AUTOINSIGHT
REAL-TIME AERODYNAMIC INFERENCE

Turn simulation and test data into real-time aerodynamic inference — explore thousands of design variants in seconds and compress vehicle program timelines.

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AUTOINSIGHT
OVERVIEW

Bring collaboration between design and simulation teams to the pace modern vehicle programs require. AutoInsight is a simulation-trained AI platform for real-time aerodynamic inference that unifies high-fidelity simulation and AI-driven design exploration in a shared workflow. The platform transforms historical simulation and test data into instant aerodynamic predictions, enabling teams to screen thousands of design variants against performance targets before committing to new simulations.

1,000× More

Design Iterations

Simulation turnaround no longer dictates design velocity. Instant aerodynamic feedback as geometry changes allows teams to evaluate far more variants within the same program window before committing to high-fidelity CFD or wind tunnel validation.

Real-Time

Collaboration

Aerodynamic predictions update in seconds, enabling fast trade studies without waiting on batch simulation cycles. Designers and aerodynamicists assess geometry changes interactively, keeping decisions aligned with the pace of the vehicle program.

Up to 99%

Accuracy

A pre-trained foundation model is continuously refined with new simulation and test data. As designs are validated, predictions remain closely aligned with the active design space over the life of the program.

AUTOINSIGHT
ADVANTAGES

Many AI tools promise faster aerodynamic feedback, but in practice they take months to become usable and lose relevance as vehicle platforms evolve between model years. Models are trained once, drift as designs change, and teams fall back to long simulation loops when predictions no longer reflect the current platform. This platform is built to stay useful under real program conditions, where designs evolve continuously and fast feedback must remain reliable over time.

Open Infrastructure

Ingests historical test data and simulation data from existing solvers, including STAR-CCM+, Fluent, Flow360 and more, without forcing teams into a closed ecosystem. Allowing OEMs to apply AI across programs, groups, and toolchains — regardless of which solver each team runs — while retaining full ownership and portability of their data and models.

Real-Time Inference

Delivers immediate aerodynamic predictions for design changes, enabling rapid trade studies and exploration without waiting on full simulation turnaround. High-fidelity CFD remains in the loop for validation, but iteration speed is no longer gated by batch runs.

Closed-Loop Learning

Continuously improves as new simulation and test data is added. Each validation run feeds back into the model, keeping predictions aligned with the evolving design space and extending the usefulness of AI across early exploration and later-stage refinement.

WHO
BENEFITS

Designers

Explore hundreds of shape variants in a single session. See aerodynamic impact on every design change in seconds — no ticket, no simulation queue, no waiting.

Aerodynamicists & Simulation Engineers

Stop spending 80% of your time on routine reruns. AutoInsight handles the volume exploration so you can focus on novel physics, edge cases, and the work that actually requires your expertise.

Engineering Leadership

Compress vehicle program timelines by removing the iteration bottleneck. Every simulation your team has ever run becomes an asset that accelerates every future program.

BRING REAL-TIME AERODYNAMIC
FEEDBACK INTO YOUR DESIGN WORKFLOW

Learn how AutoInsight links simulation data, real-time inference, and high-fidelity CFD into a closed-loop aerodynamic intelligence workflow.

View Our Technical Brief

AUTOINSIGHT
FEATURES

AutoInsight provides a complete aerodynamic intelligence platform, combining AI training, real-time inference, geometry interaction, and CFD validation into a single workflow. The platform is built as open infrastructure that fits into existing simulation environments and stays relevant as designs and vehicle platforms evolve.

Open Data Ingestion

Ingests historical simulation and test data from existing workflows and solvers, including STAR-CCM+, Fluent, Flow360 and more. Supported formats include STL, VTK, VTP, and CSV. Prior programs and current studies can be brought into the platform without restructuring existing pipelines or toolchains.

AI Model Training

Provides a dedicated workflow for training and managing AI models as new data is added. The platform ships with a pre-trained foundation model to deliver immediate value, then improves incrementally as customer-specific simulation and test data is incorporated over time.

Real-Time Aerodynamic Inference

Delivers immediate predictions for drag, downforce, and other aerodynamic metrics as geometry is modified. This enables rapid trade studies and early screening of design changes before committing to full CFD runs or wind tunnel sessions.

Interactive Geometry Morphing

Supports localized shape changes directly on vehicle geometry using 25 prebuilt morphing boxes. Engineers define parametric bounds for each region, and AutoInsight shows predicted aerodynamic impact in real time as parameters are adjusted.

Response Surface Visualization

Builds response surfaces over selected design parameters to expose performance trends and tradeoffs — such as drag vs. rear overhang length or cooling flow vs. front-end closure. Promising regions can be identified quickly and used to prioritize which variants go to full validation.

Simulation Data Management

Organizes geometry variants, simulation results, and prediction outputs in a single environment. This preserves institutional knowledge across iterations, model years, and programs — making historical data a reusable asset instead of an archived file.

Closed-Loop CFD Workflow

Connects AI-driven exploration with high-fidelity CFD in a continuous loop. Candidate designs can be sent for validation, and resulting simulation data feeds back into model training to keep predictions aligned with the evolving design space.