Local runtime
Operation on owned infrastructure with local API, dashboard/ops views and separated release states.
pumm.group documents Nova and NQIS as a private project for local AI systems. The focus is controlled knowledge intake, traceable decisions, technological sovereignty and a clear separation between vision, prototype and evidenced development state.
The project combines a long-term assistant vision with a technical platform that can be reviewed, limited and improved. Nova describes the desired interaction: understandable, personal, local and source-aware. NQIS describes the technical operating model: knowledge base, API, roles, safety boundaries, audit logs, evidence files and release checks.
The website deliberately avoids inflated claims. It does not present an all-knowing AI, a conscious system or unlimited autonomy. The focus is a local and traceable AI environment where sources, decisions, changes and risks remain visible.
NQIS is now significantly more than an idea. The current state covers local runtime, source-grounded answers, protection mechanisms, roles, operational data and evidence files. The stable line remains separated from the development line so changes can be tested in a controlled way.
Operation on owned infrastructure with local API, dashboard/ops views and separated release states.
Memory, knowledge, sources, chunks and shape checks form the basis for traceable answers.
Answers are derived from available context. Uncertain current questions are not invented without reliable sources.
Roles such as admin, operator, reader and auditor separate visibility and mutating actions.
Direct tool or shell execution from model output remains blocked. Mutating actions require rules and approvals.
Check results, status files, logs and evidence artifacts make development and operation more traceable.
Archived states, checksums and restore probes reduce the risk of uncontrolled changes.
NQIS is intended to review, score and mark Nova agents, scripts and tools before productive execution.
Local AI is not an end in itself. The key value is stronger control over data flows, models, sources, logs and system changes. This creates a different operating model than pure cloud chatbots: less black box, more responsibility and more technical accountability.
For Nova, personal assistance is therefore not only conversation, but a controlled environment with source grounding, safety logic and visible limits. For NQIS, every new capability has to fit architecture, tests, roles, evidence and rollback paths.
New functions are not simply activated; they are checked against existing baselines, safety rules and traceability.
Runtime, dashboard, memory, grounded chat, evidence and separated release states form the foundation.
NQIS reviews Nova agents before execution for safety, quality, compatibility, testability and governance conformity.
Model and system changes are measured against fixed baselines. Regressions should become detectable and reversible.