Video in, Insight Out.
Yield Systems turns a smartphone into the world's most precise data collection tool.
Our combination of simple hardware and sophisticated algorithms excel at applications that require over 99% accuracy and invariable, high performance.
Start harvesting your data today.
Unlike traditional vision systems that demand specialized hardware and sterile environments, our technology extracts precise measurements from ordinary smartphone footage. A quick video scan transforms into rich data streams—tracking inventory as it moves through warehouses, spotting defects invisible to the human eye, or monitoring production flows in real-time. Where clipboards and manual counting once dominated, a simple phone sweep now captures everything. Workers freed from tedious counting can focus on solving problems, while managers receive consistently reliable data without the usual human errors and gaps.
Measure Everything That Matters
Transform any visual data into actionable intelligence, capturing metrics previously impossible to track cost-effectively.
Industrial Accuracy, Consumer Devices
Achieve over 99% accuracy using only smartphone-based data collection, eliminating the need for specialised equipment.
Collect & Process 10× Faster
Dramatically accelerate your insights pipeline while maintaining exceptional precision, enabling rapid decision-making.
Scale Effortlessly – Anyone Can Use
Deploy our technology across your organisation without requiring AI expertise, democratising access to advanced analytics.
Go-Live in One Quarter
Implement quickly and see ROI rapidly, turning AI from a long-term investment into an immediate competitive advantage.
What Ford Did for Driving, We Are Doing for Seeing
After the introduction of the Model T Ford, the world was no longer the same. Affordable mobility opened new possibilities and widened horizons. It created a new kind of future.
This is exactly what Yield Systems is doing for vision-based AI. Our technology is not experimental—it's real, tested, deployed. And while its potential is still unfolding, its impact is already measurable.
Synthetic data breaks the constraints of traditional machine vision, enabling performance in scenarios too complex, variable, or commercially unviable for human-labeled AI.
Our Tech in a Nutshell: The Real World Doesn't Have Barcodes
Imagine if Amazon tried to track each of its millions of packages by scanning them from a satellite or drone. It sounds absurd—because it is. Global logistics runs on a simple principle: every package gets a barcode and is scanned at checkpoints by reliable, cost-effective sensors. It's an unflashy solution, but precise, scalable, and efficient—qualities an all-seeing AI could never match.
But real-world objects don't come wrapped in barcodes. Crops in a field, loose items on store shelves, or scattered equipment in a warehouse—they don't line up neatly for a scanner. This is why conventional AI struggles with real-world observation. Tech giants have spent billions trying to solve this by throwing drones, satellites, and high-cost hardware at the problem. But these approaches miss details, require constant expert calibration, and don't scale.
Yield Systems flips the equation—instead of modifying the world to fit AI, we've built AI that adapts to the world.
By training video AI on synthetic data rather than manually annotated images, we rapidly develop high-performance machine vision for complex applications previously unviable due to costs of model training or human annotation.
How do we achieve this? Simply—but not trivially. From a short smartphone video, we generate structured, replayable data. Our proprietary AI trains itself using synthetic data from the original clip. It learns every relevant visual variation and delivers accuracy beyond the trained human eye.
We equip industries with patented visual analytics to identify, count, and measure virtually anything across any domain—at scale, at speed, and with permanence.
A smartphone gets close enough to capture the essentials—plant traits under canopy, retail shelf stock, or wound healing patterns. Supported by our patented hardware frames, precision becomes scalable.
Still today, in 2025, human vision remains a systemic limitation. It is inconsistent, expensive, unrepeatable—and critically, ephemeral.
Our system records every detail. It can be revisited, verified, reanalyzed. Eyes that see—and remember.
Where others see pixels, we extract structured, lasting data. To a human, it feels impossible—like watching a camera measure weight, count individual items in a pile, or detect changes too subtle for the eye to notice. But that's what our system does, frame by frame, consistently, without fatigue or error.
Just as the Model T didn't merely move people faster but made movement accessible, Yield Systems makes real-world understanding scalable. It turns messy, complex environments into structured knowledge—instantly, repeatably, and across time.
Investment Case: Scalable Growth from Proven Technology
Yield Systems sits at a unique intersection of proven technology and vast untapped markets. Our platform has demonstrated commercial success in agricultural phenotyping and retail inventory—achieving performance metrics that competitors cannot match at a fraction of their cost. This is not speculative technology; it's deployed today, generating recurring revenue from global customers in various industries.
Our business model consists of an initial customer-specific customisation and a long-term SaaS revenue stream. In agriculture, our technology becomes embedded in 8–12 year breeding cycles, while retail implementations typically continue for 5+ years. This creates exceptional customer lifetime value, with annual per-customer revenue ranging from €25,000 to €2 million. Our customer acquisition costs remain remarkably low due to the acute problems we solve and lack of viable alternatives.
The growth trajectory extends far beyond our initial markets. The same core technology—smartphone-based video intelligence powered by synthetic data—can be applied across healthcare, defense, manufacturing, and numerous other sectors where manual observation remains a critical bottleneck. Each new implementation adds capabilities to our platform while generating immediate revenue. While tech giants invest billions in theoretical AI advancements, we're solving real-world observation problems today with patented methodology that will maintain our competitive edge for years to come.
For investors, this represents a rare opportunity: a deep-tech solution with proven commercial traction, substantial recurring revenue potential, and a clear path to multiply valuation as we scale across industries.
Founder Jussi Gillberg jussi@yieldsystems.tech
CEO Sami Semenius sami@yieldsystems.tech
Even this sounds futuristic. But it's already happening—in fields, in warehouses, on smartphones, by anyone, at accuracy levels no human could match.