Decode Toxicity. Accelerate Discovery. With AI.

Decode Toxicity. Accelerate Discovery. With AI.

Decode Toxicity. Accelerate Discovery. With AI.

AI-driven in-silico toxicity testing for drug scaffolds.

WE POWER YOUR DISCOVERY

"We analyze cellular phenotypes, decode complex biological signatures, and predict precise toxicological outcomes with AI. And yes – our predictions hold up in the lab."

SERVICES

Smarter Biology, Built with AI

Smarter Biology, Built with AI

Everything labs need to accelerate discovery, validate toxicity, and streamline drug approval.

Cost Management

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Employee Tracking

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Cellular Phenotype Analysis

Upload cellular images to quickly quantify cell viability, apoptosis, ROS, and more.

Cost Management

Payment reminder

Employee Tracking

Social media post

Cellular Phenotype Analysis

Upload cellular images to quickly quantify cell viability, apoptosis, ROS, and more.

Cost Management

Payment reminder

Employee Tracking

Social media post

Cellular Phenotype Analysis

Upload cellular images to quickly quantify cell viability, apoptosis, ROS, and more.

Predictive Toxicity Sandbox

Test and refine drug toxicity predictions interactively using molecular structures (SMILES).

Predictive Toxicity Sandbox

Test and refine drug toxicity predictions interactively using molecular structures (SMILES).

Predictive Toxicity Sandbox

Test and refine drug toxicity predictions interactively using molecular structures (SMILES).

Research anything...

Research

Software & App Industry

UX & UI Design Industry

High Converting Customer

Clinical Trial Intelligence

Analyze ongoing clinical trials to predict drug outcomes and market performance.

Research anything...

Research

Software & App Industry

UX & UI Design Industry

High Converting Customer

Clinical Trial Intelligence

Analyze ongoing clinical trials to predict drug outcomes and market performance.

Research anything...

Research

Software & App Industry

UX & UI Design Industry

High Converting Customer

Clinical Trial Intelligence

Analyze ongoing clinical trials to predict drug outcomes and market performance.

Code

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class DrugViabilityModel:
def __init__(self, drug_name, viability_threshold):
self.drug_name = drug_name
self.viability_threshold = viability_threshold
self.outcome = None
def predict_viability(self, feature_score):
if feature_score >= self.viability_threshold:
self.outcome = "Viable"
return f"{self.drug_name}: Passed viability assessment."
else:
self.outcome = "Not Viable"
return f"{self.drug_name}: Failed viability assessment."
def current_status(self):
return f"{self.drug_name} Status: {self.outcome}"

Financial Modeling

Evaluate biotech companies’ financial health and investment potential using AI-driven models.

Code

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class DrugViabilityModel:
def __init__(self, drug_name, viability_threshold):
self.drug_name = drug_name
self.viability_threshold = viability_threshold
self.outcome = None
def predict_viability(self, feature_score):
if feature_score >= self.viability_threshold:
self.outcome = "Viable"
return f"{self.drug_name}: Passed viability assessment."
else:
self.outcome = "Not Viable"
return f"{self.drug_name}: Failed viability assessment."
def current_status(self):
return f"{self.drug_name} Status: {self.outcome}"

Financial Modeling

Evaluate biotech companies’ financial health and investment potential using AI-driven models.

Code

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class DrugViabilityModel:
def __init__(self, drug_name, viability_threshold):
self.drug_name = drug_name
self.viability_threshold = viability_threshold
self.outcome = None
def predict_viability(self, feature_score):
if feature_score >= self.viability_threshold:
self.outcome = "Viable"
return f"{self.drug_name}: Passed viability assessment."
else:
self.outcome = "Not Viable"
return f"{self.drug_name}: Failed viability assessment."
def current_status(self):
return f"{self.drug_name} Status: {self.outcome}"

Financial Modeling

Evaluate biotech companies’ financial health and investment potential using AI-driven models.

Mechanism-Driven Reporting

Receive clear, biology-backed reports summarizing toxicity mechanisms and regulatory alignment.

Mechanism-Driven Reporting

Receive clear, biology-backed reports summarizing toxicity mechanisms and regulatory alignment.

Mechanism-Driven Reporting

Receive clear, biology-backed reports summarizing toxicity mechanisms and regulatory alignment.

PROCESS

Our Simple & Powerful Approach

Our Simple & Powerful Approach

Three clear steps to accelerate your lab's drug discovery using predictive biology and AI.

STEP 1

STEP 2

STEP 3

01

Submit Biological Data

Upload your experimental datasets—including gene expression profiles, molecular structures, or phenotypic assays—into a secure, intuitive platform designed for biological analysis.

STEP 1

STEP 2

STEP 3

01

Submit Biological Data

Upload your experimental datasets—including gene expression profiles, molecular structures, or phenotypic assays—into a secure, intuitive platform designed for biological analysis.

STEP 1

STEP 2

STEP 3

01

Submit Biological Data

Upload your experimental datasets—including gene expression profiles, molecular structures, or phenotypic assays—into a secure, intuitive platform designed for biological analysis.

OUR AMAZING TEAM

Get to Know Us

Get to Know Us

The scientists and engineers pioneering AI-driven toxicity testing.

Edward Sun

Chief Executive Officer

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Edward Sun

Chief Executive Officer

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Edward Sun

Chief Executive Officer

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Udit Verma

Chief Technology Officer

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Udit Verma

Chief Technology Officer

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Udit Verma

Chief Technology Officer

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Kyle Roh

Chief Science Officer

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Kyle Roh

Chief Science Officer

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Kyle Roh

Chief Science Officer

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Reach out anytime

Ready to Accelerate Discovery
Let’s
Predict, Validate, and Innovate Together.

Reach out anytime

Ready to Accelerate Discovery
Let’s
Predict, Validate, and Innovate Together.

Reach out anytime

Ready to Accelerate Discovery
Let’s Predict, Validate, and Innovate Together.

© 2025 Toxico

© 2025 Toxico