SECURE AI FOR OPERATIONS

Every AI vendor wants your data on their servers.

Your operations data is too sensitive for someone else's cloud. ArgusAI keeps it all on yours.

Local LLMs. RAG on your documents. Agent workflows. MCP-governed access to live operational data. Running entirely on your infrastructure — on-premises, edge, or air-gapped. No cloud dependency. No data leaving your network. Ever.

This is not AI with a privacy policy. It's AI with an architecture.

Talk to a Security Architect See the Architecture

LLM Engine

RAG Pipeline

MCP Servers

Governance

Ask Argus

Agents

Guardrails

RBAC/ABAC

ArgusAILOCAL

LLM EngineRAG PipelineMCP ServersGovernanceAsk ArgusAgentsGuardrailsRBAC/ABAC

Models7+ supported

MCP Servers8 active

Data exposureZERO

LOCALInference

0External Calls

8MCP Servers

100%Audited

AI Activitylocal

Ask ArgusPump P-4421 history?

MCP QueryCMMS → 4 work orders

RAGSOP §4.2 retrieved

GuardrailInput validated ✓

Ask ArgusCalibration due this week?

MCP QueryAsset → 7 assets flagged

AlertHVAC-B3 threshold breach

AgentWO auto-drafted → review

AuditQuery logged · traceable

Ask ArgusBuilding C alarm cause?

Ask ArgusPump P-4421 history?

MCP QueryCMMS → 4 work orders

RAGSOP §4.2 retrieved

GuardrailInput validated ✓

Ask ArgusCalibration due this week?

MCP QueryAsset → 7 assets flagged

AlertHVAC-B3 threshold breach

AgentWO auto-drafted → review

AuditQuery logged · traceable

Ask ArgusBuilding C alarm cause?

THE PROBLEM YOU ALREADY HAVE

Your team is already using AI.
They're using ChatGPT.
And your operational data is going with them.

of employees enter non-public data into public AI tools

Cisco, 2024

of organizations suspect prohibited AI tool usage

Gartner, 2025

$0K

added to average data breach cost from shadow AI

IBM, 2025

Samsung found this out in March 2023. Within 20 days of allowing ChatGPT access, three separate data leaks occurred — semiconductor source code, equipment testing code, internal meeting records. All of it entered OpenAI's servers. None of it came back.

Samsung banned generative AI company-wide. JPMorgan, Goldman Sachs, Northrop Grumman, and Apple followed.

Banning doesn't work either. The tools are too useful and your people are too resourceful.

ArgusAI is the third option.

Give your team an AI assistant that is genuinely better than the public tools they're currently using — because it knows your operation, your documents, and your live system data.

Give your IT team the governance layer to monitor, control, and audit every interaction.

Give your CISO an architecture she can actually read and approve.

Everyone gets what they need. The leak stops.

ARCHITECTURE

Local models. Local data. Local intelligence.
And an MCP layer that makes all three trustworthy.

Most on-premise AI deployments give the language model broad access to a database or document store, then rely on prompt engineering to keep it in bounds. Prompt engineering is not governance. It fails unpredictably, produces hallucinations, and creates compliance risk with no audit trail.

ArgusAI is built differently.

LAYER 1

Local LLM Engine

Your hardware. Your models. Your control.

Open-source models run on your hardware. You choose the model. You control the version. You decide when and whether to update.

LLaMA 3.3, DeepSeek R1, Mistral, Qwen 3, Phi-4, CodeLlama, Gemma 3

Any GGUF or HuggingFace-compatible model

vLLM for production throughput, Ollama for edge

No query reaches an external API

LAYER 2

RAG Pipeline

Grounded. Cited. Verified.

Ask Argus answers from your documents and your operational knowledge — not the model's training data.

Hierarchical chunking at semantic boundaries

Hybrid retrieval: dense vector + BM25 keyword matching

Cross-encoder re-ranking before context assembly

Citations: source document, section heading, page number

LAYER 3

MCP Server Layer

Governed access to live operational data.

