Feedback Summary14 March 2024
NILG.AI went above and beyond to deliver the tasks and meet the agreed-upon deadlines. The team demonstrated a remarkable independent approach, requiring little to no guidance from the client. Ultimately, the latter was pleased with the engagement.
A medicaltech company hired NILG.AI to develop an AI tool for assessing image quality defects and providing live feedback. NILG.AI also created a diagnostic AI test that ran on neural network architectures.
Reviewer CEO & CTO, DL Analytics
I am the CEO and CTO of DL Analytics
We develop AI diagnostics that run on a phone for cervical cancer screening
Build an AI tool that assesses image quality defects and provide live feedback to user Build a diagnostic test that meets tight predefined specs
Pricing fits our budget Great culture fit Good value for cost Company values aligned They have unique expertise in the space that others don't Build an AI tool that assesses the presence / absence of 7 common defects of cervical images seen on the video feed of a phone. Compare the performance of a diagnostic AI classifier running on different neural network architectures, and make sure the performance meetspredefined spec. Knew them from previous work together Pricing fits our budget Great culture fit Good value for cost Company values aligned They have unique expertise in the space that others don't Build an AI tool that assesses the presence / absence of 7 common defects of cervical images seen on the video feed of a phone. Compare the performance of a diagnostic AI classifier running on different neural network architectures, and make sure the performance meetspredefined spec.
Pricing fits our budget Great culture fit Good value for cost Company values aligned They have unique expertise in the space that others don't Build an AI tool that assesses the presence / absence of 7 common defects of cervical images seen on the video feed of a phone. Compare the performance of a diagnostic AI classifier running on different neural network architectures, and make sure the performance meetspredefined spec.
Build an AI tool that assesses the presence / absence of 7 common defects of cervical images seen on the video feed of a phone. Compare the performance of a diagnostic AI classifier running on different neural network architectures, and make sure the performance meetspredefined spec. 2-5 Employees Build an AI tool that assesses the presence / absence of 7 common defects of cervical images seen on the video feed of a phone. Compare the performance of a diagnostic AI classifier running on different neural network architectures, and make sure the performance meetspredefined spec.
Build an AI tool that assesses the presence / absence of 7 common defects of cervical images seen on the video feed of a phone. Compare the performance of a diagnostic AI classifier running on different neural network architectures, and make sure the performance meetspredefined spec. There were 2 goals to the project: Build an AI tool that assesses the presence / absence of 7 common defects of cervical images seen on the video feed of a phone. Compare the performance of a diagnostic AI classifier running on different neural network architectures, and make sure the performance meetspredefined spec.
ROC curves for different parameters being detected runtime on different phone models ROC (AUC and shape) NPV PR AUC Dice score Developing image quality assessment tool: ROC curves for different parameters being detected runtime on different phone models ROC (AUC and shape) NPV PR AUC Dice score Comparing neural network architectures: ROC (AUC and shape) NPV PR AUC Dice score
They were great. Worked hard to get things done in time. Didn't ask me to help too much and were independent
Virtual Meeting
How little I had to onboard them
No