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Lamina

Lamina

Artificial Intelligence as an API 🤖

3 followers

Artificial Intelligence as an API 🤖

3 followers

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Unified API
•
Predictive AI
•
AI Infrastructure Tools
Lamina helps you integrate Deep Learning models like Sentiment Analysis and Entity Extraction into your products with a simple API call. Relieving you of getting data, creating a model and training them which would be compute-intensive.
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Company Info
lamina.xyz
Lamina Info
Launched in 2018View 1 launch
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p/lamina
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Launch tags:
API•Developer Tools•Artificial Intelligence
Launch Team
Yan Chummar

What do you think? …

Yan Chummar
Yan Chummar
Minutes

Minutes

Maker
👋 Hey ProductHunt! I've been working on Lamina for the past couple of months and so excited to finally launch it on PH! 💡 I came up with the idea of a Deep Learning as a Service product when I needed a sentiment analysis api for a project and thought of creating such an on-demand api myself. 👨‍💻 Finding out other alternatives to be very expensive I started working on Lamina to provide Entity Extraction and Sentiment Analysis (as of now, more coming soon) as an API easily available and more affordable than ever. Feel free to ask any questions below 😇
Report
7yr ago
Aslam Abbas
Aslam Abbas

Help.center

@ychummar Nice to see you see build a product at such a young age. Can you tell a business use-case of this product? That might speak directly to your Target Audience, perhaps? I think it should help others understand the benefits a bit more. Wishing you the best!
Report
7yr ago
Yan Chummar
Yan Chummar
Minutes

Minutes

Maker
@aslamabbas Thanks for question! Sentiment Analysis can be used by enterprises to analyse the reviews or feedback from users and can fasten the response process, it can be used to avoid negative content on platforms etc. Entity Extraction can be used to extract info like names, locations etc from a long text and can help in understand a text better. And can be used for recommendation systems and in customer support by easily getting entities from the customer query These are a few of many use cases of how Lamina could speed up the whole workflow 😄
Report
7yr ago
Chris Messina
Chris Messina
@ychummar nice work! How does this compare with something like fuzzy.ai?
Report
7yr ago
Kay
Kay
Ehm, not to be rude or anything, but the only selling point I could see for your service is the price. So I did a quick check and compared your prices to AWS Comprehend prices. They charge 0.0001 per call for up to 10M calls (20x the maximum amount you offer), then it gets even cheaper. To give an idea : Call QTY | 100 000 | 250 000 | 500 000 ------------------------------------------- $ lamina | 0,00019 | 0,000156 | 0,000138 $ aws | 0,0001 | 0,0001 | 0,0001 aws/lam | 52% | 64% | 72% This also made me realise that you could pretty much proxy all your calls directly to AWS and still make a penny 🤭 As for the quality of the output, to be honest Amazon will probably be better overall, as their "basic" tier covers up to 10M calls, I think they get decent training data... But I'm maybe missing something, please tell me if so!
Report
7yr ago
Yan Chummar
Yan Chummar
Minutes

Minutes

Maker
@jukefr Hey There! I understand your concern To brief it to you, Lamina offers Sentiment Analysis and Entity Extraction at $0.0002 per request but AWS offers both at $0.0001 per 100 characters or units as they call it, which basically means it costs $0.0001 per 100 characters analysed while we allow text with any number of characters. AWS can turn costly depending upon the use case. We have accuracy that has outperformed AWS models while we tested it, but more importantly all data transferred through our API is given high priority and is not stored or disclosed anywhere. Hope this answers your query!
Report
7yr ago
Joshua Miller
Joshua Miller
Digle

Digle

This looks cool, but seeing as there is no free trial it might be worth while to highlight some examples on your home page. Ie some text input and the api output
Report
7yr ago
Yan Chummar
Yan Chummar
Minutes

Minutes

Maker
@joshuajomiller Sure! Will get that done soon! Thanks for the feedback. 😄
Report
7yr ago
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