posting velocity //
Opens vs closes per day
Based on 0 events over 90 days. Green days had more opens than closes, red vice-versa. The dark line is the 7-day rolling average.
Posting timing (day/hour) is available only when there are at least 5 jobs with a real publish stamp spread across 3 distinct days. This company's source doesn't expose post times, or there isn't enough data yet — showing what we know for sure: how many jobs are open, in which domains, and at which seniority levels.
Showing: Israel. Click another pill to switch.
Open now
0
Total active openings across all sites
Δ 28-day
0
Opens minus closes in the last 28 days
Δ 90-day
0
Opens minus closes in the last 90 days
posting velocity //
Based on 0 events over 90 days. Green days had more opens than closes, red vice-versa. The dark line is the 7-day rolling average.
role mix //
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The green layer is the current share of active openings by role. The grey dashed layer is the 90-day baseline — gaps between them show where the company is shifting its hiring mix.
seniority pyramid //
Seniority is not exposed by the source for this company.
Distribution of active openings by seniority. The 'unknown' row groups jobs from sources that don't expose seniority.
geography //
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Active openings by region. Click a row to see jobs in that area.
time on market //
Median
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25th pct
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75th pct
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Based on 0 closed jobs and 0 still open (right-censored). Curve is Kaplan-Meier; band is the 95% CI.
Window: 180 days back. Don't read the mean — the long tail biases it. Median and percentiles are the honest summary.
Republish rate
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Fewer than 10 closures in the window — not enough to compute.
company intel · ai-generated
Updated 1d ago
Tevel Aerobotics is an Israeli company that develops autonomous flying robots for fruit harvesting. The company was founded by Yaniv Maor. Tevel's core technology is a tethered drone system designed to pick fruit — primarily apples and other tree fruits — without human labor, addressing the agricultural industry's acute shortage of seasonal harvest workers.
Tevel's primary product is a fleet of tethered autonomous drones that attach to a ground-based power and AI unit and fly alongside orchard rows to identify, pick, and collect ripe fruit. The system uses computer vision and machine learning to distinguish ripe from unripe fruit and to navigate tree canopies. The target buyers are commercial orchard operators, and the company has conducted field deployments in Israel and in the United States. The problem being solved is the chronic unavailability and high cost of hand-picking labor in tree-fruit agriculture.
Tevel operates out of Israel, where its R&D and engineering teams are based. The founders are Israeli. Detailed public information on office locations, headcount, and funding specifics is limited.
key people & leadership
1 key people, sourced from public records — with a per-row confidence score.
Yaniv Maor
Co-founder & CEO
news feed
No recent news about this company.