JA

Jungle AI

✓ verified, sync 2026-08-20

9 checks on record, most recent 2026-10-29 (responded).

Community scorenot yet rated
First indexed2026-08-20

Observation record.

What was checked ourselves, with dates. Not vendor copy, not a rating.

Most recent check 2026-10-29
Result: responded.

Checked on 9 distinct dates, since 2026-08-30. Checked roughly every 7.5 nights on this listing's own record.

2026-10-292026-10-232026-10-172026-10-112026-10-052026-09-292026-09-232026-09-172026-08-30

What this means: the 3-miss rule marks a listing discontinued only after three consecutive failed checks; a bot-wall response never counts toward that streak. the methodology

Price events.

auto-diffed on every sync: the changelog other directories don't keep

The price was checked on 2026-10-11 and no change was observed since.

No approved price events on record
No approved price change is on record.

Compliance observation.

Privacy policy link2026-10-24
On this date this link was fetched, it answered, and its content matched a privacy policy. Nothing further is claimed.

Not legal advice. This is an observation, not a legal judgment: the link was fetched on this date, it responded, and its content matched a privacy policy. Nothing more is claimed.

What it does.

The vendor's own description, unedited, not our claim.

Jungle AI offers a series of AI-based tools thoughtfully designed to enhance machine performance. Two of their key solutions, Canopy and Toucan, aim to improve machine uptime and provide precise power forecasts respectively. A major focus for Jungle AI is preventing downtime and production losses by fostering real-time operational insights into the performance of assets. To accomplish this, the AI tools meticulously analyze machine behavior and historical data to identify underperformance and predict potential equipment failures. Canopy, in particular, is noted for its ability to help prioritize performance issues, employing machine learning techniques to understand and learn from data generated by machines' sensors. Jungle AI also values simplicity in deployment; there's no requirement for additional hardware as the software utilizes existing data sources. While applicable to a range of industries such as wind, solar, manufacturing and maritime, Jungle AI's solutions are particularly useful in improving wind farm performance by identifying potential generation losses and avoiding turbine downtime by proactively detecting and addressing issues such as overheating. Customers of Jungle AI have reported improved asset management and operational excellence facilitated by the company's tools.

registry ID ndock:tool:jungle-ai