MoA Technology is developing a new generation of herbicides using proprietary data and AI-driven methods to enhance the discovery process of both synthetic and biological solutions. This approach addresses the issue of weed resistance, which threatens global food security and biodiversity, by providing farmers with effective and affordable tools to protect their crops.
Funding
$103.3M raised to dateRaised 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.
Founders
Product
Problem
The increasing prevalence of herbicide-resistant weeds poses a significant threat to global food security, biodiversity, and climate, requiring farmers to seek new and effective weed control solutions. Existing herbicides are becoming less effective, leading to crop losses and increased costs for farmers.
Solution
MoA Technology is developing a new generation of herbicides to combat herbicide resistance using a proprietary data platform and AI-driven methods to accelerate the discovery of both synthetic and biological solutions. The company's approach combines its own intellectual property, scientific platforms, and extensive proprietary data, leveraging artificial intelligence and machine learning to identify novel modes of action. These new herbicides are designed to provide farmers with affordable and effective tools to protect their harvests and address the growing challenge of weed resistance. MoA Technology's herbicides have demonstrated promising results in international field trials, exceeding the performance of commercially available herbicides in controlling tough grasses and broadleaf weeds.
Target Audience
The primary target audience includes farmers, agricultural companies, and other stakeholders in the crop protection industry seeking innovative solutions to combat herbicide-resistant weeds and improve crop yields.
Features
- Proprietary data platform integrating diverse datasets relevant to herbicide discovery
- AI and machine learning algorithms to identify novel herbicide candidates and predict their efficacy
- Focus on discovering new modes of action to overcome existing herbicide resistance mechanisms
- Development of both synthetic and biological herbicides to provide a range of solutions
- International field trials to validate the performance of new herbicides against a variety of weed species