The innovation team of a fortune 500 life science company was running a long term co-innovation program to learn from and collaborate with technology startups in Asia.

The Asian startup ecosystem is highly fragmented and opaque. This makes it difficult to identify high potential startups before they scale. This is particularly true in fields like neuromorphic computing, where teams may reside in an R&D phase for years before reaching the market. In order to engage early-stage startups in solution collaboration, the innovation team needed to find entrepreneurs early. They next needed to convince the founding team of the value of collaboration despite differences in working approaches and timelines. Focus domains were varied, and included digital therapeutics, AI tools for drug discovery, cell and gene therapy tools, process simulation algorithms, and wearable devices to support recovery, among others.

• Develop a long list of relevant startups for each innovation domain in scope.
• Conduct an initial fitness assessment and prioritize startups via desktop research.
• Speak with startup founders of shortlisted companies to gather non-public data and assess interest.
• Invite select startups to participate in the program and address their questions.

• We have successfully supported the client’s innovation team to meet the expectations of their internal clients (the company’s business units) by identifying highly relevant startup collaborators for four years (and running).
• Multiple collaborations have yielded tangible results for both our client and their startup partners, including the adoption of startup technologies to improve internal R&D processes and the joint development of new offerings for the market.