quality gates and performance tracking without disrupting developer workflows.

End-to-End Visibility.

From monitoring complex backend retrieval steps to analyzing frontend user feedback, we provide a full-stack observability solution that captures every trace of the AI lifecycle.

Transparent Evaluation.

We provide clear, data-driven insights into how your models make decisions, utilizing "LLM-as-a-Judge" rubrics and open-source metrics to build total trust in your AI outputs.

Privacy-First Security.

Our observability stack prioritizes data integrity through real-time PII redaction and strict encryption, ensuring your proprietary prompts and customer data remain secure and compliant.

Security & Compliance

ISO 27001 & 9001 Compliance

We rigorously follow ISO 27001 and 9001 standards, ensuring robust information security and quality management processes across all operations.

Privacy Regulation Compliance

Our practices align with international privacy regulations, including GDPR and the Data Processing Agreement, safeguarding your data privacy.

Advanced Data Security

All data traffic is encrypted using SSL. Our solutions always use the latest and strongest encryption standards to protect your information from unauthorized access.

Microsoft Azure in Europe

Our services are hosted on Microsoft Azure, with servers located in the European Union. U.S. hosting is available upon request, providing flexibility and compliance with regional data protection laws.

Get Your LLM Evaluation & Observability Development

Elevate your AI deployment with a rigorous evaluation and observability framework designed to eliminate hallucinations, optimize token spend, and ensure production-grade reliability at any scale.

Custom Quote

Also available in the USA

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Reliable AI through seamless framework integration.

Custom LLM Evaluation & Observability Development

Implementation support in current environment/tools

Experienced AI Experts at €150 per hour, fixed fees / no hidden costs

Let's have a talk!

We love to explain more about DataNorth AI via a short phone call. Leave your contact details in the contact form and we will get in touch with you!

Menno Fokkema

Founder & CEO

You can reach us during 9 AM - 5 PM (CEST timezone) on our phone number +31 (0)50 211 2304.

Frequently Asked Questions

What is the difference between LLM Evaluation and Observability?

Evaluation is a pre-deployment process used to test a model’s performance against a static “Golden Dataset.” Observability is the ongoing monitoring of live production traffic to detect real-time issues like latency spikes, cost overruns, or model drift.

Why is "Tracing" important for LLM observability?

Since LLM applications often involve multiple steps (retrieval, prompt augmentation, and generation), Tracing allows you to see exactly where a failure occurred. It maps the full lifecycle of a single request so you can debug “broken” responses instantly.

What are LLM "Guardrails"?

Guardrails are real-time safety layers that sit between the user and the model. They automatically filter out Personally Identifiable Information (PII), block toxic language, and prevent “jailbreak” attempts that try to bypass the model’s safety instructions.

How can I control LLM costs in production?

Implement observability tools to track Token Usage per user or per feature. You can also set up Rate Limiting and Caching (storing common answers) to prevent redundant, expensive calls to the model provider.

Do you have alternative AI Development services?

We have! Besides LLM Evaluation & Observability Development we also offer

LLM Evaluation & Observability Development

"With DataNorth’s results-oriented approach, we have achieved advanced AI integration in a short time."

Highly Educated AI Experts

Continuous support

Tailored solutions

Experts in building AI Solutions

Curious how we can help you?

Get in touch with us today.

Solutions build to last

100% future-proof AI solutions by AI Experts

Seamless Integration

End-to-End Visibility.

Transparent Evaluation.

Privacy-First Security.

Security & Compliance

Get Your LLM Evaluation & Observability Development

Custom LLM Evaluation & Observability Development

Offset Your AI's CO2 Footprint

Let's have a talk!

Frequently Asked Questions

What is the difference between LLM Evaluation and Observability?

Why is "Tracing" important for LLM observability?

What are LLM "Guardrails"?

How can I control LLM costs in production?

Do you have alternative AI Development services?