Manual
~30 min
With InnoviumAI
~15 min
Radar Cross Section Simulation
CST Studio workflow coordinated by Simulation and Documentation agents.
Platform
The agent platform for R&D.
Coordinate AI agents, models, and your existing scientific software in one desktop platform. Run research workflows while your team stays in control.
CST StudioAnsysMATLABOpenFOAMPX4ROS 2GazeboSOLIDWORKSJupyterGitHub
How it works / 01
Start with the goal.
Describe your research goal in plain language. Configure your agents, models, tools, and knowledge to carry out the work.
01
Set the goal
Describe the research or engineering outcome you need.
02
Configure the team
Create or select agents and equip them with models, tools, and knowledge.
03
Run the workflow
Agents carry out tasks across your scientific tools, following the workflow you configure.
04
Review the result
Review outputs and approve actions that require your judgment.
Real workflows / 02
Built around real
R&D work.
From simulation parameters to structured results, the team carries work across tools while preserving the evidence behind every output. Click a use case to watch it in action.
Manual
~3 hours
With InnoviumAI
~5 min
Gas Turbine Controller
MATLAB and Simulink analysis across multiple operating scenarios.
Manual
~7 hours
With InnoviumAI
~30 min
PX4 Flight Data
ULog analysis, visualization and a structured engineering report.
AI teams / 03
A team built
around the problem.
Create or select specialized agents for research, simulation, code, analysis, and documentation. Configure their roles, models, and tools around your needs.
Principal Investigator
Plans and coordinates
Research Agent
Finds and structures knowledge
Simulation Agent
Runs scientific software
Code Agent
Builds computational workflows
Data Analyst
Analyzes and visualizes results
Documentation Agent
Creates research outputs
Tools & connectors / 04
Built around the tools in each workflow.
Explore how agents use scientific software, data sources, and connected systems.
CST Studio
Ansys
MATLAB
OpenFOAM
PX4
ROS2
Gazebo
SOLIDWORKS
Python
Plotly
Jupyter
GitHub
Jira
Confluence
Slack
Orchestration / 05
Coordinate models, agents, tools, and knowledge.
See agents work across your scientific tools, follow their progress, and review the outputs.
0103
Delegate work across specialists.
The lead agent assigns tasks to specialists and brings their outputs together as the workflow progresses.
Human oversight / 06
Agents work.
You stay in control.
Follow the work as it happens, approve critical actions and inspect the outputs that matter.
01See the plan
02Follow agent activity
03Approve critical actions
04Inspect the outputs
Deployment & security / 07
Run where your
research lives.
Keep control.
Keep workflows close to your files, scientific software, and compute resources. Connect to remote models, tools, and systems when your research requires them.
Deployment
Your environment
Run workflows close to the files, software, and infrastructure your team uses.
Connected when needed
Connect to remote models, tools, or compute resources when your research requires them.
Organizational control
Choose an arrangement that fits your infrastructure and governance requirements.
Security
Agent permissions
Configure which tools and resources each agent can use.
Action controls
Set whether tool actions run automatically, require approval, or remain blocked.
Reviewable tool calls
Inspect the requested action and its parameters before granting approval.
See InnoviumAI in action.
Explore how InnoviumAI could fit your team’s research workflows.
Request a demo