Move beyond the limitations of animal models and legacy assays. DeepCyte's AI-powered Single-Cell Metabolomics identifies drug toxicity with 94% accuracy, providing actionable mechanistic insights at sublethal concentrations.
In today's high-stakes pharmaceutical landscape, 9 out of 10 drugs fail to reach the market. The primary "silent saboteur" is toxicity, which accounts for 30% of all program terminations. These failures represent a staggering $2.6 billion gamble that typically ends in a "no" because existing tools provide data that is too shallow, too late, and lacks mechanistic explanation.
DeepCyte is bridging this resolution gap. Our proprietary single-cell metabolomics technology — refined through 10+ years of R&D — offers 1,000× the information content of conventional molecular methods. Complementing and outperforming legacy assays and other predictive tools, DeepCyte builds AI to predict and explain exactly how a drug causes toxicity at the cellular level.
We provide the "why" behind every prediction, identifying toxicity mechanisms following the Adverse Outcome Pathways framework.
Detect molecular shifts at sublethal concentrations, allowing you to identify and deconvolve co-existing toxicity types triggered by the same compound long before they manifest as cytotoxicity or clinical features.
Request the Technical Demo today to see how DeepCyte identifies concurrent toxicity mechanisms at sublethal concentrations.
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Drug development faces a crisis. Despite billions invested, most compounds fail — and toxicity is the silent killer.
of drugs entering clinical trials never reach patients
of failures are linked to safety concerns discovered too late
in R&D funding lost per program due to toxicity failures
Our AI reveals the biological "why" behind every toxicity prediction — delivering mechanistic insight, not just a risk score.
Our AI detects shifts in metabolic markers and connects predictions to their biological causes.
Identify toxicity at concentrations before they become lethal, catching problems earlier in development.
Two revolutionary platforms working in concert to transform drug safety prediction
High-throughput platform processing 100,000+ cells from 100+ samples in under 10h. Best in class in reproducibility, coverage, throughput.
Single-cell mechanistic AI delivering unprecedented insights into toxicity mechanisms.
See the advantages of AI-powered single-cell metabolomics.
