Manot

Toni Kutch

good app congratulations

10 months ago

Esteban Hilpert

Congrats on the launch!

10 months ago

Jaiden Runolfsson

🤙 Hey there Product Hunters! I’m Haig, co-founder and CPO of Manot. Let’s talk about the life of a product manager in AI 🌍💻. For the past 5 years, I’ve had one goal: ensure each AI product (and thus the underlying model) is not just good, but great for our customers. But here’s the thing, time and time again the models prove to be unpredictable. Every time a model performed poorly or failed, it was back to the whiteboard with the engineering team ✏️. Imagine this process: we detected a problem, reported the problem, wait for a fix, and hold our breath while we hope it works. Then we repeat this process again, and again, and again. It was a never-ending, lengthy feedback loop 👎 That is why Manot is so personal to us. It solves a problem we saw, hated, and did not conquer 🦦. By proactively addressing AI model performance in production, along with a more automated model evaluation and data curation pipeline, we are inherently solving the feedback loop problem. Excited to hear your thoughts and dive into discussions! - Haig

11 months ago

Gaylord Buckridge

Congrats on the product launch, @chinar and team! Quick question, how does Manot handle data security and privacy, especially considering it deals with sensitive data?

1 year ago

Rupert Emmerich

👍

1 year ago

Mortimer Powlowski

Kudos on the launch! Curious to know, how does Manot adapt to different types of computer vision models? Is it equally effective for, say, object detection as it is for facial recognition?

1 year ago

Ruben McClure

Amazing @chinarmovsisyan!

1 year ago

Scotty Feest

👋 Hi Product Hunt! I’m Chinar, co-founder and CEO of Manot. Grab an ice cream, sit back, relax, and let me take you on our adventure! 🍦🚀 It all began back when I was a computer vision (CV) engineer working on cool projects from surveillance to high-tech drones. But here’s the catch - our AI models were awesome in development but not so awesome in the real world 🙈. I saw models with 95% accuracy during testing begin to fail in production, which causes unhappy customers and a lengthy feedback loop between product managers and CV engineers. So, myself and a few talented friends rolled up our sleeves and got to work. After endless cups of coffee ☕, along with some laughs and cries… Manot was born. We were on a mission - to make CV models smarter before and after being in the real world! 🤓 And guess what? Our little mission got some love! We raised a pre-seed round with the amazing people at Argonautic Ventures, Berkeley SkyDeck, and SmartGateVC 💜. Being the detectives we are 🕵️🕵️, we talked to over 200 product managers, CV engineers, and data scientists to make sure this problem was felt everywhere. And the response? Mind-blowing 🤯! We’ve got our MVP into the hands of pilot customers, including two Fortune 500 companies! Here is a quick glimpse into how it works 💻: We developed a scoring algorithm that takes the inference results on a given model’s test dataset, and spits out predictions about the model’s blind spots 🧠. We offer on-premise or cloud solutions along with access to our 5 billion image data lake and generative AI modules. For a deeper dive into our tech, see Erik’s comment below! Now, here’s the cherry top 🍒: Manot now has a free tier! We’re throwing open the doors so everyone can play with Manot. This isn’t just about growing the platform; it’s about learning from you. So ask questions, reach out, and let’s make something amazing together! Thank you for being a part of this adventure - your support, feedback, and ideas are what keep us going 🚀💜 Cheers, Chinar

1 year ago

Daren Bruen

So excited about this!! Amazing work team Manot!

1 year ago

Esteban Hilpert

Nice

1 year ago

Haleigh Bartoletti

Love continuous feedback loop between pre and post production environments and key stakeholders. Having this process automated streamlines collection of key model behavior quality metrics in production and allows model developers to make faster changes to their ML algorithms based on empirical data in production

1 year ago

Garland Grady

Congrats on the launch, Manot team. You are tackling a real problem. I wanted to ask how reliable is your algorithm? How sure are the results for false positives and false negatives?

1 year ago

Hobart Glover

@chinarmovsisyan : Congrats on the launch team, the product looks amazing.

1 year ago

Reilly Thiel

Great progress Chinar and team!

1 year ago

Odell Bode

How do product managers benefit from the Manot platform?

1 year ago