Steve Mantle, CEO and founder of Innov8.ag, says he’s seen many a farm office littered with branded ballcaps and notepads of ag tech solutions that failed to deliver and often no longer exist. That’s why the company recently launched an aggressive 15-slot paid pilot of its HarvestReplay intelligence platform for specialty crop growers. This pilot carries an unprecedented guarantee that if a grower doesn’t identify at least $20,000 in savings within the first year, Innov8.ag will refund the $10,000 pilot fee in full.
Mantle says the aggressive guarantee was intentionally designed to cut through the noise and eliminate the financial risk of adoption at a time when growers are facing unprecedented economic pressure.
“Growers justifiably have a lot of skepticism about new technology after a decade of overhyped, overpromised innovations,” he says. “HarvestReplay is different; it’s built on the tech and data growers already have in place — no new systems, no ripping and replacing, no training crews.”
For Mitchell Karstetter, a third-generation apple, cherry and pear grower at RJK Farms in Quincy, Wash., that guarantee changed the equation.
“When you’re staring at fuel, fertilizer and wage bills all climbing at once, writing a check for new software is usually at the bottom of the list,” Karstetter says. “With HarvestReplay, it felt less like a gamble and more like a partnership.”
Keeping the pilot capped at 15 growers was a deliberate choice to ensure the Innov8.ag team could remain intensely hands-on. However, Mantle notes the data prerequisites are specific.
“Operationally, we’re looking for growers who can give us clean exports from their labor or harvest systems, have enough scale that crew deployment and overtime decisions materially affect their economics, and are willing to dedicate roughly 30 minutes to onboarding plus periodic check-ins so we can tailor recommendations to their blocks, crews and packout realities,” Mantle says.
Once that data is secured, the turnaround is fast. Within 7 to 10 days of onboarding, the platform begins generating daily, role-specific audio briefings.
“Those briefings are delivered as short private podcasts tailored for different roles on the farm — owner/CFO, farm manager and crew leads — and available in multiple languages so everyone hears the same playbook in a way that fits their day,” Mantle says, noting a sample of the podcast can be found at innov8.ag/products/harvestreplay/#podcast.
Mantle says this HarvestReplay trial isn’t just about cost savings for the grower; it’s also about quality and value.
Finding Margins in Quality
While labor costs are an immediate crisis, Mantle says the platform’s value lies within other parts of the operation.
“The same data that flags a labor leak also tells a grower which blocks to hand-pick for fresh premiums, when to harvest to protect grade and storage life and where to cut cull and shrink before fruit ever reaches the packline,” he says. “For a lot of operations, protecting quality and packout is where the real margin lives.”
Mantle says quality and packout are the next part of HarvestReplay’s expansion, where growers will apply operational intelligence to quality and grade-out in other crops such as fresh-market tomatoes.
This evolution from labor tracking to systemic decision-making has been seen in early pilot runs for blueberry and apple growers. Once the initial labor savings became tangible, Mantle says growers began to look at the bigger picture on their farms.
“Early adopters in blueberries and apples began with crew productivity and overtime, then very quickly extended into questions like ‘Which blocks justify hand-pick for fresh premiums versus machine harvest for processing?’ and ‘How do we align irrigation to protect quality in storage?’” he says.
Mantle says that this push to optimize inputs becomes critical as escalating labor costs outpace revenue growth, leaving growers with no room for error.
“When you’re that tight, a few poorly timed irrigations, a heat event that compresses your picking window or a misaligned crew schedule can mean the difference between capturing a fresh premium or dumping fruit at a loss — so operational intelligence becomes the only practical way to continuously reprioritize labor, water and logistics around the realities of markets and weather,” he says. “National commodity shocks amplify the labor crisis in specialty crops, and these growers desperately need tools that help them see cross-impacts, not just manage each cost silo separately.”
Optimizing People, Not Cutting Staff
Karstetter agrees, noting operational gains come through improving execution, not cutting corners.
“When the cost side keeps climbing, you have to know exactly where an extra hour of crew time or a second spray pass will pay off and where it won’t,” he says.
HarvestReplay data helps growers eliminate friction and identify where machine or hand harvesting yields the best returns as opposed to eliminating positions. Mantle says growers armed with data can position teams to optimize efficiency.
“One of our early adopters raised piece-rate pay based on a HarvestReplay recommendation to incentivize productivity,” he says. “Even though the rate per tree went up, the jump in productivity more than offset the cost, ending with significantly higher throughput for only about a cent more per tree in net cost.”
The Data Silo Problem
The bottleneck of modern operations isn’t a lack of technology but a lack of time, capital and clear decisions. Mantle says growers already deploy soil sensors, track labor, gather weather and packout data, but these data streams rarely communicate with one another.
“We create a single operational picture, so growers can optimize what they already have instead of buying another box of hardware to bolt onto a tractor or paying for another expensive consultant,” he says.
For Karstetter, it’s this exact tie-in between all the data his farm collects that has reduced operational headaches. Before integrating HarvestReplay, he says he would toggle between payroll systems, scouting notes and spreadsheets.
“By the time I stitched it together, the day was already gone,” he says. “Now the platform pulls that into a single briefing, and I’d say we were easily losing several hours a week in decision lag and misallocated crews because those systems didn’t talk to each other.”
Mantle says that for growers, often the biggest financial returns are shifting crew start times around heat events or moving a field scale to reduce walking time. These small adjustments, he says, “can stack into tens or hundreds of thousands of dollars in savings or protect the grade and packout percentages that unlock premium margins in high-value fresh markets.”
Looking ahead, Mantle says this unified operations approach may soon shift from a competitive advantage to an industry baseline. Even if macroeconomic input pressures ease, operations positioned to thrive will treat the farm as an optimized system.
“Other sectors have had this kind of cross-functional operational intelligence for years; agriculture largely hasn’t, and that’s the gap HarvestReplay is built to close,” he says. “Plenty of tools in specialty crops manage one slice of the operation — labor, payroll, irrigation, scouting — but very few pull the whole operating picture together beyond labor the way growers actually have to manage it day to day.”
