AxSTREAM AI & Peter - AI Solutions for Engineering
Practical AI for Faster, More Confident Engineering Decisions
Artificial intelligence is transforming how engineers develop, analyze, and optimize turbomachinery and thermal-fluid systems. SoftInWay offers two complementary AI solutions that reduce manual effort, accelerate engineering workflows, and improve productivity while keeping physics-based simulation and engineering judgment at the center of every decision.
AxSTREAM AI enables engineers to build, deploy, and manage machine-learning models that accelerate system modeling, design exploration, and performance prediction.
Peter, SoftInWay’s AI Workmate, provides conversational engineering assistance, automates engineering workflows, answers technical questions, and helps engineers interact more naturally with the AxSTREAM platform.
AxSTREAM AI and Peter help engineering teams spend less time building models and navigating software, and more time evaluating designs, exploring alternatives, and making confident engineering decisions.
AxSTREAM AI
Accelerate model development and engineering analysis through machine-learning-powered automation. AxSTREAM AI builds, manages, and deploys AI models that reduce setup time, predict system behavior, and enable faster design exploration across a wide range of operating conditions.
Model Design Automation, Analysis, & Machine Learning
Capabilities:
- Builds, fine-tunes, and manages machine-learning-based models through AI automation.
- Automatically identifies optimal model structures and parameter combinations based on design intent and constraints.
- Predicts both design and off-design performance with speed and accuracy.
- Supports trade studies across diverse operating scenarios.
- Deploys trained AI models directly into AxSTREAM System Simulation or AxSTREAM ION for system-level analysis.
Benefits:
- Eliminate wasted time exploring design configurations that won’t meet project requirements.
- Accelerate design cycles with AI that automatically identifies viable performance and geometry starting points.
- Enhance design performance by evaluating behavior under different operating scenarios — without risk to physical assets.
- Assess cost drivers and tradeoffs early, enabling more cost-aware design decisions.
Data Structuring and Management
Capabilities:
- Transforms equipment-specific operational and design datasets into validated AI/ML models.
- Stores trained models in reusable libraries for cross-project use.
- Automatically selects the optimal AI model from the library for the specified engineering objective and returns the corresponding predictions (e.g., geometry, performance, pressure ratio, mass flow rate, etc.)
Benefits:
- Maximize model accuracy and reliability, even when historical data is limited.
- Reduce manual setup by instantly configuring system and component models from inputs, user-defined parameters, and operating conditions.
- Build a reusable, organization-wide library of validated AI models that compounds engineering value over time.
Meet Peter — Your AI Engineering Workmate
Peter is SoftInWay’s AI Workmate for the AxSTREAM platform, helping engineers complete tasks more efficiently through natural language and workflow automation. It can configure models, add and connect components, automate workflow steps, execute analyses, answer technical questions, and provide context-aware engineering guidance.
Peter – Your Virtual Engineering Advisor
Capabilities:
- Delivers clear, context-aware guidance and analysis at both the system and component level.
- Configures system models, modifies elements, and executes analysis steps directly within the AxSTREAM workflow.
- Automates technical tasks, performs full system analyses, and provides optimization recommendations through agentic automation.
- Provides quick, AI-powered question-and-answer responses drawn from SoftInWay’s technical knowledge base, wiki, and software documentation.
- Defines terminology and clarifies design concepts directly within the platform.
Benefits:
- Accelerate system-level analysis and decision-making with data-backed recommendations in minutes.
- Boost engineer productivity by automating routine and complex technical tasks.
- Faster onboarding for new users through guided setup, modeling, and analysis.
- Stronger team collaboration by clarifying terminology and concepts on demand without disrupting workflows.
- Keep engineers in control while reducing manual effort throughout the workflow.
