Master-builder capabilities for every engineer
M45 uses AI to bring the engineering knowledge held across your program into a shared, continuously updated understanding of the system.
Using this shared understanding, M45 agents help engineers:
- 01Connect the work at hand to the rest of the system
- 02Plan the work needed to reach an objective
- 03Build and use a shared picture of how the system should behave
- 04Assess the impact of a change
You should be able to walk away from your requirements, and somebody else should be able to pick them up and recreate the design. Most designs today do not meet that criterion.
The certification authority wants to know, 'How have you done that? Why have you traded off this thing for that thing? Why have you made that decision?' But tracking down this evidence is actually very difficult.
Engineering knowledge is scattered across the program
Requirements, designs, assumptions, and evidence are spread across tools, documents, teams, and suppliers. The system still depends on them fitting together.
Failure patterns
Mission assumption stays in a slide deck. A requirement is written without the operating condition that made it necessary.
Supplier constraint stops at the handoff. A local design remains valid in isolation but no longer supports the behavior expected elsewhere.
Evidence outlives its conditions. A test result is reused after the design, mission, or approval basis has changed.
A small change crosses program boundaries. Its effects on qualification, suppliers, schedule, and prior decisions appear only after implementation.
Misunderstandings get expensive fast
What the system is supposed to achieve
Formal requirements and architecture
Code, hardware, test
Certification and field use
M45 helps teams surface whole-system misunderstandings while they are still engineering questions—not integration failures, certification findings, or in-service problems.
Bring the understanding of the whole into every engineer's work
M45 connects system intent, requirements, design decisions, and evidence across existing sources—so engineers can answer questions no single tool or document can.
Questions engineers can answer
Given this mission, what must we qualify—and how should we prove it?
Which regulatory paths apply, and what will each require?
Is the control structure complete, or are behaviors and feedback missing?
If this part changes, what else needs review?
Access stays scoped to project roles, security classifications, and need-to-know boundaries.
Articles on intent, rework, and engineering authority
How to Keep Safety Reasoning Connected to System Design
System design and safety analysis often live separately, so teams can miss hazards and make decisions without the full picture. RAAML is a modeling language that provides a way to represent structured safety reasoning in SysML, a standard language for modeling engineering systems. This brings safety analysis and system design into one connected model. But the current version of RAAML was created for SysML v1 while organizations are moving to SysML v2. We built an open-source translator that carries the official RAAML definitions into SysML v2 and back without losing information. This gives teams a tested foundation for moving safety reasoning into SysML v2.
Certification Has a Clarity Problem, Not a Paperwork Problem
The hard part of certification is not producing better documents. It is keeping the engineering argument clear enough to be inspected, challenged, and defended.
How to Use AI Without Losing Control of the Engineering Baseline
AI can help safety-critical teams find drift, assemble evidence, and draft changes, but the accepted engineering record must remain controlled by reviewable decisions.
See it in practice without disrupting critical work.
Bring one bounded workflow and representative artifacts. We work through it with your engineers and compare the result with today's process.
What you bring
A known workflow, a small artifact set, and an engineer who can judge the result.
What you get
A working M45 evaluation grounded in your artifacts, with results your engineers can inspect and judge.
Start small
No production integration is required. Synthetic or sanitized material can be used.