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Watt
- wattdata.ai
- Data Infrastructure and Analytics
- US
- 23 employees
Watt’s ads on LinkedIn, Meta and Google, recorded by adsrunning. Browse the latest here for free. Sign up free to see all 231. Watch Watt on any plan to get each new one in your feed.
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| Network | Status | Live ads | Nov 2025LinkedIn activity · 52 weeksNov 2026 | Checked | Next step |
|---|---|---|---|---|---|
| None recorded | 0 | Checked 3 Nov 2026 | See all 231 ads → | ||
| Meta | Not checked | — | |||
| Recently | 4 | Ads on the Google Ads Transparency Center | Checked 15 Oct 2026 | Collect them with the API → |
Watt has no live LinkedIn ads. We recorded 4 Google ads on 15 Oct 2026.
Latest ads
- LINKEDIN · IMAGERecorded 21 Oct 2026
The next useful datasets are increasingly private, fragmented, rights-sensitive and difficult to acquire at scale. Watt originates scarce private data, makes it AI-ready, and delivers it as raw corpus or structured data, quickly. Tell us what data you need.
- LINKEDIN · IMAGERecorded 21 Oct 2026
Decades of operating history sit trapped in systems, PDFs, field records and archives. Watt handles the work between the operator and the AI data market, and returns the operator's own data AI-ready. Talk about your data.
- LINKEDIN · VIDEORecorded 21 Oct 2026
ai is already good at consuming documents. pdfs, websites, transcripts, slack. turn enough unstructured text into something clean and models reason over it fine the next one is harder. operating data • a huge amount of it lives in databases, telemetry, erps, field software, accounting systems and decades-old infrastructure that was never built for ai • oil and gas is the clean example. 20 years of drilling telemetry isnt training data by itself. you need the sensor reading connected to the field record, to what the operators were saying, to the decision they made, to what happened operationally and financially after • those all live in different systems. so the work is joining them, cleaning them, normalizing them, keeping provenance attached, and turning the operating record into something another system can actually use • what comes out depends on who needs it. raw corpus for training. structured workflows for post-training. api/mcp for an agent at inference. chat for a human who just wants to ask a question • its a refinery problem. the product is whatever comes out the other end for a specific consumer • and if every dataset takes months of people hand-stitching systems together it doesnt scale. the refining has to become infrastructure most of the next wave of ai data is already sitting inside the operating systems of the physical economy. energy. manufacturing. construction. transportation
- LINKEDIN · IMAGERecorded 21 Oct 2026
Decades of operating history sit trapped in systems, PDFs, field records and archives. Watt handles the work between the operator and the AI data market, and returns the operator's own data AI-ready. See what your data could be worth.
- LINKEDIN · IMAGERecorded 21 Oct 2026
Watt originates data the internet never had. Source-licensed, auditable, and cleared for training. Today, the US consumer market. Next, any private record.
- LINKEDIN · IMAGERecorded 21 Oct 2026
LLMs index what people say. Watt indexes what people do. The signal you're missing is the action.
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