Nicole Robinson
CEO
Lyro
Lyro offers an AI-driven software platform, LYRO Mi, that adds deep‑learning vision and smart‑gripping control to existing robots, enabling them to identify, pick, and pack diverse fresh produce without pre‑defined CAD models. The solution provides continuous 24/7 operation, reduces errors and waste, and improves throughput and cost efficiency for packhouses and food‑processing facilities.
- Agriculture Technology
- Artificial Intelligence
- Hardware
- Industrial Automation
- Logistics & Supply Chain
- Robotics
Updated 5 months ago
Funding
Raised to date
$3.1MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
$2.1M across 3 disclosed rounds
AEBQGTK$540K · Grant
Announced Mar 2023
Disclosed cumulative: $2.1M
3/3
Reported total $3.1M
Incomplete round history. $970K of the $3.1M reported total isn’t matched to a known round.
RoundDateAmountValuationInvestors
Founders
Juxi Leitner
CTO
Product
Problem
Fresh produce packing operations often rely on manual labor to handle a wide variety of items with differing shapes, sizes, and fragility, leading to high labor costs, inconsistent quality, and limited scalability.
Solution
Lyro provides an AI-driven software stack, LYRO Mi, that equips existing robotic systems with deep‑learning based decision making, computer‑vision perception, and smart gripping control. The platform enables robots to identify, pick, and pack high‑variability fruits and vegetables without needing pre‑defined CAD models, adapting to new items quickly. By integrating vision, AI, and gripper coordination, the solution delivers continuous, 24/7 operation with reduced errors, lower waste, and predictable throughput, transforming manual packing lines into automated, high‑precision processes.
Target Audience
Primary customers are fresh‑produce packhouses, food‑processing facilities, and agricultural supply‑chain operators that need automated picking and packing of fruits and vegetables.
Features
- Deep‑learning “brain” that learns packing rules and adapts to new produce types on the fly
- AI‑powered computer‑vision “eyes” that recognize shape, color, size, and condition of items in real time
- Smart robotic gripper control that handles delicate produce without causing bruising or scratching
- End‑to‑end software that can be deployed on existing robot hardware to enable rapid scaling across product lines
- Continuous operation with automatic error detection and reduction of waste, improving throughput and cost per unit