Purpose-built MCP interfaces define exactly what the AI can query, retrieve, and act on in each ArgusIQ module.

8 purpose-built ArgusIQ MCP servers

AI cannot reach outside the MCP contract

Every call logged: query, response, timestamp, user, role

Expands automatically as ArgusForge builds new modules

LAYER 4

Governance

Every query logged. Every response auditable.

RBAC/ABAC inherited from ArgusIQ. NeMo Guardrails for input/output filtering. Query-level audit trail on every interaction.

Role and attribute-based access control

NeMo Guardrails: prompt injection, off-topic, hallucination filtering

Real-time session monitoring + flagged prompt alerts

Agent deployments require admin sign-off

MCP SERVER LAYER

8 purpose-built interfaces. Zero uncontrolled access.

Asset MCP

Live telemetry, status, maintenance history

Role + asset group

asset.status: ONLINE

CMMS MCP

Work orders, PM schedules, parts inventory

Role + permission level

wo_count: 4 (Q1 2026)

IoT MCP

Device readings, alarms, threshold states

Role + facility

devices_online: 342 / 348

Space MCP

Floor maps, occupancy, geofence events

Role + zone

building_c.floor_2: 87% occupied

Ticketing MCP

Queues, SLA status, assignment history

Role + team

open_tickets: 23

Library MCP

SOPs, manuals, equipment docs

Role + document classification

doc: "Confined Space Entry SOP"

Analytics MCP

Aggregated metrics, trend data

Role + data scope

mtbf_trend: ↑ 12% (90d)

Automation MCP

Rule status, execution history

Role + read/write permission

active_rules: 18

THE INTERFACE

Don't navigate modules. Don't run reports. Just ask.

Ask ArgusLocal

Processed locally · No data left the network

YOUR MODELS. YOUR CHOICE.

No vendor lock-in. No forced upgrades.
The model is your decision.

LLaMA 3.3

70B

Default

General operations, Ask Argus

Min hardware: 2× A100 40GB

DeepSeek R1

671B MoE

Complex reasoning, ArgusForge planning

Min hardware: 4× A100 80GB

DeepSeek V3

685B MoE

Coding, ArgusForge build phase

Min hardware: 4× A100 80GB

Qwen 3

32B

Multilingual operations

Min hardware: 2× RTX 4090

Mistral Large 2

123B

Balanced reasoning + speed

Min hardware: 2× A100 80GB

Phi-4

14B

Edge & constrained deployments

Min hardware: 1× RTX 4090

Every model runs through vLLM (production) or Ollama (edge), with 4-bit quantization support. If you have a fine-tuned model your team prefers, ArgusAI loads it.

ROLE-BOUND INTELLIGENCE

Agents that know what they're allowed to do —
and can't do anything else.

Every agent inherits a role — same access permissions as a human user

Agents reach ArgusIQ exclusively through MCP servers

Every agent action logged: tool called, data returned, timestamp

New agents require admin approval before deployment

Tool access is explicitly allowlisted

Maintenance Intelligence

Monitors PM schedules, identifies overdue assets, drafts work orders, surfaces maintenance backlog on request.

RoleMaintenance Supervisor

ToolsCMMS MCP (read/write), Asset MCP (read)

All actions logged · Admin approved

Calibration Compliance

Tracks calibration status across facilities, alerts on approaching thresholds, generates compliance summaries for audit.

RoleQuality Technician

ToolsAsset MCP (read), CMMS MCP (write)

All actions logged · Admin approved

ArgusForge Build Agent

Autonomous code implementation within task scope, self-healing on test failure, escalates on scope ambiguity.

RoleSystem (internal)

ToolsCodebase MCP, Test Runner MCP, Linter MCP

All actions logged · Admin approved

DEPLOY YOUR WAY

Air-gapped. Intranet-only. Private cloud.
One architecture. Your choice of posture.

