Prototype
AI Engineering & Simulation
AI-Assisted Engineering
An AI layer around established simulation tools such as ANSYS and CalculiX. It does not replace solvers or engineering judgement.
All projects
AegisCode
AI-Assisted Software Engineering
Private AI software-engineering system for understanding codebases, investigating bugs and supporting engineering workflows. Current focus: C/C++ code intelligence and bug detection.
What it is
AegisCode is a private AI software-engineering system for understanding codebases, investigating bugs and supporting engineering workflows.
Current focus: C/C++ code intelligence and bug detection.
Design principle: Engineer-in-the-loop, evidence before action.
Problem addressed
Technically complex codebases, such as large C/C++ systems, are difficult to understand, investigate and change with confidence.
In sensitive engineering environments, source code often cannot be sent to public cloud AI services, so AI assistance needs to run privately, within a defined deployment boundary.
What has been built or demonstrated
AegisCode is in active prototype development. Its capability areas are listed below with their current status.
Capability areas
Understand
In development- Codebase indexing
- AST and symbol relationships
- Call-graph intelligence
- Context-aware retrieval
Investigate
In development- Bug detection
- Root-cause investigation
- Evidence gathering
- Engineer-in-the-loop reasoning
Engineer
Planned- Suggested fixes
- Test assistance
- Regression analysis
- Standards and evidence integration
Limitations
- Prototype stage: AegisCode is not a released product.
- The Understand and Investigate areas are in development; the Engineer area is planned.
- The current focus is C/C++; other languages are not yet in scope.
- It is designed to support engineers, who review the evidence and make the decisions.
Planned next steps
- Develop towards an MVP and technical validation.
- Develop the planned Engineer capabilities.
- Workflow integrations and early pilots with partners.
Related projects
- Prototype / platform direction
Private AI Workstation
Integrated computing platform
Hardware + OS/Firmware + Local AI + Engineering Applications. Long-term direction: a secure, deployable AI appliance for sensitive engineering and enterprise workloads.
Interested in a pilot or technical collaboration?
We are open to pilot partners. Tell us about the engineering problem you are working on.