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| Feature | ||
|---|---|---|
| Rating |
3.6
|
2.7
|
| Reviews | 5 | 3 |
| Category | Industrial and Manufacturing | Industrial and Manufacturing |
| Description |
Poka Labs is developing an AI platform to automate operations tasks in chemical manufacturing, beginning with production scheduling. Traditionally, these tasks are performed manually using spreadsheets. Our software seamlessly integrates with existing data sources such as data historians, emails, and PDFs to automate analytics, scheduling, changes, and communication within a single platform. Malay and Andrew met while pursuing their MBAs at Harvard Business School. Malay previously worked as an engineer in the specialty chemical industry, saving his employers over $100 million across US, China, and German plants. Andrew worked as a software engineer on data infrastructure at Meta and optimization problems at a seed-stage startup. He also completed a Masters degree at Harvard specializing in Machine Learning. |
At Tiny, we’re building a new kind of ERP system for factories where AI agents automate repetitive workflows. Made for the four million factories still primarily relying on Excel. LLMs now unlock their troves of siloed unstructured data. We see a massive opportunity to build a compound startup and, beyond that, tap into network effects to unlock just-in-time manufacturing across entire supply chains. |
| Website | https://www.pokalabs.com/ | https://andtiny.com |
| Positives |
"Easy to set up and get started. Very intuitive."
Jamison Gibson - 5/5
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"The best solution we've tried for this use case."
Dedrick Bradtke - 4/5
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| Negatives |
"Customer support was slow to respond to our issues."
Eve Schinner IV - 1/5
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"Too complex for our needs. Not user-friendly."
Titus Volkman - 2/5
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| Details | View Full Review → | View Full Review → |
