Dotting I’s in AI

AI & Data Technical Due Diligence

AI and data company deal flow is surging, yet many investment professionals lack the depth to independently evaluate ML architecture. SpaceTimeWorks offers a structured, expert-led assessment of a target company’s technical foundations, delivered in support of investment or acquisition decisions.

We deliver investor-grade AI/data technical due diligence to give investment firms the confidence to act or walk away.

Dependable Diligence

We Can Help You Scrutinize a Target Company’s Technical Foundations

To support your investment or acquisition decisions, SpaceTimeWorks delivers for you a structured, expert-led assessment of a target company’s technical foundations. The deliverables for an engagement include

  • an Executive Summary with key risks and signals
  • a Technical Assessment Report with findings, risk ratings, and recommendations
  • a Risk Register of technical risks with severity and mitigation options
  • Q&A Support via availability for follow-up calls with investment team or target company.

Optional add-on: Red-team session with target company’s technical team.

Evaluations are performed on the basis of the three core pillars and overall eight dimensions shown below.

1. Core
  • Competitive Moat
  • Team Capability
2. Value
  • Architecture Quality
  • AI / ML Validity
  • Agentic AI & LM Stack
3. Operations
  • Data infrastructure
  • MLOps and Operationalization
  • Technical Debt and Risk
Key Differentiators

Why Choose SpaceTimeWorks for Technical Due Diligence

Our foundation has more domain ML/AI expertise than generalist consultants. Major firms have strong process but AI technical depth can be thin. Opting for former operators deprives you of academic or research grounding.

SpaceTimeWorks has the entire package.

  • Topic expertise: Lean on our enterprise-level, production-grade ML/AI track foundation. Add to it our focused Generative AI Strategic Leader and AI Agent Developer certifications, plus active deployment experience. Seal the skills with our Technical Product Manager lens that enables us to assess not just architecture but also buildability, roadmap credibility, and team execution risk, too.

  • Due diligence credibility: Validated by Ph.D.-level technical depth, and ongoing active Research and Academic status (Associate Editor in peer-reviewed journal, and Industry Board member at the University of California San Diego Halicioğlu Data Science Institute.)

  • Dependable assessor: Experience in cross-industry pattern recognition earned from over-decade tenure in Enterprise Analytics.

  • Independent assessor: No vendor affiliations, no software sales; just pure advisory!