Computer Vision Technical Due Diligence

Before investing in a computer vision startup, you need to validate their AI claims. Is their model really 99% accurate? Can it scale? We provide independent verification.

What We Validate in CV Companies

Critical areas we assess for investors:

  • 🎯 Model accuracy claims vs. real performance
  • 📈 Scalability of the computer vision pipeline
  • 🧠 Uniqueness of IP vs. off-the-shelf models
  • âš¡ Inference speed and deployment readiness

The Dhakma Method: Your Independent Technology Auditors

We provide a rigorous, independent technical due diligence process that uncovers the risks and opportunities you need to know about before you sign the deal.

1

Code & Architecture Review

We conduct a deep-dive review of the target company's codebase, architecture, and infrastructure. We assess code quality, scalability, security, and technical debt.

2

Team & Process Evaluation

We evaluate the strength of the engineering team, their development processes, and their ability to execute on the product roadmap. We identify key person dependencies and other organizational risks.

3

Comprehensive Risk Report

We deliver a detailed, confidential report outlining our findings, including a clear-eyed assessment of the technology's strengths, weaknesses, and potential risks. We provide the data you need to make an informed decision.

Invest with Confidence

Our Technical Due Diligence engagement provides the clarity and confidence you need to proceed with your investment or acquisition. Contact us to discuss your specific needs.

Request a Confidential Consultation