← LeaderboardsInvestigatorsiAttributed = a PI's even-split share of each grant — a $1M grant with 2 PIs counts $500K each.
Eysz, Inc.
Berkeley, CA
$3,525,767
Total funding
5
Grants
Funding over time
peak $1.7M · FY2020–25$2M$1.5M$1M$500K$0
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$2,072,614 · 3
NSF$1,453,153 · 2
By mechanism
R43$1,530,241 · 2
—$1,453,153 · 2
R44$542,373 · 1
Investigators at Eysz, 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
Not enough data
Emerging Leaders
6–10 yrs in
All-Time
Most funded here, all years
Largest grants
SBIR Phase II: Assessing comorbidities in epilepsy using eye movement recordings$1,197,153
· FY2023 · TIP
Detecting Absence Seizures Using Hyperventilation In a Home Environment$542,373
R44 · FY2025 · NR
Algorithm for the Real-Time Detection of Absence Seizures from Oculometric Data$511,154
R43 · FY2020 · NS
A Mobile Health Application to Detect Absence Seizures using Hyperventilation and Eye-Movement Recordings$499,867
R43 · FY2023 · NS
SBIR Phase I: Identifying Interictal Features of Epilepsy With Oculometric Data from a Naturalistic Setting$256,000
· FY2021 · TIP
Algorithm for the Real-Time Detection of Absence Seizures from Oculometric Data$138,041
R43 · FY2021 · NS
A Mobile Health Application to Detect Absence Seizures using Hyperventilation and Eye-Movement Recordings$137,261
R43 · FY2024 · NS
Algorithm for the Real-Time Detection of Absence Seizures from Oculometric Data$136,918
R43 · FY2021 · NS
A Mobile Health Application to Detect Absence Seizures using Hyperventilation and Eye-Movement Recordings$55,000
R43 · FY2024 · NS
Algorithm for the Real-Time Detection of Absence Seizures from Oculometric Data$52,000
R43 · FY2021 · NS