Terriqon
Collect field data offline. Get AI reports in minutes.
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Terriqon - Collect field data offline. Get AI reports in minutes.

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Most field data tools stop at collection — you still spend weeks manually turning submissions into reports. Terriqon doesn't. It's an offline-first platform for field teams (NGOs, construction, conservation, research) that collects data without internet, then uses AI to generate ready-to-use reports instantly - no analyst, no spreadsheet wrangling. What used to take weeks now takes minutes. Built for teams who need field data to become a decision, not just a dataset.

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Hunter
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Hey Product Hunt 👋 I'm Anil, co-founder of Terriqon. We started building this after watching field teams - NGOs, construction crews, conservation researchers— go through the same painful cycle over and over: spend weeks in the field collecting data, then spend more weeks turning it into a report someone can actually act on. By the time the report was ready, the decision it was meant to inform was already late. Terriqon fixes the second half of that problem. You collect data offline (no internet needed in the field), and our AI turns raw submissions into a ready-to-use report, in minutes, not weeks. No analyst bottleneck, no spreadsheet wrangling. We've been running this with our first cohort of NGOs through our Pioneer Programme, and the "wait, that's it?" reaction when they see a report generate in real time has been the best signal we've had that this is worth building. Would love your feedback, especially if you've dealt with field data pain in NGOs, construction, research, or anywhere else. What would you want a tool like this to do that we haven't thought of yet? 🌍 terriqon.com

The offline-first angle is really appealing for our remote project sites. One thing that would make it even better for us - a simple way for field staff to flag data quality issues or missing info right in the app, so the AI knows what to double-check or exclude when generating reports.

Hunter

 Thank you for your comments.

Field-side flagging isn't in the product yet the way you're describing it - right now, review happens on the manager side through the submission queue rather than at the point of capture. Letting a field officer mark "this is estimated" or "site was inaccessible" and having that carry into the AI's exclusion logic is a smart addition. What kind of sites are you running, and how does bad data usually surface for you today?

The offline-first angle is genuinely useful for field work. One thing that would help teams like ours a lot is a simple approval workflow inside Terriqon, where a field lead can review the AI-generated report, leave comments on specific sections, and lock it before sharing with donors. Right now "instant report" sounds great but my program managers would still want a quick checkpoint to catch tone or numbers that look off before it goes external.

Hunter

Thanks  - you're describing exactly the failure mode we designed against. "Instant" doesn't mean "unreviewed" in Terriqon: AI-generated reports run through a confidence-gated review step before they're shareable, and low-confidence sections get flagged rather than quietly published. Section-level comments and a hard lock before external sharing is the direction we're building toward. What size is your program team, and who signs off today?