M
Isolated material metrics
Capacity and selectivity alone do not reliably predict performance inside an industrial capture cycle.
AI & DIGITALIZATION · ENERGY & SUSTAINABILITY
Turn carbon-capture data into pilot-ready decisions.
Physics-informed software for material, process, and site optimization in industrial carbon capture.
CapturePath AI connects material intelligence, cyclic-process simulation, AI optimization, site infrastructure, techno-economics, and life-cycle assessment in one engineering workflow.
MaterialIntelligence
ProcessSimulation
SiteOptimization
TEA / LCADecision Support
01 Material data
02 Process model
03 Deployment decision
THE CHALLENGE
Carbon-capture development is still fragmented.
Promising materials can lose their advantage when real cyclic operation, humidity, regeneration energy, economics, and site conditions are considered.
↔
Siloed workflows
Screening, simulation, optimization, TEA, and LCA are often handled with disconnected tools.
C
Cyclic performance gap
Kinetics, water affinity, pressure drop, heat capacity, and regeneration can change the ranking of a material.
◎
Location blind spots
Local utilities, waste heat, grid carbon intensity, and CO₂ infrastructure shape the deployment decision.
THE PLATFORM
One engineering workflow from emission source to pilot recommendation.
CapturePath AI connects decisions across the carbon-capture development chain.
01Emission
Source
Source
→
02Material
Intelligence
Intelligence
→
03Process
Simulation
Simulation
→
AIOptimization
→
04Site &
Infrastructure
Infrastructure
→
05TEA &
LCA
LCA
→
06Pilot
Recommendation
Recommendation
CORE CAPABILITIES
Integrated intelligence for better carbon-capture decisions.
Move beyond lab-only rankings. Evaluate the material inside the process, under the source conditions, at the location where deployment matters.
- Define industrial source profiles
- Upload and standardize capture-material data
- Simulate cyclic capture processes
- Optimize operating conditions
- Compare technical and economic performance
- Evaluate local utilities and infrastructure
- Identify missing experimental data
- Generate engineering decision reports
HOW IT WORKS
A guided six-step engineering workflow.
From raw source and material data to a decision package ready for validation and pilot planning.
Define emission source
Gas flow rate, temperature, pressure, humidity, CO₂ concentration, impurities, purity target, and capture rate.
Upload material data
CO₂/N₂/H₂O isotherms, kinetics, adsorption heat, cyclic stability, and material cost.
Select & simulate
Evaluate PSA, VSA, TSA, or hybrid cycles through physics-informed cyclic simulation.
Optimize conditions
Optimize cycle times, pressure levels, bed geometry, heating strategy, and competing objectives.
Evaluate location
Consider energy and water costs, waste heat, grid carbon intensity, weather, and CO₂ infrastructure.
Generate decision report
Receive recommended material/process options, KPIs, equipment sizing, TEA/LCA, and pilot requirements.
FIVE INTEGRATED MODULES
Built for end-to-end carbon-capture optimization.
Each module answers a different deployment question, while sharing one decision workflow.
Material Intelligence
Turn raw material measurements into process-relevant inputs and defensible rankings.
- Capture-material database
- Isotherm & kinetic-data treatment
- Confidence scoring
- Missing-data identification
- Process-informed ranking
CaptureCycle
Simulate and optimize cyclic adsorption processes under realistic feed and operating conditions.
- Cyclic-process simulation
- Operating-condition optimization
- Bed/cycle comparison
- Sensitivity & uncertainty
- Multi-objective Pareto analysis
GeoCapture
Bring the site into the capture decision using location-specific infrastructure intelligence.
- Facility-location mapping
- Energy & water assessment
- Waste-heat availability
- CO₂ infrastructure proximity
- Source-to-sink comparison
Carbon Economics
Translate technical performance into preliminary cost and environmental decision metrics.
- CAPEX & OPEX estimation
- Cost per tonne captured/avoided
- Sorbent-replacement cost
- Water intensity
- Life-cycle emissions
PilotReady
Convert optimized performance into the engineering information needed to plan validation.
- Sorbent mass requirements
- Bed dimensions & count
- Heater & vacuum duty
- Preliminary configuration
- Automated engineering report
INDUSTRIAL APPLICATIONS
Designed for carbon-intensive sectors where source conditions matter.
01
Refining & Petrochemicals
Evaluate capture options across complex industrial gas streams and utility environments.
02
Cement & Steel
Screen material-process combinations for hard-to-abate industrial emissions.
03
Hydrogen & Ammonia
Support capture decisions for low-carbon hydrogen and ammonia production pathways.
04
Natural Gas Processing
Compare capture strategies under source-specific gas composition and operating constraints.
WHY CAPTUREPATH AI
The best capture material is not universal.
It depends on the source, process, location, and CO₂ destination.
Material-to-process co-optimizationRank materials by performance inside cyclic processes, not only by lab capacity.
Physics-informed AIUse fast predictive workflows constrained by engineering and thermodynamic behavior.
Industrial-source matchingTailor recommendations to gas composition, flow, humidity, and performance targets.
Geospatial deployment intelligenceConnect local energy, water, waste heat, and transport infrastructure to the decision.
Uncertainty-aware guidanceIdentify missing inputs and focus experimental effort on information with the highest decision value.
CONTACT CAPTUREPATH AI
Move from material data to a clearer deployment decision.
Interested in evaluating a carbon-capture material, process, or industrial source? Contact CapturePath AI to discuss a potential technical evaluation, collaboration, or pilot opportunity.
EMAILcapturepathai@gmail.com
PHONE+966 53 510 7485
ADDRESS3034 Building 15, KFUPM
Dhahran, Saudi Arabia
Dhahran, Saudi Arabia