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AI projects

Applied AI with proprietary data, models and measurable efficiency gains.

AI opportunities on OBC focus on applied use-cases where proprietary data, distribution and workflow depth create a defensible moat — not pure research bets.

See live ai projects projects How the process works
Every deal is adjustable

Ticket size, term, exit mechanics and reporting are all shaped in the specialist conversation we have with you. What you see here is our default posture per sector — the final terms are tailored to your strategy call and the deal-qualification call before you commit.

What we focus on

  • Vertical AI copilots and agents
  • AI-native workflow platforms
  • Data and model infrastructure
  • Enterprise automation and RPA-AI hybrids

How deals are structured

  • Equity SPV with pro-rata rights where possible
  • Milestone-linked tranches for early-stage bets
  • Standard preferred-share protections
  • Escrow release only after share issuance

The process, step by step

The same 4 stages apply to every ai projects deal — with escrow release only after shares are transferred to investors.

Step 1
Sourcing

Founders with domain depth and enterprise pipeline.

Step 2
Diligence

Technical, data-rights, and commercial traction review.

Step 3
Structuring

SPV structured next to lead / co-lead investor.

Step 4
Deployment

Funds released from escrow at closing.

Key risks to consider

No investment is risk-free. These are the primary risk categories we assess for ai projects deals.

  • Model / data commoditization
  • Rapid tech shifts
  • Regulatory AI oversight
Browse ai projects projects Read our risk methodology