Many Biotech and Life Science companies experience similar problems transitioning from the "exploration" phase to the production phase of their business.

Do any of these problems sound familiar?

  Scientists love data, but they're not great at managing it (storing, moving, integrating, connecting)
  The volume and complexity of data rapidly increases with business volume. The scientists eyes are bleeding from Excel.
  As business volumes increase, so does the level of automated equipment to support it.
Each piece of equipment has it's own means for importing, processing, and exporting data.
  Many companies need to make the transition from flexible exploratory experimentation to more disciplined execution of Standard Operating Procedures (SOPs), with quality control feedback.
  Many early/mid stage companies don't have IT staff that have been through the production ramp from low volume, to higher volume.
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