Albert Invent

Albert Invent is an artificial intelligence (AI) powered platform designed specifically for chemistry and materials science research and development (R&D). It uses proprietary foundational models trained on a massive dataset of over 15 million chemical structures. Albert Invent combines structured data with advanced AI to offer insights and predictions at the molecular level, including real-time toxicology predictions during chemical formulation. It is an end-to-end solution that replaces multiple, disjointed systems, streamlining workflows for chemists and accelerating the innovation process.

Key Features:

1. Unified R&D Platform

   🥼: Albert Invent integrates Electronic Lab Notebook (ELN), Laboratory Information Management System (LIMS), AI/Machine Learning (ML) models, and automated safety data sheet (SDS) generation into one platform. This consolidation creates a seamless flow of information, breaking down silos in the R&D process.

2. AI-Powered Formula Prediction

   💡: Albert Invent's specialized AI, trained on chemical data, suggests formula and experimental candidates. This feature helps scientists optimize formulations and speeds up experiments, reducing time to market.

3. Real-Time Toxicology Predictions

   ⚠️: During the formulation process, Albert Invent provides immediate toxicology predictions. Access to this data allows for safer and more sustainable product development from the outset.

4. Inventory Management

   📦: Albert Invent offers a robust inventory system that tracks materials across multiple locations, provides alerts for low stock, and integrates with LIMS and ELN to track usage. This precise tracking helps maintain accurate inventory and aids global collaboration among teams.

5. Regulatory Compliance Automation

   📜: Albert Invent helps generate GHS-compliant SDSs and labels quickly. Regulatory reporting becomes simplified, which enables faster product shipment and market entry.

6. Extensive Materials Database

   📚: Access a pre-populated database with information on over 85,000 raw materials, 350,000 substances, and 10 million regulatory data points. This comprehensive resource streamlines material selection and ensures compliance with various regulations.

Use Cases:

1. New Product Development in Coatings:

   A coatings company needs to develop a new, environmentally friendly paint. Researchers use Albert Invent to predict formulations that meet performance targets while minimizing environmental impact. Albert Invent's AI suggests formulations, and its real-time toxicology predictions ensure the new product adheres to safety standards. The integrated ELN and LIMS features help the team document experiments and manage data efficiently.

2. Material Substitution in Adhesives:

   An adhesives manufacturer faces a supply chain disruption for a key raw material. The R&D team leverages Albert Invent's inventory management and AI-driven recommendations to find a suitable replacement. The platform identifies alternatives based on chemical structure and properties, allowing the team to quickly reformulate and test new adhesive products, minimizing downtime and maintaining product quality.

3. Global Regulatory Compliance for a Chemical Supplier:

   A global chemical supplier must comply with diverse regulations across different regions. With Albert Invent, the company automates the generation of SDSs and labels, ensuring compliance with local regulations. The platform's regulatory reports feature helps the team stay informed about various regulatory properties, such as Prop 65 and SNURs. This automation and access to regulatory data allow the company to confidently ship products worldwide, meeting all necessary compliance requirements.

Conclusion:

Albert Invent offers a comprehensive and powerful solution for modern materials science R&D. Integrating advanced AI capabilities, inventory management, and regulatory tools into a unified platform accelerates innovation, improves efficiency, and ensures compliance. Chemists and R&D teams should consider Albert Invent to streamline workflows, enhance collaboration, and bring new products to market faster and more safely.

FAQs

1. What kind of data was used to train Albert Invent's AI models?

   Albert Invent's AI models were trained on a dataset of over 15 million chemical structures from past experiments. This includes molecular-level data used in chemical formulations, providing a robust foundation for accurate predictions.

2. How does Albert Invent improve collaboration among R&D teams?

   Albert Invent integrates ELN, LIMS, and inventory management features, creating a unified platform for R&D data. This centralized system allows teams to share knowledge, track experiments, and collaborate effectively, regardless of their geographical location.

3. Can Albert Invent help with regulatory compliance in different countries?

   Yes, Albert Invent provides access to regulatory data for over 20 regions and languages. It can generate GHS-compliant SDSs and labels, helping companies comply with various international regulations and facilitate global product distribution.

4. What level of security does Albert Invent offer for sensitive R&D data?

   Albert Invent is ISO 27001 and SOC II-certified and complies with GDPR and GxP/CFR 21 Part 11 regulations. These certifications demonstrate the platform's commitment to maintaining the highest standards of information security and data protection.

5. How does the AI-powered formula prediction work in Albert Invent?

   Users provide target properties or performance goals to the platform. Albert Invent's AI then analyzes the input and suggests formula candidates and experimental designs. As more data is collected from experiments, the AI refines its predictions, continuously improving its accuracy and effectiveness.