Air-Gapped

Defense, classified manufacturing, critical infrastructure

Internet None Required

Data ExposureZero

Intranet Only

Enterprise facilities, regulated manufacturing

Internet None Required

Data ExposureZero

Private Cloud

AWS GovCloud, Azure Government, internal OpenStack

Internet Controlled

Data ExposureLocal only

All three modes use the same modular Docker/Kubernetes architecture. Switching posture is a configuration change.

NVIDIA A100/H100/RTX series for GPU inference. CPU inference via llama.cpp for constrained environments. Ruggedized NVIDIA Jetson for edge.

THE INTELLIGENCE LAYER

ArgusAI isn't a product you add to your operation.
It's the intelligence your operation runs on.

ArgusIQ™

The operational platform. Assets, devices, maintenance, dashboards — all in one system. ArgusAI connects through MCP servers and makes everything queryable in natural language.

Learn more

ArgusForge

Autonomous software development. ArgusForge's entire pipeline runs on the local ArgusAI stack. Describe it. ArgusAI builds it.

Learn more

BUILT FOR REGULATED ENVIRONMENTS

If your data can't leave, ArgusAI was built for you.

Defense & Classified Manufacturing

ArgusAI runs on your classified network. ITAR-sensitive data stays on your hardware. Full audit trail on every interaction. MCP-governed access enforces your existing clearance structure.

Regulated Manufacturing

FDA, GxP, ISO-controlled environments where every data touch must be documented. Query-level audit trail logs what was asked, which model responded, and what was returned.

Critical Infrastructure

Power generation, water treatment, pipeline operations. ArgusAI runs locally, responds locally, and never introduces an external attack surface.

Healthcare & Facilities

Patient data, facility operations, equipment maintenance. AI queries run without sending a single record to an external server. HIPAA-sensitive workflows stay on your infrastructure.

Your models. Your data. Your network. Your AI.

Talk to a security architect about deploying ArgusAI on your infrastructure — and showing your CISO an architecture she can actually approve.

Talk to a Security Architect

Every AI vendor wants your data on their servers.

Your team is already using AI.They're using ChatGPT.And your operational data is going with them.

Local models. Local data. Local intelligence.And an MCP layer that makes all three trustworthy.

Local LLM Engine

RAG Pipeline

MCP Server Layer

Governance

8 purpose-built interfaces. Zero uncontrolled access.

Asset MCP

CMMS MCP

IoT MCP

Space MCP

Ticketing MCP

Library MCP

Analytics MCP

Automation MCP

Don't navigate modules. Don't run reports. Just ask.

No vendor lock-in. No forced upgrades.The model is your decision.

LLaMA 3.3

DeepSeek R1

DeepSeek V3

Qwen 3

Mistral Large 2

Phi-4

Agents that know what they're allowed to do —and can't do anything else.

Maintenance Intelligence

Calibration Compliance

ArgusForge Build Agent

Air-gapped. Intranet-only. Private cloud.One architecture. Your choice of posture.

Air-Gapped

Intranet Only

Private Cloud

ArgusAI isn't a product you add to your operation.It's the intelligence your operation runs on.

ArgusIQ™

ArgusForge

If your data can't leave, ArgusAI was built for you.

Defense & Classified Manufacturing

Regulated Manufacturing

Critical Infrastructure

Healthcare & Facilities

Your models. Your data. Your network. Your AI.

Your team is already using AI.
They're using ChatGPT.
And your operational data is going with them.

Local models. Local data. Local intelligence.
And an MCP layer that makes all three trustworthy.

No vendor lock-in. No forced upgrades.
The model is your decision.

Agents that know what they're allowed to do —
and can't do anything else.

Air-gapped. Intranet-only. Private cloud.
One architecture. Your choice of posture.

ArgusAI isn't a product you add to your operation.
It's the intelligence your operation runs on.