Agility
Adapt as fast as conditions change.
Models, plans, and controls update continuously to reflect real asset conditions — under engineering guardrails - keeping operations aligned with what's actually happening on the ground.
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AVA delivers value in three practical ways: Adapting faster. Operating leaner. Automating decisions across your enterprise.
Models, plans, and controls update continuously to reflect real asset conditions — under engineering guardrails - keeping operations aligned with what's actually happening on the ground.
AVA identifies hidden capacity, optimizes throughput, and reduces waste, turning engineering knowledge into repeatable, scalable performance gains.
From closed-loop optimization to predictive maintenance, AVA manages high-volume, high-complexity tasks within the safety boundaries your engineers define.
Models, plans, and controls update continuously to reflect real asset conditions — under engineering guardrails - keeping operations aligned with what's actually happening on the ground.
AVA identifies hidden capacity, optimizes throughput, and reduces waste, turning engineering knowledge into repeatable, scalable performance gains.
From closed-loop optimization to predictive maintenance, AVA manages high-volume, high-complexity tasks within the safety boundaries your engineers define.
Type your goal. And AVA builds a live workspace below — plan, KPIs, schematic.
Leading process simulation for the design and optimization of assets from early conceptual design through operations. Aspen HYSYS—bolstered by Industrial AI—helps companies maximize safety, sustainability and profits by optimizing the entire site in one environment using industry-validated simulation and time-saving workflows.
View more (opens in new tab)Aspen HYSYS is the market-leading process simulator, built on decades of experience and feedback from top oil & gas and EPC companies. Learn how it can help your organization accelerate time-to-market for new processes and improve equipment and process efficiency for existing processes.
Rigorous process simulator that provides lifecycle modeling form design through operations, enhanced with Industrial AI. Model a wide range of chemical processes for both batch and continuous operations including solids, bioreactors, polymers and more. With integrated process modeling, improve time-to market, process efficiency and sustainability performance.
View more (opens in new tab)Drive industrial sustainability and advance your net-zero goals with Aspen Plus. Optimize carbon capture, green hydrogen and circularity using industry-leading process simulation technology.
Combining first principle domain knowledge and machine learning techniques to enable rapid generation and calibration of process models using lab or plant data.
View more (opens in new tab)Hybrid modeling is helping streamline grade transitions, enhance online property predictions and update reactor models more efficiently through the combined use of plant data, first‑principles knowledge and AI. Discover how SABIC is scaling hybrid modeling across their network—and how your teams can replicate their success.
Enables rapid design and optimization of process layouts from conceptual project definition. Provides multiple layout options using AI, enabling teams to rapidly identify the most cost-effective arrangement. By automating layout design and balancing with capital costs, it helps engineering teams reduce design time, identify optimal designs and uncover opportunities for better investment decisions.
View more (opens in new tab)Aspen OptiPlant 3D Layout transforms early-stage engineering design using AI-powered Auto Layout to automatically generate optimized 3D plant models from process data like equipment lists and connectivity. Learn how to input data for an acid gas plant, configure Auto Layout settings and understand how AI design choices impact feasibility and efficiency.
Predicts business performance of new and existing industrial systems, providing clear insights into the benefits, costs and risks associated with different operational or investment decisions meant to improve such performance. Combines Monte Carlo simulation with Flow Optimization to simulate planned and unplanned events, enabling leaders to assess expected outcomes and the impact of disruptive conditions.
View more (opens in new tab)Plant design and operational decisions are deeply interconnected, yet disconnects between these phases often result in missed optimization opportunities and suboptimal ROI throughout the asset lifecycle. AspenTech's advanced digital tools bridge this gap by enabling companies to evaluate CAPEX and operational trade-offs, track performance across the entire asset lifecycle and identify inefficiencies to optimize both capital projects and ongoing maintenance strategies.
Delivers fast, reliable capital cost estimates for engineering projects from conceptual design through front‑end engineering. Using a unique, model-based estimation approach and industry benchmarks, it enables teams to quickly compare project alternatives, scale the project up or down, assess uncertainty and make confident investment decisions early when cost leverage is highest.
View more (opens in new tab)Sweco, Europe's leading engineering consultancy, struggled with inconsistent, scattered spreadsheet-based cost estimation that slowed project timelines and created misalignment across teams. By implementing ACCE, they achieved 50-75% faster estimate generation and 40-60% cost reductions while establishing a standardized, transparent methodology that improved collaboration and reliability across their diverse global project portfolio.

In value generated for customers using AspenTech solutions since 2014.

CO2 Saved by customers using AspenTech solutions over the past decade.

AspenTech was founded in 1981, with over 40 years of experience in industrial software and optimization.

Trusted by 2,400+ industrial organizations worldwide across energy, chemicals, and manufacturing.






One connected plan where AVA and AspenTech products add intelligence at each stage — from scoping to deployment — so improvements move faster with less risk.
Bounded Derivatives Neural Networks in APC
Multivariate Process Control & Neural Networks (Inferentials)
in 3D Plant Layout
Guidance for FEED design
AI-enabled Predictive Analytics
Adaptive Multi-Process Control (MPC) and Smart Tune
Vanguard Seismic Inversion
Short-term Load & Generation Forecasting Python Interfaces to Core Components
Deep Learning Non-linear MPC
Rock-type Classification (Seismic Interpretation)
Combining AI with First-Principles Models
Automated DMC3 and Mtell Model Deployment
AI Guidance for DMC3 and Unified PIMS
GenAI-Powered Process Synthesis
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