Unpopular opinion:
If your data analyst is spending more than 30 minutes cleaning a dataset โ you don't have a data problem. You have a tooling problem.
And most companies are too used to the pain to even notice it anymore.
We fixed ours. Built an AI agent that cleans data, fixes inconsistencies, handles missing values, and spits out visualizations. In seconds.
Reply "data" and I'll show you what that looks like.
(Or tell me I'm wrong. I'll wait :)
We stared at the screen for a solid minute when it came through.
Agaami AI Labs is officially recognised by Startup India under DPIIT. ๐ฎ๐ณ
Didn't plan to get emotional about it. Did anyway.
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@ayesha_fatiima Because code is the easy part.
Understanding what to build, why it keeps breaking in production, and who it's actually for are some things AI is still remarkably bad at
@TheAhmadOsman Red Hat gave Linux away free. IBM still paid $34 billion for it.
The value was never in the code. It's in what you build around it.
Free models don't kill AI companies. They just raise the bar for what "worth paying for" actually means.
@TTrimoreau Messy numbers go in โ Pretty pictures come out. โGrown-ups stop crying.
(We automated Data analysis and cleaning for you with 90% accuracy. That's Quantum Dash.)
@TheAhmadOsman Red Hat gave Linux away free. IBM still paid $34 billion for it.
The value was never in the code. It's in what you build around it.
Free models don't kill AI companies. They just raise the bar for what "worth paying for" actually means.
@OpenAI Sol. Terra. Luna.
At this point OpenAI is just naming models after things that have existed longer than computers.
Next drop: GPT-6 Milky Way. For when you need answers from across the galaxy but still can't export a PDF properly.
Built this because I was tired of the problem existing. Give it a go and tell me what you think โ https://t.co/evwilwVBgo
For feedback - comment or DM