NeueCode 73-in-1 Enterprise AI Platform
Enterprise AI + Govern AI + Shadow-AI (SOC)
One platform for enterprise use, governance, and Shadow-AI visibility. On-premise. Controlled. Enterprise-ready.
- One fixed price per server
- Higher control
- Full visibility
- Enterprise-ready
NeueCode 7 is a sovereign AI engineering and governance platform — an on-premise autonomous multi-agent system and AI coding agent on local open-weight models, deployable air-gapped, that governs every AI agent action at runtime.
WHAT NEUECODE 7 IS
Three capabilities. One platform. One fixed price per server.
Enterprise AI for the engineers, Govern AI for the actions they take, Shadow-AI visibility for the SOC — installed on your own servers, on-premise or air-gapped.
Enterprise AI
AI coding agents on local open-weight models. They read your code, plan, edit files and run tests — as diffs you approve — in the desktop apps, VS Code, Visual Studio and the CLI.
The platformGovern AI
Every AI action under a policy you set: scoped access, human approval before anything sensitive, controlled egress, and a tamper-evident record your auditor can verify.
Autonomous AI governanceShadow-AI (SOC)
See the AI already running in your estate: inventory, local-vs-cloud calls, egress monitoring, alerts to your SIEM, and a risk view your security team can act on.
The security modelTHE APP
One workbench for your engineers.
Governed by design.
The same app on Windows, macOS, Linux, VS Code, Visual Studio and the CLI — every session on your own servers, every action on the record.
Build
Local models, your GPUs
Open-weight models served from your own servers, inside your perimeter. One box serves several models at once.
Plans before it edits
Reads the codebase, drafts a step-by-step plan, then edits files and runs tests — as diffs you approve.
Every surface you use
Windows, macOS and Linux apps, VS Code and Visual Studio extensions, the CLI, an API and MCP.
Govern
A policy on every action
Scoped access per agent, human approval before anything sensitive — enforced at runtime, not reviewed afterwards.
Controlled egress
What may leave, and to where, is decided by your policy — and logged. Local-vs-cloud calls are counted on one pane.
Evidence, not promises
A tamper-evident record of every action. In strict mode, a signed per-run manifest your own auditor verifies offline.
Installed on your servers — on-premise or air-gapped · One fixed price per active server · Unlimited developers on it, within the server’s capacity
WHAT CHANGED
AI stopped suggesting.It started acting.
Until recently, AI made suggestions and a person decided what to do with them. That has quietly reversed: AI agents now open files, run commands, change records and send information out to other services — on their own, all day. The identity, approval and audit routine an organisation runs for its staff was never designed for software that acts.
According to Gartner (2025) (opens in a new tab), at least 15% of day-to-day work decisions will be made autonomously through agentic AI by 2028, up from 0% in 2024.
What is Govern AI?
Govern AI is putting every AI action in the enterprise — the organization's own agents and third-party assistants alike — under a policy the organization sets, an approval it controls, and audit evidence it can verify.
Autonomous AI governance is the control of AI systems that act rather than only advise: every action an AI agent takes runs under a policy the organization sets, the risky ones wait for an approval it controls, and all of it leaves a record an auditor can verify without trusting the vendor.
An organisation answers these about its people every day. Governing its AI means being able to answer them about every AI action, too:
- Which AI did this, and what is it allowed to touch?
- Each AI agent acts under an identity of its own and a scope that names the systems and data it may reach.
- Who approved it before it happened?
- Sensitive actions pause for a person the organisation has named, and go ahead only on that approval.
- What information left the organisation with it?
- Anything sent outward passes a policy first, and a record shows what left, where it went, and under which rule.
- Can you show all of that afterwards to someone who was not there?
- Every action, approval and outbound transfer is kept in a record an auditor can verify without taking anyone's word for it.
Frameworks such as NIST AI RMF, ISO/IEC 42001 and the EU AI Act set out which of these controls an organisation needs. The four answers above map to them — mapped, not certified.
Answering all four, for every action, while the AI is actually working — that is the discipline. NeueCode 7 is the system built to run it. Explore the NeueCode 7 platform
Who it is for
Built for regulated organizations.
Where the code cannot leave the building.
Autonomous AI governance — the categoryBy sector
Government & Defense
The state should be able to use the best AI technology — on its own terms: AI that runs on infrastructure the institution controls, where the institution itself decides what it can reach and what is allowed to leave. NeueCode is the working layer for that idea — not a product looking for a problem.
In strict mode, each run emits a signed, offline-verifiable non-egress manifest showing the agent opened no outbound connection — app-level proof paired with on-prem isolation, which an independent auditor checks offline. The full no-packet guarantee is the optional OS-enforcement tier.
Banking & Finance
Core banking code is one of the most sensitive assets a bank holds. NeueCode gives your engineering teams an autonomous AI engineer that works entirely inside your perimeter — with the governance, approvals, and audit evidence your risk teams expect.
In strict mode, every run produces a signed, offline-verifiable non-egress manifest showing the agent opened no outbound connection — app-level proof, paired with on-prem isolation, that the bank’s own reviewers check without trusting us. The packet-level guarantee is the optional OS-enforcement tier.
Oil, Gas & Energy
Software that touches operational systems is held to a different standard. NeueCode brings autonomous AI engineering to energy-sector IT — deployed on your infrastructure, with strict egress control and evidence for every action.
In strict mode, each run emits a signed, offline-verifiable non-egress manifest showing the agent opened no outbound connection — app-level proof paired with on-prem isolation, verified on your side of the fence. The full no-packet guarantee is the optional OS-enforcement tier.
Healthcare
Hospital and health-system software sits next to some of the most protected data there is. NeueCode lets your developers use autonomous AI on internal systems without that code — or its context — leaving your infrastructure.
In strict mode, your privacy office gets a signed, offline-verifiable non-egress manifest showing the agent opened no outbound connection — app-level proof paired with on-prem isolation. The full no-packet guarantee is the optional OS-enforcement tier.
Telecom
Subscriber data, OSS/BSS, and network code are national critical infrastructure under data-localization rules. NeueCode gives your software teams an autonomous AI engineer that runs on local models inside your own perimeter — so source and configuration never go to a foreign cloud.
In strict mode, each run emits a signed, offline-verifiable non-egress manifest showing the agent opened no outbound connection — app-level proof paired with on-prem isolation. The full no-packet guarantee is the optional OS-enforcement tier.
Contractors & Integrators
System integrators and government contractors deliver software into clients who set the sovereignty and accreditation rules — and often forbid cloud AI on client code. NeueCode deploys inside the client’s network on local models and produces the audit evidence you hand to their security review.
In strict mode, you hand the client a signed, offline-verifiable non-egress manifest showing the agent opened no outbound connection — app-level proof paired with on-prem isolation. The full no-packet guarantee is the optional OS-enforcement tier.
Or start from your role
I lead engineering
Local models, IDE and CLI integrations, and how the agent plans, edits files and runs tests — as diffs you approve.
The platformI lead security or compliance
Egress control, the tamper-evident flight recorder, evidence export, and frameworks mapped — not certified.
The security modelGovernment & public sector
Installed inside your network or air-gapped, on infrastructure the state controls, with every action governed and evidenced.
Government & defenseI own the budget
Enterprise AI you control. One fixed price per active server, whatever its size. Unlimited developers on it — and what that means for a budget line.
The pricing modelYour AI should answer to you. See it governed on your own infrastructure.
A live demo in your environment, on your own code. Your security team is welcome from the first session.