Participated · Series A · Jun 2026

SWARM Engineering builds operational AI that combines domain-trained intelligent agents and optimization algorithms to deliver verified, auditable decisions for supply chain, workforce, and logistics in agrifood and manufacturing. Its platform is built on an operational ontology for these industries, ingests real-time data, preserves institutional knowledge, and runs scenario simulations across thousands of variables in minutes. SWARM says customers compress planning cycles, simulate hundreds of logistics and supply scenarios quickly, and gain cross-functional visibility not provided by legacy planning tools. The company serves leading global brands across the U.S., Latin America, and Europe and has been recognized by AgTech Breakthrough in 2024 and 2025. Leadership includes veterans from Microsoft, Palantir, Google, and UiPath, and the company recently added Jason Trusley of Land O'Lakes to its advisory board. Post-financing plans include expanding use cases, scaling go-to-market efforts, and deepening ERP and supply-chain integrations.

Participated · Equity · Nov 2024

EarthOptics leverages advances in soil-sensing technologies, genomics, and data science to deliver predictive insights into chemical, physical, and biological soil properties. It combines lab-based analysis with field-based sensors to give farmers and ranchers actionable recommendations to optimize spending and unlock sustainable farming opportunities. The company completed a strategic merger with Pattern Ag, combining EarthOptics’ proprietary field-based sensing technologies with Pattern Ag’s lab-based analysis to offer comprehensive soil data. Led by CEO Lars Dyrud, EarthOptics operates offices in Raleigh, North Carolina; Emeryville, California; Arlington and Blacksburg, Virginia; Minneapolis, Minnesota; and Fayetteville, Arkansas, and maintains two laboratories in Emeryville and Memphis, Tennessee. The company intends to use new funding to accelerate technological innovation, broaden its geographic reach, and consolidate its position as an authoritative source for soil insights. EarthOptics develops next-generation soil-sensing technologies that combine ground-based sensors, satellites, physical soil samples, machine learning models, and agronomic expertise to deliver detailed soil measurements. The company's platform provides insights to help farmers optimize fertilizer applications, inform tillage decisions, and quantify carbon sequestration. EarthOptics plans to use its latest funding to expand access to its tools and deliver hyper-accurate soil insights. Founded in 2018 and based in Arlington, VA, the company serves growers and ranchers seeking data-driven land-management decisions. The company is led by CEO Lars Dyrud. The article reports a recent financing that will support its growth and product expansion efforts. EarthOptics has developed an imaging suite that uses ground-penetrating radar and electromagnetic induction to produce deep maps of soil physical and chemical composition. Its commercial products, GroundOwl and C-Mapper (C for carbon), reconcile no-contact sensor data with traditional lab samples via machine learning trained on tens of thousands of ground-truth measurements. The hardware can be mounted on ordinary tractors or trucks and pulls readings every few feet, reducing physical sampling from hundreds of samples to dozens. The company’s outputs can be used to create meter-scale treatment maps or to feed variable-depth robotic field machinery such as smart tillers. Management positions the product as a cheaper, faster, and more precise alternative to traditional soil sampling and as foundational data for automated and robotic farming. Financially, EarthOptics raised a $10.3M A round to scale its two existing products and to develop a moisture-mapping product.

Participated · Seed · Aug 2022

Ordaōs is a New York-based biotechnology company designing mini-proteins to help drug hunters deliver life-saving treatments. Led by CEO David Longo, the company positions itself as human-enabled and machine-driven, leveraging proprietary multitask meta-learning and reinforcement learning. Ordaōs uses the Ordaōs Design Engine to generate, appraise, and rank billions of protein sequences and hundreds of thousands of protein structures and properties to create customized miniPRO™ proteins. These proteins are rapidly evaluated in vitro to provide intelligent feedback on multiple design objectives, including structure, binding specificity and affinity, solubility, stability, immunogenicity, and developability. The iterative, continuous-learning process translates human-targeted product criteria into optimized mini-proteins intended to meet a client's molecular target product profile and enable targeted therapies that reduce patient suffering and extend life. The company raised $5M in Seed funding to support these efforts.

