Tech Due Diligence
Expert AI assessment backed by years of experience in building and evaluating production AI systems
With extensive experience in evaluating AI companies and systems, I provide thorough assessments of AI capabilities. From machine learning models to production deployments, I help identify technical strengths, improvement areas, and potential risks.
Having built and deployed multiple large-scale AI systems, I understand what makes AI projects succeed in production environments.
Tailored to Your Needs
My due diligence process is fully customizable to match your specific requirements and timeline. Whether you need a quick assessment or an in-depth analysis, I adapt my approach to deliver maximum value.
- Quick scans available within days
- Comprehensive deep-dives for thorough analysis
Select the assessment areas that matter most to you. My modular approach allows you to focus on specific aspects of your AI technology stack while maintaining a holistic view.
- Flexible scope and depth
- Customized reporting format
Technology and IP
- Tech stack evaluation: scalability, adaptability, and robustness
- Code repository analysis and version control practices
- IP ownership, licensing, and open-source dependency review
AI Capabilities
- Model performance, robustness, and explainability assessment
- MLOps maturity and automation assessment
- Production model monitoring and retraining pipelines
MLOps & Engineering Best Practices
- CI/CD pipelines for ML model deployment
- Model versioning and experiment tracking
- Infrastructure scalability and cost optimization
Data Management and Security
- Data collection, labeling, and preprocessing quality
- Database architecture and security measures
- No legal assesment, but it entails AI and privacy compliance risks.
Team and Organization
- Team composition and expertise evaluation
- Development practices and knowledge sharing
- Innovation capacity and R&D pipeline assessment
Strategy & Innovation
- AI roadmap and technology adoption strategy
- Market positioning and competitive analysis
- Business model and monetization assessment
Individual Model Assessment
Each machine learning model in your system is evaluated individually to understand its strengths, limitations, and potential areas for improvement. This detailed analysis helps identify specific optimization opportunities for each model.
Key Assessment Areas
- Model Documentation
Documentation quality, version history, limitations
- Data Quality
Data cleanliness, labeling accuracy, drift monitoring
- Model Performance
Accuracy, stability, latency, monitoring coverage
Evaluation Areas
- Training Pipeline
Automation, experiment tracking, validation
- Production Monitoring
Logging, alerting, performance tracking
- Ethics & Bias
Bias monitoring, fairness testing, transparency
Assessment Outcomes
Each model evaluation provides:
- Detailed performance analysis
- Current vs target performance metrics
- Identified improvement areas
- Risk assessment and mitigation steps
Assessment Checklist
- Team size and composition analysis
- Production model inventory
- Code repository analysis
- Technology stack evaluation
- Database architecture review
- Technical team interviews
- Model monitoring assessment
- Data access and security review
Ready to Assess Your AI Technology?
Get expert insights into your AI capabilities and potential
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Dr. Maarten Sukel
Founder of The AI Factory
Ph.D. in Multimodal Machine Learning from the University of Amsterdam
With extensive experience in AI and machine learning, Dr. Sukel specializes in developing practical AI solutions that drive real business value. His academic background and industry experience bridge the gap between cutting-edge research and practical applications.
Having led numerous successful AI implementations and advised organizations on their AI strategy, he brings both technical expertise and strategic insight to every project.
People I've Worked With
What they say about working together on AI projects
Danny De Jonge
Head of Department Methods and Cost Expertise
Rijkswaterstaat
Maarten gave a very engaging presentation on the fundamentals of AI and the opportunities and possibilities AI offers for Rijkswaterstaat. The audience found it very interesting and it certainly lowered the threshold for them to start working with it themselves.
Robert Glebbeek
CEO
Goudappel
During our management days, where we discussed the impact of digital transformation on our work, employees, and customers, Maarten provided us with a realistic view and expectation about AI and digitalization. Maarten brings insights and experience that answer your questions, especially regarding where we stand in this transition and where it could lead! Thanks again for the session!
Michael Radvany
CEO & Founder
Spectrum Intelligence
Highly Recommend AI Factory: My experience working alongside Maarten leaves me with no doubt that any entity partnering with AI Factory will reap significant benefits. They can expect not only cutting-edge solutions but also an approach centered on ethics and fostering a diverse and inclusive environment.
Frequently Asked Questions
What is AI Tech Due Diligence?
AI Tech Due Diligence is a comprehensive technical assessment of an organization's artificial intelligence systems, models, and infrastructure. It evaluates the technical quality, scalability, risks, and business value of AI implementations. This process helps stakeholders make informed decisions about AI investments, acquisitions, or partnerships.
How long does an AI Due Diligence assessment take?
The duration varies based on the scope and complexity of the AI systems being evaluated. A quick technical scan can be completed in 1-2 days, while a comprehensive deep-dive assessment typically takes several weeks. I adapt the assessment timeline to match your specific requirements.
When should you conduct AI Due Diligence?
AI Due Diligence is crucial before:
- Investing in or acquiring an AI company
- Implementing new AI systems
- Scaling existing AI solutions
- Evaluating AI vendors or partners
- Major AI infrastructure upgrades
It's also valuable for regular assessment of existing AI systems.
How much does AI Due Diligence cost?
The cost varies based on the scope, complexity, and depth of the assessment needed. We offer flexible pricing models ranging from quick technical scans to comprehensive evaluations. Contact us for a customized quote based on your specific requirements.
What deliverables can I expect from AI Due Diligence?
The deliverables can be tailored to your needs, but typically include a comprehensive written report detailing the assessment findings. This covers technical evaluation, risk analysis, and specific recommendations. I also offer verbal summaries and presentations of the findings.