Large scale two year in-vivo trial
Alphabiome validated its AI technology for predicting drug and feed additive response and efficacy in the largest animal microbiome trial conducted globally (2022-2024)
AI-powered microbiome engine deciphers and genrates actionable insights on the entire microbiome.
30,000 dairy cows in dozens of commercial farms. Depth of over 50 metrics monitored including microbiome quality, health, productivity and reproduction traits
Field validation projects conducted across 4 continents – Israel, the U.S, Europe and Australia – confirming the universal accuracy of our microbiome predictions.
Optimized additive response generated over $300 in additional annual revenue per cow through improved productivity and consistency.
AI-powered microbiome engine deciphers and genrates actionable insights on the entire microbiome.
30,000 dairy cows in dozens of commercial farms. Depth of over 50 metrics monitored including microbiome quality, health, productivity and reproduction traits
Field validation projects conducted across 4 continents – Israel, the U.S, Europe and Australia – confirming the universal accuracy of our microbiome predictions.
Optimized additive response generated over $300 in additional annual revenue per cow through improved productivity and consistency.
Trial Design
Microbiome samples were collected from a representative group of cows within each herd.
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21/11/2025
New peer-reviewed publication: Alphabiome.ai AI Model Proven in Large-Scale Dairy Study
Our AI model, predicting the efficacy of an allicin-based essential oil for methane reduction, was peer-reviewed in Frontiers. The study validated our approach in 339 dairy cows on ten commercial farms.
20/04/2025
Alphabiome.ai Validates AI Model for Methane Emission Prediction
“All About Feed” reports on how Alphabiome.ai successfully forecasts the methane emission reduction efficacy of feed additives
15/04/2025
Alphabiome.ai Peer-Reviewed Study Published
Frontiers in Sustainable Food Systems spotlights our AI-powered microbiome model. Tested across 13 farms, it accurately predicts where feed additives reduce methane most effectively.
Alphabiome.ai Whitepaper
In an era of increasing pressure to achieve sustainable agriculture, the optimization of livestock feed for enhancing yield and minimizing environmental impact is a paramount objective.
31/10/2024
Revolutionary tech helps dairy farms cut methane emissions, lift production
A revolutionary technology aiming to help dairy and beef farms cut methane emissions and increase production will be trialled on two Australian farms.
09/08/2024
Prescription use of methane mitigating feed additives to triple impact with Yaniv Altshuler
In this episode of Ash Cloud I speak with Yaniv Altshuler who is using his 20 plus years of experience at innovating #artificialintelligence at Massachusetts Institute of Technology to predict the response of the the rumen microbiome to methane mitigating feed additives and then prescribe the additive that will be most impactful at that point in time.
18/10/2024
Metha.ai Launches AI Solution to Reduce Livestock Methane Emissions
New AI-driven platform enables Australian farmers to cut cattle methane emissions through optimized feed strategies.
10/02/2025
Alphabiome.ai’s Carbon Credits Project
Alphabiome.ai is developing a Verra-aligned carbon credits project to help U.S. dairy farmers cut methane emissions and earn income using AI-driven microbiome analytics.
31/10/2024
Metha.ai Trials AI Solution on Australian Dairy Farms
Innovative AI-driven system identifies optimal feed additives to help Australian dairy herds reduce methane emissions.
29/12/2023
Cows Burp. What Do You Do About It?
In some of my past posts, I’ve talked about some of the experts presenting the science on methane – and were waking up to the idea that controlling methane is going to be super-important for preserving the environment and mitigating climate change.
Trial Results
Microbiome based genetic biomarkers were shown to predict differential in vivo responses to 5 leading commercial feed additives. Linking microbial biomarkers with additive efficacy enabled development of a framework to identify optimal additive performance under specific herd conditions.
The examined feed additives aim to improve yield and reduce emissions in dairy cows, yet responses vary widely. The absence of predictive biomarkers limits reproducibility and confidence, underscoring the need for validated microbiome-based frameworks to guide additive selection.
A 24-month in vivo controlled and double-blind study across 25 farms and 30,000 cows confirmed that Alphabiome’s proprietary microbiome based biomarkers accurately forecast additive performance. Biomarker-guided treatment tripled observed efficacy, validating model robustness and scalability.
Microbiome based genetic biomarkers were shown to predict differential in vivo responses to 5 leading commercial feed additives. Linking microbial biomarkers with additive efficacy enabled development of a framework to identify optimal additive performance under specific herd conditions.
The examined feed additives aim to improve yield and reduce emissions in dairy cows, yet responses vary widely. The absence of predictive biomarkers limits reproducibility and confidence, underscoring the need for validated microbiome-based frameworks to guide additive selection.
A 24-month in vivo controlled and double-blind study across 25 farms and 30,000 cows confirmed that Alphabiome’s proprietary microbiome based biomarkers accurately forecast additive performance. Biomarker-guided treatment tripled observed efficacy, validating model robustness and scalability.
