AI Diligence
- AI & MLOps Engineering
- AI Stack Due Diligence Audit
- AI Team & Project Management
AI in Innovation
AI technologies have become a main asset for innovative companies, especially when considering investments. The multiplication of actors raises questions on their differentiation and competitiveness.
Technical Due Diligence
Our AI due diligence services provide a comprehensive evaluation of a company's technological foundation, enhancing traditional due diligence efforts.
AI Expertise
We ensure your investment is not only based on potential but grounded in a robust technological infrastructure. We provide precise technology recommendations.
Insights
Our services empower you with actionable insights, ensuring investments and technological choices are aligned with current industry standards and future advancements.
Key Focus Areas in Our AI Due Diligence
Eight angles of assessment, from product readiness to licensing economics and sector-specific regulatory exposure.
Product Viability
Is the product market-ready or just a demo? Can it be sold as is, and what is its scalability potential?
Model and Data Integrity
Scrutinizing the robustness of models, data sources, and IP. Evaluating technical reproducibility, beyond legal protections.
Technology Longevity and Defendability
Assessing the long-term viability of the technology. Identifying data sources and model performances against the state of the art.
Team and Expertise
Assessing the team's balance, diversity, and dependence on key individuals.
Technical Implementation
Examining code quality, containerisation and test coverage. Ensuring documentation, version control, and sustainability.
Licensing and Scalability
Evaluating the technology licensing model. Projecting how costs will scale with operational growth.
Costs and Performances
Examining technical choices and avoidable latencies, challenging architectures and technologies, both custom-made and off-the-shelf.
Industry-specific Considerations
For healthcare, sovereignty, medical devices and other regulated fields, identifying the risks associated with the technologies in the stack — current and future, from a technical standpoint.
More from our AI expertise
Improve your AI projects
Leverage on our experience to improve:
- Cloud or self-hosting running costs
- Model inference responsiveness
- Code base quality
- Model efficiency
- Prompt engineering
- Model benchmarking
- Projects architecture
- Scalability
And more — get in touch for a demonstration on your own use cases.
About
Founder
Paul Asquin
Experienced as Head of AI in vision and language processing, CTO of Guardia and AI freelancer, I graduated from Centrale Paris and hold two MScs: one in AI and computer science, the other in robotics.
I created AI Diligence in 2023 to offer my expertise and network.