← LeaderboardsInvestigatorsiAttributed = a PI's even-split share of each grant — a $1M grant with 2 PIs counts $500K each.
Springbok, Inc.
Charlottesville, VA
$2,945,805
Total funding
4
Grants
Funding over time
peak $891.9K · FY2014–24$1M$750K$500K$250K$0
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
Funding mix
By agency
NIH$1,948,238 · 2
NSF$997,567 · 2
By mechanism
R44$1,688,625 · 1
—$997,567 · 2
R41$259,613 · 1
Investigators at Springbok, Inc.
InvestigatorsiAttributed = a PI's even-split share of each grant — a $1M grant with 2 PIs counts $500K each.
Exposure= the full size of every grant they're on ($1M each).
Rising Stars
First grant in the last 5 yrs
Emerging Leaders
6–10 yrs in
Not enough data
All-Time
Most funded here, all years
Largest grants
Clinical evaluation of a commercially viable machine learning algorithm to automatically detect shoulder muscle pathology$891,877
R44 · FY2023 · AR
Clinical evaluation of a commercially viable machine learning algorithm to automatically detect shoulder muscle pathology$796,748
R44 · FY2024 · AR
SBIR Phase II: A Non-invasive Image-based Skeletal Muscle Analytics Tool$747,567
· FY2016 · TIP
STTR Phase I: A Non-invasive Image‐based Skeletal Muscle Analytics Tool$250,000
· FY2014 · TIP
Development of a commercially viable machine learning product to automatically detect rotator cuff muscle pathology$208,204
R41 · FY2021 · AR
Development of a commercially viable machine learning product to automatically detect rotator cuff muscle pathology$51,409
R41 · FY2022 · AR