Founder/CEO
Albert Invent
Albert provides an AI-native operating system for chemical and materials science R&D, integrating electronic lab notebooks, sample management, and AI-driven formulation optimization into a single cloud platform. Its chemistry-native Valence model is 45x more accurate than general-purpose AI at retrieving correct answers to scientific queries, and the "Ask Albert" natural language interface lets scientists design experiments and run complex data analysis. The platform is deployed across global enterprises including AkzoNobel, BASF, Chemours, and Henkel.
- Chemical Technology
- Artificial Intelligence
- AI Agents
- New Materials
- Software Only
- Data & Analytics
- Enterprise Software
Updated 9 days ago
Funding
Raised to date
$105MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 4 rounds
+7$55M · Series B
Announced Oct 2026
Disclosed cumulative: $105M
4/4
RoundDateAmountValuationInvestors
Founders
Product
Problem
Chemical and materials science R&D often suffers from siloed data, disconnected workflows, and a lack of AI-driven tools, hindering innovation and slowing down product development cycles. Traditional methods rely on disparate electronic lab notebooks (ELNs) and laboratory information management systems (LIMS), creating inefficiencies and limiting collaboration.
Solution
Albert is a unified, end-to-end cloud platform designed to streamline research and development in the chemical and materials science industry. It integrates ELN, LIMS, and AI-driven formulation optimization into a single environment, fostering collaboration and accelerating innovation. The platform's chemistry-native AI, including the Valence model, is trained to discriminate chemical composition and function the way an experienced chemist would, enabling accurate answers to complex scientific queries. Scientists interact through natural language via "Ask Albert," which orchestrates tools, agents, and models to surface institutional knowledge, suggest formulation candidates, design experiments, and run complex data analysis. By digitalizing workflows and providing AI tools for every chemist, Albert enables faster experimentation, optimized formulations, and reduced product design iterations.
Target Audience
Albert is designed for chemists, materials scientists, and R&D teams in the chemical and materials science industry, particularly those in global enterprises seeking to accelerate innovation and improve R&D efficiency. The platform serves organizations such as AkzoNobel, Avient, BASF, Chemours, Clorox, Henkel, Kenvue, and Nouryon.
Features
- Integrated electronic lab notebook (ELN) for experiment documentation and data capture
- Laboratory information management system (LIMS) for sample tracking and inventory management
- Chemistry-native AI model "Valence" that is 45x more accurate than general-purpose AI at retrieving correct answers to scientific queries
- "Ask Albert" natural language interface that orchestrates tools, agents, and models to accelerate invention and run complex data analysis
- FormBench benchmark for evaluating AI performance in formulation chemistry
- Automated Safety Data Sheet (SDS) generation for regulatory compliance
- Zero data retention, fine-grained access controls, and reasoning audit trails for enterprise security and governance
- Excel-like, connected command center for centralized project, material, and experiment management