The problem
OceanDeep AI had built a technically strong product in a market with no established playbook. The founding team had deep domain expertise and a clear product vision. What they did not have was a commercial model, a route to market, or an investor narrative that translated the technology into a fundable business case. Without those foundations, the product could not gain traction and the pre-seed round could not be positioned credibly.
The solution
Four workstreams:
1. Market Discovery — Primary and secondary research to map the addressable market, identify the highest-value segments, and validate where the product had the strongest commercial case. The discovery defined the ICP and gave the team a clear view of where to focus first.
2. Positioning and Narrative — A commercial positioning built around the specific outcomes OceanDeep AI delivers, not the technology behind it. Translated into language that worked for both enterprise buyers and investors.
3. Revenue Model and GTM Strategy — A commercial model designed for the realities of a deep tech sales cycle: pilot-led, partnership-driven, with a clear path from first engagement to recurring revenue.
4. Investor Narrative — A pre-seed story built on the commercial foundations, not the product roadmap. Positioned the business for £1.5M in pre-seed funding with a clear thesis investors could underwrite.
The outcome
£400k in pilots and partnerships secured within nine months of engagement. The investor narrative positioned the business for a £1.5M pre-seed round. The commercial foundations built during the engagement became the basis for both the go-to-market motion and the investor story.
What this demonstrates
The gap between a strong AI product and a commercially viable AI business is almost never technical. It is positioning, go-to-market, and revenue model. Commercial strategy that creates enterprise value, not just revenue.