Best AI for Chemistry

First AI-native PLM platform built specifically for the Chemical Industry.

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What is ChemCopilot?

ChemCopilot is an AI-driven platform purpose-built for the chemical industry, designed to accelerate product development and streamline R&D decision-making.

By integrating directly with LIMS, EHS, ERP, and other critical systems and data, we deliver end-to-end traceability that drives faster, more profitable, and truly sustainable innovation.

ChemCopilot: Digital Transformation

Traditional Challenges

The Formula Crisis

#REF! | !ERROR

Data Silos

ERP

XLS

SharePoint

+ thousand others

Compliance Risk

SDS

PDS

SPEC

High Cost and Time

ChemCopilot AI

Single Source of Truth

Formulation Module

✓ Version Locked

Ingredients Database

Properties & Specifications

Quality Metrics

Structured Data Ingestion

Notes

→

AI/OCR

→

Structured

+247 New Records

Predictive Compliance

Global Compliance

✓ REACH

✓ TSCA

✓ GHS

ZERO Violations

2-3x Faster Process

99.8%

Accuracy

2.3s

Response

Live

Status

From solving formulations to a CATALYST
for your entire R&D and Compliance workflow.

Research

Development

Testing

Compliance

Production

ChemCopilot Solution: PLM AI-Enabled

ChemCopilot Carousel

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How It Works - AI Formulation

How It Works?

Capture Requirements

Define formulation specifications, performance targets, and establish sustainability parameters.

AI-Driven Design

Leverage computational modeling and virtual testing to predict formulation behavior.

AI-Powered Insights

Analyze results, refine designs based on feedback, and continuously improve accuracy.

Business Impact

Achieve faster time-to-market with enhanced quality and regulatory compliance.

Capture Requirements & Validate Outcomes

Define formulation specifications and constraints
Set performance targets and regulatory requirements
Establish sustainability and cost parameters

AI-Driven Formulation Design & Simulation

Computational Modeling

Ingredient property analysis and behavior prediction
Performance metric simulation (color, viscosity, stability)
Virtual testing reduces physical prototyping time

AI-Powered Interpretation & Insights

Analyze simulation results against real laboratory data
Refine designs based on performance feedback
Continuous learning improves prediction accuracy

Measurable Business Impact

2-3x Faster Time-to-Market

Accelerated development cycles through intelligent automation

Enhanced Quality

Contextualized data capture and knowledge retention

Regulatory Compliance

Automated adherence to sustainability and safety requirements

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PLM - AI Built for:

Accelerate formulation development and manage complex versioning workflows with AI. ChemCopilot helps R&D teams design, test, and iterate formulations faster by automatically checking regulatory constraints, optimizing raw material choices, and tracking changes across multiple product versions—all in one connected platform.
Say goodbye to disconnected spreadsheets and slow label approvals. ChemCopilot automates the validation of product labels, ingredient restrictions, and safety data sheets according to region-specific regulations. Get real-time alerts, audit trails, and ensure compliance with REACH, TSCA, EPA, and other global frameworks without delays.
Track and reduce your environmental impact with precision. ChemCopilot calculates Scope 1, 2, and 3 carbon emissions for each formulation or batch, providing granular insights into raw material footprints, production processes, and packaging. Monitor ESG indicators in real time and support sustainable decision-making across the product lifecycle.
- Cosmetics: Accelerate clean beauty innovation and streamline INCI compliance.
- Pharmaceuticals: Improve traceability, version control, and regulatory readiness.
- Agrochemicals: Manage toxicology data, regulatory submissions, and environmental claims.
- Food & Beverage: Ensure label accuracy, allergen tracking, and CO₂ footprint transparency.
- Coatings & Specialty Chemicals: Handle complex formulations, VOC limits, and sustainability metrics with ease.
- Battery Recycling & Circular Chemistry: Track chemical recovery, lifecycle data, and compliance in emerging sustainability-driven processes.

Process Intensification Leveraged by AI

Avoid Data Silos and Lack of Context:

Data is often siloed in lab notebooks, spreadsheets, or separate systems, limiting a holistic view of the formulation process. Key context, like sustainability goals, regulations, and costs, is frequently missing, hindering informed decision-making.
Overcome Limited Predictive Power and AI Integration

Traditional tools lack the structured data format and advanced analytics capabilities needed to leverage AI and machine learning effectively. This restricts the ability to gain deep insights, predict formulation properties, and optimize formulations for desired characteristics, including critical sustainability parameters.
Sustainability Expertise Gap:

Most companies lack access to comprehensive sustainability data and the expertise to interpret it effectively. Traditional tools offer little support in navigating the complexities of sustainability regulations and optimizing formulations for environmental impact.