Unlock Breakthrough
Chemicals Faster
Powered by AutonomousLab AI
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The Problem
Modern industries rely heavily on traditional, manual chemical innovation
Dozens of chemical domains are applied across virtually any industry. In traditional O&G operations, chemistry plays a vital role - from drilling fluids to corrosion inhibitors in upstream, catalysts in refinery operations, and lubricant additives in formulated products. In energy transition, carbon-capturing liquids and low-emission fuel additives represent just a few critical applications.
Traditional O&G Business
Oil-Based Drilling Fluids
Corrosion Inhibitors
Catalysts for Hydro-Processing
Traditional Lubricant Additives
Energy Transition Business
CO2 Capture
Low-Emission Fuel Additives
Technical Details
Rapidly expanding markets create demand for chemical innovation.
Carbon-capture markets exemplify this growth, expanding 4x over the past decade from ~100 to ~400 million tonnes annually of CO2, fueled by new capital projects worldwide.
CAPEX and OPEX opportunities drive the need for innovation.
Project competition, funding pressures, and economic constraints demand innovation across traditional chemistry and beyond. Advanced modern chemicals significantly reduce both capital and operational expenditures.
High-speed AI-driven innovation of novel materials is required at scale.
Conventional chemical discovery remains slow, expensive, and constrained by human limitations. With millions of compounds awaiting exploration, breakthrough innovations stay concealed—until AI transforms discovery.
An Array of Opportunities
For example, the energy sector relies on a large number of chemical domains with high potential for new material discovery, transforming costs, emissions and maintenance requirements across the supply chain.
Traditional O&G Business
Business as usual
Energy Transition Business
Sustainable Opportunities
Drilling & Completion Fluids
Oil Based Drilling Fluids
Synthetic Lubricants
Recalcitrant Stimulation Chemicals
Corrosion Inhibitors
Scale Inhibitors
Water Based Drilling Fluids
Low Toxicity oil-based Muds
Biodegradable Frecking Chemicals
Production Chemicals
Recalcitrant Emulsifiers
High-Impact Paraffin Inhibitors
Emulsifiers
Biocides
Form Inhibitors
Corrosion Inhibitors
Green Paraffin Inhibitors
EOR Chemicals
Refining Catalysts & Process Chemicals
High-sulfur Refining Catalysts
Non-sustainable hydrocracking agents
Catalysts for Hydro Processing
Fluid Catalytic Cracking (FCC)
Low-carbon Refining Catalysts
Green Hydrogen Production Catalysts
Bio-based Petrochemicals Feedstocks
Recycled Petrochemical Products
Petrochemical Feedstocks
Fossil-fuel-Derived Ethylene & Propylene
Aromatic Hydrocarbons
High Performance Specialty Hydrocarbons
Bio-based Petrochemical Feedstocks
Recycled Petrochemicals Products
Polymer & Specialty Chemicals
Commodity Plastics
Recalcitrant Engineering Plastics
Polyurethane Precursors
Elastomers
Biodegradable Polymers
Water-soluble Polymers
Polymeric Membranes
Formulated Products
Synthetic Motor Oils
Recalcitrant Surfactants
Traditional Lubricating Additives
Detergents & Dispersants
Friction Modifiers
Bio-lubricants
Low-emission Fuel Additives
Sustainable Aviation Fuel (SAF) Additives
Inorganic & Specialty Chemicals
High-emission Industrial Gasses
Rare Earth Extraction for Catalysts
Industrial Gas Separation Tech
CO2 Capture
Greenhouse Gas Reduction Catalysts
Methane Leak Prevention Chemicals
The Complication
A Needle in a Molecular Haystack
Discovering optimal compounds amid millions of molecular combinations is like finding a needle in a haystack. Chemical innovation confronts this stark reality—endless possibilities, limited resources, and researchers stretched beyond capacity in pursuing transformative solutions.
01
Discover New Chemicals with AI
02
Predict Properties and Retrosynthesize
03
Prove in Fully Robotic Laboratory
Milestone 01
Discovering Novel Chemicals
Our expert team has analyzed comprehensive databases of known Ionic Liquids and generated ~400,000 novel theoretical compounds, expanding the pool of candidate molecules by 100x. These compounds are optimized for superior properties, focusing on maximizing CO₂ solubility while minimizing viscosity, desorption energy, and volatility to ensure maximum efficiency and scalability.
While this breakthrough work targets CO₂ capture optimization, our proven methodology extends seamlessly to other chemical domains across multiple industries.
While this breakthrough work targets CO₂ capture optimization, our proven methodology extends seamlessly to other chemical domains across multiple industries.
Pilot
400000
Milestone 02
Predict Properties and Retrosynthesize
Selected candidates demonstrate superior CO₂ solubility and low viscosity compared to industry benchmarks. These candidates underwent further validation using retrosynthesis analysis, computational chemistry modeling, and prediction confidence assessments. Independent validation is ongoing through a partnership with leading computational chemistry institutions in Spain.
This speed and accuracy for identifying superior candidates far surpasses human capability, setting a new benchmark in chemical innovation.
0
Candidates Selected
Milestone 03
Fully Robotic Laboratory
The next step is building a fully automated laboratory that can independently synthesize and test hundreds of chemical formulations and various synthesis paths. Funding and developing an autonomous robotic lab will exponentially increase our testing speed, giving our partners unmatched market agility and a formidable competitive edge.
Introducing AutonomousLab AI
Our platform identifies high-performing materials that create immediate operational and financial impact for energy companies.
Infinite Potential
Automotive & Transportation
Thousands of
Applications
Applications
"This project positions Azerbaijan at the forefront of global scientific innovation. By integrating cutting-edge AI with practical chemistry applications, we're developing timely, impactful research with international significance. This collaboration with leading universities contributes meaningfully to the global scientific community while cultivating a new generation of Azerbaijani talent prepared to lead."
Azad Huseynov
CEO Caspian AI Institute, CDO SOCAR, Azerbaijan
Common Questions
Frequently Asked Questions
Get the answers you need. Browse our FAQs for more information about AutonomousLab AI.
What is the goal of the AutonomousLab AI project?
To build an AI-driven platform that autonomously discovers and synthesizes new chemicals, beginning with carbon capture materials, while expanding Azerbaijan's presence in advanced scientific research.
Why is this project important for Azerbaijan?
It positions Azerbaijan as a leader in scientific AI, supports national decarbonization goals, and develops homegrown talent in frontier technologies.
How does the AI technology work in this project?
AI models generate and evaluate new molecules, predict their properties, and propose synthesis methods. Results are validated through partnerships with international laboratories.
Who are the project’s collaborators?
The project collaborates with international universities, including URV in Spain, and leverages global best practices from institutions like UC Berkeley.
What's next for AutonomousLab AI?
The next phase involves building a fully automated robotic laboratory in Azerbaijan and expanding into additional chemical domains with industrial applications.
Our Solutions
Accelerating Material Discovery with BCG
