Thursday, June 5, 2008

Venturing Into Startup Life - Genome Technology

Summary:
VCs talking about current investment climate in life sciences (IPOs vs M&A) and describing investment approach and requirements. Need for big ideas, IP and strong management team. Also includes some business plan tips. (Published: 06/08)

Notes:

  • investing in life sciences has changed over last few years
    • used to be enough to have IP on a gene or a new method to form a company
    • no longer sufficient
    • venture funds trying to lessen risk in a less certain market
    • big movement away from funding academic innovation
    • funds pursuing lower risk approaches
      • eg. spin-out drugs from pharma companies
  • yet despite these changes, VCs still looking for the next great idea
    • VC capital attracted by life sciences has increased:
      • 2006: $7.6b; 2007: $9.1b
    • as long as there's an exit strategy, interest will continue
  • life sciences IPO market has been pretty bad
    • 2007(Q1): 7; 2008(Q1): 4
  • M&A market more interesting
    • pharmaceutical and medical device industries continue to acquire small companies and are paying pretty strong prices for them
    • question about how long this will continue
      • if it starts to drop of, then there's really rough times ahead for biotech industry
  • VC requirements
    • big ideas
      • not incremental approaches
      • got to really open a new way of thinking about a problem
      • risky is OK, just has to be very bold
    • intellectual property
      • idea has to be able to be covered by IP rights
      • want a technology that company can protect
      • so investors can recoup or expand upon funds put into creating the product
      • VCs can help out with protection
    • strength of management team
      • lot of energy, creativity and skill
      • some early stage VCs will set a management team up
  • VC approach
    • start
      • sources: looking at business plans, scouring literature, contacts
      • some begin with an unmet need and subsequently hunt for a technology
      • some start with thinking about the type of company they might want to invest in
    • getting going
      • from idea to point where more funding is needed: ~1.5 years
      • first step: talking science
        • learning about the science for months
        • educating oneselves, with company's help, about:
          • specifics of the technology in excruciating detail
          • company's prospects as a business
          • what company is going to require in order to be succesful
      • building financial model
        • tries to take needs and future plans of the potential customers into account (e.g. pharmaceutical or medical device companies)
        • helps investors assess how much funding the company will need
      • molding the mission of the company
        • taking scope of the whole field, especially competitors
        • company should ideally have a lot of different projects going on that are independent to spread the risk
          • need to think big about the opporunity
      • people
        • VC will find CEO and others to run the company
        • investors become members of the board
        • match-making and recruiting people to run the company
  • business plan best practices
    • being bold
      • need to think big; academics often think too small
      • has to be a big thing
      • cannot be incremental
    • assembling the best minds
      • big names in management section, if possible
      • big impact on investors if the leading people in the world are somehow involved
    • thinking broadly
      • take in full scope when describing market and competitive environment
      • many startup don't understand the full range of competitors
        • place yourself in shoes of potential customers:
          • what would they want and where else can they go to fulfill that need
      • don't define competition too narrowly
    • being realistic
      • when comparing company with other succesful companies, don't focus solely on the exceptional successes
      • people need to understand what is more likely the average outcome for a company
      • build a model based on hitting the average outcome as opposed to hitting the exceptional outcome