Your machine learning stack is not complete without All Vision. Our tool finds and tracks new data patterns for you and is built for your existing ML stack.
Thanks for Hunting this @katie_kuzin , If anyone is interested in looking at how we are upgrading unsupervised learning under the hood feel free to check out our technical white paper at : https://b25c15fa-312b-4cd5-915b-...
@katie_kuzin@chetan_velivela
Very neat white paper! Your product definitely is a valuable, powerful tool for any data-heavy enterprise. I’m looking forward to seeing the applications in a broad range of industries.
Hello PH community! I’m Katie 👋 the first hire and product lead at All Vision Tech.
I’m exited to announce our company’s commercial debut. A year ago, our data science team brainstormed and delivered a solution for the US Space Force. We learned how powerful (and underused) unsupervised learning is, and thought about how it could have solved past problems we’d faced at work.
The problem we’re solving: Supervised ML has major blindspots when it comes to dealing with a changing world. We help because we can detect new patterns in data which is necessary when dealing with fraud, predictive modeling, changing macroeconomic conditions, and rule optimization.
So, what can you expect?
1. We’ll alert you within 24 hours when there has been a fundamental change in the makeup of the data coming into your models.
2. Our anomaly detection is best-in-class. We R&D-ed and integrated our own method of ensembling multiple unsupervised ML models together to improve anomaly identification by 35% over single model anomaly detection.
3. Our tool finds patterns in your data without needing data to be fully (or perfectly) labeled.
You can check out the free version of our tool starting now https://www.all.vision/ - I’d love to hear what you think and look forward to your feedback! 🥳
Katie
Very interesting product--data integrity always seems to be the crux, so solving for patterns with partially or imperfectly labeled data addresses a major pain point. Very cool!
All Vision
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