A tree falls on a power line. It’s a predictable crisis, a slow-motion disaster that costs utilities billions each year in repairs and outages. The problem isn’t that trees are inherently dangerous. It’s that no one knows which one is going to be the problem, or when. Treeable, a new Atlanta-based startup, is betting that the answer isn’t in a forester’s notebook, but in a satellite feed and a computer vision model.
Founded in late 2024 by Michael Orme, Treeable is building what it calls an AI-first Tree Intelligence Platform [Treeable website, retrieved 2024]. The core idea is straightforward: fuse aerial, satellite, and field data to map every individual tree across a utility’s right-of-way, then use AI to detect stress, predict failure risk, and automatically generate maintenance plans [Treeable website, retrieved 2024]. It’s a classic climate tech play, translating a physical, high-cost operational headache into a data problem. The company is currently in a quiet pre-seed stage, with a small team of an estimated three employees [RocketReach, Unknown].
A wedge in the infrastructure gap
The company’s initial wedge appears to be infrastructure protection, a market it says is worth over $100 billion annually in damage [Treeable website, retrieved 2024]. For a municipal utility or a regional power company, managing vegetation is a massive, non-negotiable operational expense. Crews drive lines, arborists make visual assessments, and planners try to prioritize. Treeable’s platform, delivered via APIs and analytics, aims to turn that reactive, labor-intensive process into a continuous, automated feed of risk intelligence [Treeable website, retrieved 2024]. The promised economics are stark: the company claims its approach can save customers 50-75% on operational expenses and deliver a 10-90x return on investment [Treeable website, retrieved 2024]. While these are early, unverified claims, they point to the scale of inefficiency the company believes it can address.
The competitive canopy
Treeable is not planting a flag in empty soil. The space for geospatial tree intelligence has grown crowded, with well-funded players targeting adjacent slices of the market.
| Company | Focus | Key Differentiator |
|---|---|---|
| SeeTree | High-value agriculture (orchards) | Precision health & yield for individual trees [agfundernews.com, retrieved 2026] |
| Overstory | Wildfire risk & utility vegetation | Real-time risk intelligence for electric utilities |
| AiDash | Broad infrastructure sustainability | Satellite AI for utilities, energy, and transportation |
| Treefera | Carbon offset verification | AI-driven transparency for forest carbon projects [treefera.com, retrieved 2026] |
Treeable’s stated focus on fusing multiple data sources and automating the full workflow from detection to maintenance plan suggests a platform ambition deeper than a single-point risk dashboard. Founder Michael Orme describes the mission as “GeoAI turning satellite imagery into real-world decisions” [LinkedIn, retrieved 2024].
The quiet bet of a solo founder
The venture is, for now, a solo founder’s project. Michael Orme, who started the company in November 2024, brings a background in electronic communication and prior experience at AG Entertainment [LinkedIn, retrieved 2024] [ZoomInfo, retrieved 2026]. The lack of a publicly disclosed technical co-founder or funding round places the company firmly in the “proof-of-concept” phase. The risks here are the classic ones for any early-stage, capital-intensive deep tech play.
- Algorithmic accuracy. The core value rests on the AI’s ability to correctly identify hazardous trees from orbit. A high false-positive rate would waste crew time; a miss could be catastrophic.
- Sales motion. Selling into regulated utilities is a long, relationship-heavy process. A three-person team lacks the enterprise sales footprint of an AiDash or Overstory.
- Data integration. The promise of fusing disparate data sources (satellite, aerial, ground) is also a technical integration headache that can slow deployment.
The company’s current stealth posture means these are theoretical hurdles. The next twelve months will be about moving from a website with bold claims to a live pilot with a named utility customer.
For a utility with 10,000 miles of line, even a modest improvement in targeting could reshape the economics. If Treeable’s AI can reliably identify the 5% of trees that pose 95% of the risk, the savings aren’t just in avoided outages. They’re in fuel not burned by idling inspection trucks, and in labor hours reallocated from guesswork to guaranteed problem spots. That’s the unit economics that matters: joules of diesel and person-hours saved per circuit mile monitored. To succeed, Treeable doesn’t need to beat every geospatial AI startup. It needs to become more reliable and cheaper than the incumbent practice of sending a guy in a truck to squint at a pine tree. That’s a bet worth watching.
Sources
- [Treeable website, retrieved 2024] Treeable, AI-first Tree Intelligence Platform | https://treeable.com/
- [LinkedIn, retrieved 2024] Michael Orme - Founder & CEO @ Treeable | https://www.linkedin.com/in/michael-orme-94480673/
- [RocketReach, Unknown] Treeable Management Team | Org Chart | https://rocketreach.co/treeable-management_b685c54dc605dddb
- [agfundernews.com, retrieved 2026] Exclusive: Israel's SeeTree banks $17.5m to expand its 'tree intelligence' platform | https://agfundernews.com/israels-seetree-banks-17-5m-to-expand-its-tree-intelligence-platform-for-orchards-and-forests
- [treefera.com, retrieved 2026] Treefera Secures $2.2M to rework Carbon Offsetting | https://www.treefera.com/blog/treefera-pre-seed-funding-round
- [ZoomInfo, retrieved 2026] Contact Michael Orme, Founder & CEO at Peachtree Tree Service | https://www.zoominfo.com/p/Michael-Orme/8189292667