Why we're here and
How it all started
It was 2018, Puneet (Co-founder & CEO, Labellerr) who spent 7 years leading ML teams in various large enterprises looking for reasons for low AI adoption rate, read an article in Gartner about the global statistics of 80% failure rate of AI project.
He couldn't stopped thinking around it and while discussing with folks in the ML community he found that the report resonates with most expert as well. More discussions suggested that data preparation is THE bottleneck in overall computer vision AI workflow, as it is most time consuming, manual and expensive component. Most ML leaders stated that "high dependency" on human-in-the-loop is the key factor for killing the project, .
After this insight he and few team members built a technology to bring automation in every stage in computer vision workflow, and called it "Smart feedback loop".At first, we shared it with the community and run several iteration to perfect it. In 12 months it got its first enterprise customers and then very quickly few more.
Now, we're working on solving problems of enterprise ML teams from automotive, medical imaging and manufacturing by providing a platform on which they can collaborate, ensure data quality and reduce project timeline. If you're solving computer vision problem and working in any of above mention industry, we would love to hear from you.
