Mindkosh AI

We have already been contacted by a couple of enterprise customers asking for demos, and we didn't even have the tool ready! We still hacked together something to show them and they were happy! So we kept on working hard, and finally after an endless debugging process, we are releasing our public beta! Signup for free at https://app.mindkosh.com/auth/register

My previous workplace! Had been in conversation with them for months asking if they would like to partner with us. They kept saying they did not want to switch from their current vendor. Kept sending emails, and finally they obliged! We are starting with a smallish project to test the waters. Hopefully there is much more to come!

Got introduced to the client via a friend who worked there. Took almost 3 months to get everything in order and sign the contract. The client will keep dropping work as they have different departments in need of our service. Now sweating about getting the work done smoothly as there are penalties in the contract for failing to meet the SLA.

We started a newsletter on AI/ML, structured more like a magazine. We wanted people to see us as a content creator in AI rather than just a startup fishing for emails. After 3 months of intense slogging, we have 100 subscribers! Our newsletters have been viewed over 500 times over these past 3 months. In addition, the newsletter signup page is getting us lots of visitors.

One full time team member and two interns! Took us around 3 months to do everything. Showed the prototype to a couple of prospective clients. This is an enterprise software so not sure if putting out a demo online is the right thing to do, as we have quite a few things left to figure out.

I moved back to my home country after almost 7 years living abroad in Japan and US, with the desire to be closer to my family and do something that can actually impact the AI industry. After spending almost a year researching a new Voice cloning technology, I decided it was time to move on, as the tech was simply not financially viable (how silly was that!).

While working as a Machine Learning Engineer, I had realised how important Data quality was for ML systems and yet very little attention was being paid to this dirty work. So I decided to work towards bringing some change through robust Data labeling and curation tools and an annotation service that works more like a ML consultant than just a tagging machine.