Participated · Series C · Jul 2022

Arable builds an integrated solution combining connected sensors, agronomic models, and a software suite to provide weather, soil, plant-health and irrigation insights for farmers, agronomists and food companies. Its platform combines sensor data and machine learning to support on‑farm decisions, optimize water use, and benchmark sustainability and carbon outcomes. Customers have used Arable to reduce irrigation by up to 50% and pesticide use by about 15% in deployed cases cited by the company. Arable serves customers in over 40 countries and works with partners including Bayer, Netafim, The Nature Conservancy, Treasury Wine Estates and The World Food Programme. The company reports four‑time growth in annual recurring revenue each of the last two years, a 200% increase in active mobile app users over the past 12 months, and has doubled its team while adding offices in Sao Paulo and Bangalore. With the new funding Arable plans to accelerate product development, deliver new services, and expand its global footprint to advance climate resilience in agriculture. Arable provides an integrated system of hardware, agronomic modeling, and software that uses spectral and thermal sensors plus unique rain‑measurement microphones to observe crops continuously and diagnose stress. Its products fuse ground devices, forecasts, satellite data, and APIs to deliver actionable intelligence to farmers, researchers, processors, and food companies. The company reports just over 300% sales growth through Q3 2020 and has deployed thousands of devices across hundreds of thousands of farm acres, covering 37 crops in 39 countries on six continents. Arable’s calibration‑validation network includes more than 30 scientific research sites and its system collects over 36 million data points per day. The team emphasizes data quality, accuracy, and intuitive design and partners with major agriculture players such as Bayer, BASF, Corteva, and Treasury Wine Estates. With the new capital, Arable plans to accelerate global commercial growth and build the next phase of its predictive data products. The company is led by CEO Jim Ethington and Founder & Chief Scientist Adam Wolf and is based in San Francisco, CA. Arable makes solar-powered sensors (Arable Mark, formerly the Pulsepod) and the Arable Insights software platform to collect and analyze plant, light and weather data for farms. Its sensors measure more than 40 different, relevant data types, aiming to provide broader field visibility than single-focus IoT devices. The platform helps farmers automate monitoring, improve forecasting and reduce supply chain risk by surfacing onset of blooms, cluster development and crop coloring. Arable positions its data as valuable to farmers and downstream buyers — processors and grocers — for reducing distribution and procurement risk. The company says the capital raised will be used to hire scientists and engineers and to ramp up sensor production. Arable Labs builds the Pulsepod, a professional-grade, solar-powered crop and weather sensor that pairs with cloud software and developer tools. The device is ruggedly designed by Fred Bould and contains a six-band spectrometer, a 4-way net radiometer and an acoustic rain gauge. Each Pulsepod continuously monitors crop growth, rainfall, crop water demand, light and heat levels and crop color to inform harvest timing and yield forecasts. Data are sent to the cloud and accessible via Arable’s app and API for custom forecasting and analysis. Early adopters include Valley Irrigation, Yara International, Francis Ford Coppola Winery, Treasury Wine Estates, Driscoll’s and Blue Marble Microinsurance. Longer term the company says the sensors could be used beyond agriculture for urban flooding, water quality or fire management, though current focus remains on food farmers and reducing food waste.

Led · Series B · Jun 2022

FarmWise develops and deploys autonomous weeding robotics, using AI to scan and tend vegetable crops. The company has operated commercially in California and Arizona and its robots have logged 15,000 commercial hours and captured about 450 million crop scans. FarmWise’s core product is designed to provide cost-effective, sustainable solutions to labor shortages on farms. The new funding will accelerate R&D and the rollout of its existing product to more farmers. CEO Sebastien Boyer emphasized expanding the technology to work with many more farmers amid rising agricultural costs. Fall Line Capital co-founder Clay Mitchell is joining FarmWise’s board as part of the round. FarmWise develops autonomous, AI-enabled farming robots that perform a variety of field tasks beginning with precision weeding and personalized care for individual plants. Its machines use machine learning models, computer vision and high-precision mechanical tools to remove weeds while eliminating chemical inputs. FarmWise reports its robots have removed weeds from more than 10 million plants and says each robot can weed crops sufficient to feed a medium-sized city of roughly 400,000 inhabitants. The company is enhancing the scale and depth of its proprietary plant-detection and actuation technology so robots can monitor plant health and deliver targeted interventions, effectively acting as specialized doctors for crops. FarmWise employs a 25-person team of farming and AI experts drawn from MIT, Stanford and Columbia and recently raised capital to expand engineering, operations and R&D. FarmWise develops adaptive autonomous farming equipment that leverages computer vision, deep learning and plant recognition to perform effective weeding. Its machines aim to replace herbicides, increase yields and adapt to different crops. The company says its machine learning algorithms will enable the systems to adjust to additional farming tasks over time. FarmWise was founded in 2016 by Sebastien Boyer and is based in San Francisco, CA. The company raised $5.7M in seed funding to pilot its first autonomous machines on some of the largest vegetable farms in the US and to expand its engineering team. As part of the financing, inventor Bruce Leak joined FarmWise's board of directors.