Beyond Testing.
Into Bio-intelligence.
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Tech stack powering Bio-intelligence
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A Nobel-Prize backed biological model with pathways relevant to human biology.
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Fast, ethical and predictive for screening bioactives.
C. elegans
Microfluidic automation
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Chips maintain age-matched worm populations and deliver standardized diets with nutritional bioactives.
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High throughput with multiplexed imaging of worms in chips.
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Computer vision tracks movement, survival, behavior, gut leakiness and more - frame by frame.
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Multiple trained AI models deliver quantitative, unbiased measures.
Visual AI
Discovery Flywheel™ - Rapid in vivo phenotyping across six health domains
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Efficacy readouts across six health domains
Dose optimization with clinical relevance
Side-by-side comparison vs industry benchmarks
BioSēq™ - In vivo transcriptomics for mechanism discovery and signals for claims
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Genes, pathways and tissues using worm-to-human ortholog mapping
Mechanisms linked to observed efficacy
Guidance for differentiated claims and clinical trials
Step 1
Discovery Program Goals
Define target health benefits and human-relevant doses
An end-to-end discovery engine for unlocking benefits, differentiated claims and market positioning
Step 4
Triangulate data and insights
Align efficacy and mode-of-action to doses
Step 2
Run Flywheel
Quantify efficacy across six health domains and assess signal strength
Step 5
Decide and Advance
Differentiated claims, IP. marketing materials-confidently
Step 3
Trigger BioSeq
Explain mechanisms behind efficacy, and formulate an MoA