Model flexibility by design
Choose the model strategy around the accuracy, latency, governance, and infrastructure your project requires.
Security & deployment
Keep sensitive engineering data under your control.
KomAInu can work with the model and deployment approach that fit your infrastructure. We define the data flow, integrations, and human review gates with your team before an engagement begins.
Discuss your deployment constraints
Start with the architecture and governance constraints your project cannot compromise.
Design principles
Security starts with the deployment boundary.
Teams building critical software should not have to adapt their governance model to a generic AI endpoint. KomAInu is scoped around the environment that already protects their engineering work.
Deployment scoped with you
Private deployment or deployment on your premises can be designed around your environment and its constraints.
Fits the existing toolchain
Define how KomAInu connects to requirements, tests, code, documents, and the systems that remain your source of record.
Engineers keep the decision
KomAInu surfaces findings and prepares changes; your team validates what enters the official project record.
Technical discovery
What we define before deployment.
These are scoping questions, not blanket claims. The resulting architecture depends on the constraints agreed with your team.
Data flow
Where project artifacts are processed and stored.
Models
Which hosted or private models are permitted, including models with open weights.
Access
Who can access the system, findings, and connected sources.
Retention & logging
What must be retained, removed, or recorded for review.
Integrations
How repositories, ALM tools, and documents are connected.
Approval gates
Where human validation is required before synchronization.
Start with the constraints that cannot move.
We use them to decide whether KomAInu fits your environment and how it should be deployed.
Discuss your deployment constraints