At Simreka, we are committed to building and deploying Artificial Intelligence (AI) systems that are safe, transparent, and aligned with the values of scientific integrity, sustainability, and ethical innovation.
As a leader in AI-powered virtual experimentation and chemical/material innovation, our solutions—such as the ChemAssist LLM and our Virtual R&D Platform—are designed to empower organizations to accelerate product development while maintaining the highest standards of responsibility and trust.
Our Responsible AI Principles
Transparency & Explainability
We ensure that our AI models and outputs—especially those influencing formulation and process decisions—are interpretable, traceable, and auditable. Simreka provides clear documentation and interfaces that enable users to understand how recommendations are generated.Data Privacy & Security
All customer data—including proprietary R&D, formulations, and historical records—are treated with the utmost confidentiality. Our platform supports on-premise deployments and secure integration with customer systems to ensure complete data control and regulatory compliance.Human Oversight
Our AI acts as a scientific co-pilot, not a replacement for expert judgment. All decisions remain under the guidance of trained scientists, formulators, and process engineers.Bias Mitigation & Scientific Integrity
We continuously monitor and evaluate our AI models to minimize any form of bias. Our training datasets are curated to reflect a diverse and high-quality range of scientific, industrial, and regulatory knowledge.Sustainability by Design
Simreka’s AI actively supports green chemistry principles and sustainability objectives—by recommending eco-friendly substitutes, optimizing resource usage, and minimizing environmental impact in formulation design.Continuous Learning & Feedback
Our AI systems are designed to improve continuously through user feedback, rigorous validation, and updates based on the latest scientific literature and industrial trends.
Our Commitment
Simreka pledges to uphold responsible AI practices across the lifecycle of our products—from data ingestion and model development to deployment and usage. We engage with our customers, partners, and the scientific community to evolve our policies and practices in alignment with emerging standards in Responsible AI.