Oil, Gas & Energy

Autonomous code assistance for critical infrastructure teams.

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.

Why cloud coding agents are hard to approve here

Cloud tools are excellent where cloud is permitted. This sector often cannot permit it.

OT / IT separation

Environments adjacent to operational technology are deliberately isolated — tools that require an external cloud connection do not fit the architecture.

Sensitive operational context

Code, configurations, and incident context describe critical national infrastructure — the kind of data organizations least want in someone else’s cloud.

Long-lived, audited systems

Energy software lives for decades and every change is reviewed — an AI tool must produce evidence, not just code.

What NeueCode brings

Deployed inside your perimeter

The full platform — agent, models, audit — runs on your own servers and GPUs, on the IT side of your architecture, under your network controls.

Strict egress control

A deny-by-default egress broker blocks anything not explicitly allowed; in strict mode, the agent's cloud and network paths are made structurally unreachable — an app-level control paired with your on-prem isolation.

Human approval on risky actions

Plans wait for sign-off, code changes ship as reviewable diffs, and every tool runs through a least-privilege, allowlisted registry — risky actions pause at a human approval gate. Controlled autonomy, not a free agent.

Auditability end to end

Every step lands in the hash-chained Flight Recorder, and signed per-run manifests let auditors verify what happened offline.

No cloud dependency to maintain

Local open-weight models mean the platform keeps working when the internet path is closed — by policy or by design.

Delivered with infrastructure expertise

GPU/CUDA server setup, model deployment, and MLOps from the team that built the platform — including fully offline installs.

Secrets blocked before they can leave

Before any outbound socket opens, a secret scan blocks credentials — never redact-and-send — so configuration secrets and keys don’t leave with a tool call.

Eval-gated model serving

A versioned model registry promotes a model only if it passes your evals, and rolls back automatically if it regresses — so a model change on critical systems stays controlled and reversible.

STRICT MODE

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.

Read the security architecture

Frequently asked questions

Can NeueCode run fully on-premise or air-gapped for Oil, Gas & Energy?

Yes. The agent, the local open-weight models, and the audit trail all run on your own servers and GPUs. In strict mode the agent's cloud and network paths are made structurally unreachable — an app-level control paired with your on-prem isolation (a packet-level OS tier is optional) — so it operates inside restricted or air-gapped networks.

Does our source code leave the network?

No vendor cloud is required. The models run on your GPUs, and file edits, shell and tests run on the developer's own machine. In strict mode NeueCode signs a per-run non-egress manifest — offline-verifiable evidence your auditors check without trusting the vendor.

Is NeueCode SOC 2 or ISO certified?

No — NeueCode is not certified against any framework. Its evidence export is mapped (not certified) to EU AI Act, DORA, NIS2, SOC 2 CC6, ISO 42001, and SAMA/NCA controls — it provides technical controls and audit evidence that support your own governance and compliance program.

Does NeueCode support Arabic?

Yes — the product itself (not just the website) is fully bilingual English/Arabic with full right-to-left support, with a Kuwait- and GCC-focused deployment and support model.

Other sectors

Start with a sovereign AI pilot.

Installed on your server, inside your network, on one test repository — ending with a security review session and exported audit evidence.

See how the pilot works