Polysaccharide Data Layer
Natural polysaccharide resources, source taxonomy, structural features, extraction processes, physicochemical properties, quality markers, function labels, microbiome response and application scenarios.

AI4Glyco integrates proprietary polysaccharide data, AI prediction models, microbiome validation, quality control and industrial delivery into a closed-loop platform for functional ingredient innovation.
DataModelLoopThe four-layer architecture presents Data -> Model -> Validation -> Delivery.
Natural polysaccharide resources, source taxonomy, structural features, extraction processes, physicochemical properties, quality markers, function labels, microbiome response and application scenarios.
Polysaccharide feature encoding, microbiome response prediction, activity-function association, candidate ranking, formulation optimization and multimodal foundation models.
Synthetic communities, anaerobic co-culture, high-throughput screening, metabolomics/sequencing, functional evaluation and data feedback.
CRO services, SaaS/DaaS, quality control, industrial technology packages, product pipelines and IP licensing.
The platform matrix presents capabilities, R&D maturity and commercial delivery boundaries.
The platform entry point connecting data, models, validation and industrial delivery.
Captures source, structure, extraction process, physicochemical properties, function labels, microbiome response and use cases.
Prioritizes candidate polysaccharide ingredients based on target functions and application scenarios.
Predicts potential effects of polysaccharides on key strains, metabolites and microbiome functional labels.
Validates AI predictions through SynComs, anaerobic co-culture, high-throughput screening, sequencing and metabolite readouts.
Recommends polysaccharide combinations and formulation strategies for probiotics, synbiotics, functional food and skincare.
Builds molecular weight distribution, monosaccharide composition, physicochemical fingerprints, activity labels and batch stability evaluation.
Converts experimental data, analysis charts and industrial recommendations into standardized client reports.
A pretraining model for polysaccharide structure, functional labels, microbiome response and industrial applications.
Connects AI recommendations, automated wet-lab validation, feedback data and model iteration.
AI4Glyco combines co-culture models, high-fidelity anaerobic validation, multi-omics research and microbiome-based quality control into its core technical barrier.

AI4Glyco connects a polysaccharide resource library, SynCom interaction platform, multi-omics readout, automated wet-lab validation and industrial recommendations.

Polysaccharide screening, in vitro co-culture, microbiome sequencing, metabolite testing, functional validation guidance and technical reports.

Candidate prioritization, functional label matching, application scenario mapping and next-step validation design.

Polysaccharide-strain combination logic, formulation recommendations, validation experiment design and differentiated claim support.
Target partner segments cover customer types, application scenarios and joint R&D directions across animal health, ecological farming, green planting and marine bio-resources.

For premium pet food, nutrition, large livestock and feed groups, AI4Glyco supports antibiotic-alternative farming, pet gut microbiome modulation, natural polysaccharide feed additives and polysaccharide-probiotic formulations.
Wens Foodstuff
Muyuan Foods
Gambol Pet
China Pet Foods
Zoetis



For green agrochemicals, biofertilizers, plant hormones, soil amendments and marine resource companies, AI4Glyco supports plant resistance inducers, natural polysaccharide fertilizers, marine polysaccharide upgrading and sustainable natural ingredient development.
Syngenta
MoonBiotech
BMSG
IFF

Around target functions, candidate ingredients, strain combinations and product directions, the platform delivers candidate lists, validation design, quality-control indicators and industrial translation recommendations.