Led · Seed · Jun 2026

Picketa Systems develops a portable leaf-evaluated nutrient system (LENS) that uses optical spectroscopy and machine learning to estimate 13 key crop nutrients in minutes, coupled with a Fieldbook software platform to deliver recommendations to growers and agronomists. LENS has been validated against third-party laboratory chemical testing and the company works with institutions including the University of Guelph, University of Missouri, University of Nebraska–Lincoln and Cornell to build its calibration dataset. The technology has been validated on potatoes, corn and canola and is being expanded to soybeans and wheat, with cotton, onions and tomatoes in the pipeline. Picketa’s go-to-market has reached 45 agricultural retailers in North America and users include grower Chris Weaver; the company charges $10,000 (USD) per year for hardware, unlimited sampling, support and Fieldbook access, with 10% of that fee allocated to lab validation. Management says Fieldbook recommendations can help reduce fertilizer costs by up to 20% and enable more granular, region- and variety-specific nutrient guidance. The company plans to scale adoption across more crops and geographies as it commercializes the LENS technology.

Participated · Seed · Dec 2025

SimpleHedge is a Calgary-based agritech startup that lets producers assess and manage commodity price exposure through an integrated software platform. The tool aggregates real-time market data, on-farm inventory records and scenario modeling to present actionable hedging strategies without requiring users to trade futures or options directly. In just eighteen months, the company says it has supported more than US$350 million in transactions from nearly 3,000 farmers, covering over 110 million acres. The recent capital injection will fund continued product development and hiring in Calgary and Winnipeg. Management and backers position SimpleHedge as a modern risk-management solution for agriculture, bringing tools commonly used in institutional markets to family farms. The firm’s rapid early adoption underscores demand for simplified hedging and decision-support tools in the commodity sector.

Participated · Seed · Jun 2024

IntelliCulture sells software to growers of high-value crops—vineyards, orchards, and specialty fruits and vegetables—to plan equipment maintenance and labour, track sprays and harvests, and manage safety and regulatory compliance. The platform ingests third-party telematics data, analyzes it, and generates visualizations and insights to help growers optimize operations and reduce losses. The company claims at least one customer saved upwards of $30,000 in annual crop losses and currently serves over 100 customers, some managing up to 40 sites. Vineyards account for roughly 50% of revenue, orchards about 30% (the fastest-growing market), and specialty crops the remaining 20%; up to 90% of business is in the U.S., led by California. IntelliCulture reports average year-over-year revenue growth of between 150% and 200%. The team has more than doubled since 2022 and plans to expand headcount while further developing safety, compliance, and automated recommendation features. IntelliCulture offers an equipment management platform and backwards-compatible IoT devices that feed machinery data into reporting and software to digitize and automate farm management. The product surfaces insights on spray coverage, operational health, labor management and seasonal performance, and customers report efficiency gains in excess of 30% from platform recommendations. The company serves growers across North America, from small family operations to Fortune 500 wineries, and is extending beyond high-value crops via a plug-and-play approach. IntelliCulture plans to scale its team and intends to double headcount within the next year to meet rising inbound demand and product requests. The company also sees predictive algorithms and seasonal-data-driven planning as the future of the platform. Financially, IntelliCulture closed a C$1.7 million seed round to fund this growth and product roadmap.

Led · Seed · Jan 2024

GeneNeer, led by CEO and co-founder Kinneret Shefer PhD, has developed a method leveraging proprietary Superlines and tissue-specific silencing to improve the precision, speed, and safety of advanced breeding technologies. The company’s first focus is on the potato market. It is actively pursuing development in other key crops through strategic partnerships. GeneNeer intends to use the funds to expand research and development into its methods for enhancing gene editing and gene discovery. The company recently closed a US$1 million seed funding round. GeneNeer is based in Yehud, Israel.

Participated · Series B · Dec 2023

谛声科技 develops AI acoustic-detection technology for industrial applications, specializing in multi-microphone-array complex sound-field signal processing and analysis. The company provides AI intelligent acoustic fault detection, operations and maintenance and diversified solutions to industrial manufacturing, energy, power and rail-transport customers. It recently completed a B+ financing round of more than ¥100 million. The round was led by Beijing Zhongyi Digital New Economy Industry Fund, an investment vehicle under China Mobile, with participation from October Capital, Gaochuang Investment, Wild Grass Ventures and others. Proceeds are planned for product R&D, production-line expansion and market promotion. The company positions itself as an explorer of acoustic inspection AI technologies for industrial use cases. 谛声科技 (Dishing Technology) develops end-to-end acoustic sensing products that combine microphone arrays and proprietary acoustic algorithms to detect and locate faults in industrial equipment. Its offerings include non-contact terminal devices and a SaaS platform that deliver AI acoustic fault detection, fault localization, and maintenance alerts for rail, power, and broader industrial customers. The company reports large-scale data collection partnerships (including with an electrical research institute) and claims industry-leading accuracy across 50+ power-grid fault types, 37 railway fault models, and hundreds of industrial fault models. Products cited include rail running-gear abnormal-sound monitoring, power-plant fault detection systems, and acoustic-imaging terminals, all designed for noisy field environments. 谛声 emphasizes its soft‑and‑hardware approach—microphone-array hardware enabling far-field pickup and software models for de-reverberation, source separation, and classification—to address early-stage fault detection that traditional methods miss. The team says it will use new funding to continue R&D and expand market deployment in power and rail scenarios.