Preparing Innovation for Scale
Syllable Life Sciences
SUMMARY
Syllable Life had successfully innovated an ML-powered approach in the drug development space with revolutionary potential.
To bring this innovation to the real world, they needed a strategy for scalability.
Syllable engaged Hop for our expertise in building production-grade machine-learning systems.
Hop’s technical audit and process review resulted in a solution that Syllable was able to integrate directly into their infrastructure.
THE COMPANY
Syllable Life is an innovative life sciences company founded by scientists carefully selected from Harvard, MIT, Google Brain and Novartis. They have harnessed computer vision and machine learning techniques to create behavioral insights that improve drug candidate selection, clinical trial productivity and patient care.
Together with the NIH, they’ve begun to revolutionize the preclinical pipeline for neuropsychiatric and neurodegenerative drug development.
THE CHALLENGE
Once they had successfully proven their technique’s feasibility, Syllable Life needed to demonstrate that their hand-crafted approach could meaningfully scale to real-world volume.
To make a commercial impact, they needed to find an approach ready for the real world.
“Hop delivered a solid product, and worked collaboratively and successfully with our team.”
THE SOLUTION
Hop’s expertise in building production-grade machine learning systems was the answer.
An in-depth technical audit and process review let Hop narrow in on specific changes to Syllable Life’s process where improvements could have the highest impact to their scalability and architecture.
Hop’s collaborative culture enabled rapid progress with the Syllable Life team to deliver a thoroughly documented and supported solution that was able to be directly integrated into their infrastructure.
Need a strategy for scaling your innovation? Contact us to learn how Hop can help.