Seattle software for the people who cut, plant and shape the outdoors - powered by an AI that reads a property and does the math.
Here is a fact that should give any software investor pause: landscaping is a very large industry that mostly runs on clipboards, measuring wheels, and estimates written in the cab of a truck. Somebody drives to a property, walks it, guesses at the square footage of turf and the linear feet of bed edge, and then goes home to write a proposal in a spreadsheet. It works. It has always worked. It is also enormously slow, and slow is expensive when the thing you are selling is your own time.
Duranta’s bet is that you can delete most of that. The company, based in Seattle and founded in 2024, makes software for landscapers and lawn-care professionals. The centerpiece is an AI model with the faintly punny name AIdan - it folds “AI” into a human-sounding name - that automatically measures the details of a property from imagery and hands the landscaper back the numbers. Turf here, hardscape there, this many feet of edge. From those measurements the platform helps generate a proposal that looks, in the company’s telling, like it came from a business several times the size of the one that actually sent it.
The interesting part is who is doing this. Duranta’s founding team previously built Aurora Solar, one of the leading cleantech software platforms in the United States. Aurora solved a specific and unglamorous problem - designing a solar installation on a roof you have never physically visited, using imagery and math - and turned it into a large business. Landscaping is, if you squint, the same problem pointed at the ground instead of the roof. You have a property. You need to measure it accurately without standing on it. You need to turn that measurement into money. The founders have, in effect, run this play before.
That pedigree is why the cap table looks the way it does. When Duranta raised its $7 million seed round in July 2025, the leads were Base10 Partners, Pear, Coalition Operators and Sunshine Lake - and the angel list included Thomas Dohmke, the CEO of GitHub, and Andrew Miklas, the co-founder and CTO of PagerDuty. These are not people who typically show up on a lawn-care startup’s SAFE. Their presence is a tell: the market is boring, the software gap is real, and the team has done the measurement-to-money thing at scale once already.
The pitch of vertical SaaS is consolidation: don’t sell a landscaper ten disconnected tools, sell one that measures, designs, quotes, invoices and remembers the customer. Here is how Duranta splits the work.
A proprietary vision model that automatically measures property details from imagery. Duranta describes it as a foundation model that understands the physical world in 4D - the hard part, done first.
An intuitive suite for softscape and hardscape design, so a crew can visualize a project and show the client what they are buying before a shovel moves.
Material and margin calculation, service pricing and automated proposal generation - the numbers from AIdan turned into a document the customer can sign.
Invoice automation and tracking with payment processing and QuickBooks sync, closing the loop from proposal to paid.
Customer relationship management and activity tracking to help landscaping businesses win more work and keep their pipeline organized.
The company says customers eliminate thousands of time-consuming site visits - measuring remotely instead of driving out to every lead.
“Duranta is designed to help landscapers and lawn care professionals run stronger, more profitable businesses.”
The whole case for Duranta rests on a single, unsexy insight: the site visit is the tax. Every lead a landscaper wants to quote requires driving out, walking the property, and measuring it by hand - before a dollar of revenue is on the table. Cut that step and the same crew can quote more work in the same week. That is the lever AIdan is pulling.
The illustration below is a rough, directional sketch of where time goes in a traditional bid versus a measured-from-imagery one. Treat it as approximate - Duranta has not published a precise breakdown - but the shape of the argument is the point.
| Round | Amount | Date | Lead Investors |
|---|---|---|---|
| Seed | $7,000,000 | July 2025 | Base10 Partners · Pear · Coalition Operators · Sunshine Lake |
Samuel Adeyemo is Duranta’s co-founder and CEO. Before this, he co-founded Aurora Solar - the idea for which reportedly began when he and his co-founder spent half a year cobbling together tools to design a solar system because nothing better existed. He earned an MBA and an MSc in Engineering from Stanford, holds an economics degree from the University of Chicago, and started his career at JPMorgan before moving into technology.
The through-line is measurement. Aurora made it possible to design a rooftop solar array without climbing on the roof. Duranta is the same instinct pointed at the ground: measure the property from imagery, turn the measurement into a proposal, and give a small landscaping business the tooling of a big one. The broader team draws engineers from Amazon, Google, Airbnb, Figma and Datadog.
Ex-Aurora Solar engineers regroup to build software for the green industry.
The proprietary vision model for automatic property measurement becomes the platform’s centerpiece.
Base10, Pear, Coalition Operators and Sunshine Lake lead; GitHub’s and PagerDuty’s leaders angel-invest.
The company is named after a flowering ornamental shrub - a fitting badge for software built for the people who plant them.
The AI model’s name quietly hides “AI” inside a human name. Engineers having fun with the branding.
The same team digitized solar design at Aurora Solar before turning the playbook toward lawns and gardens.
Landscaping startups rarely list a GitHub CEO among their angels. Duranta does.
Facts drawn from public sources including GeekWire, PR Newswire, Landscape Management, Pro Landscaper USA and Duranta’s own site. Figures marked illustrative are directional, not exact.