AirgapAI Chat
The enterprise AI assistant that never sends a byte off your laptop
Open the app, click one of 2,800+ ready-made workflows, drop in your document, and ship expert output in seconds. Then pull the network cable mid-answer and watch it keep typing — the model, the workflows, and your data all live on your machine.
No charge for 7 days. After your trial, $35/month. Cancel in one click before day 7.
Buying for a fleet, or need a PO / volume quote? Talk to salesHow do you deploy it?
Will it run on my laptop?
What's included
- AirgapAI Chat application (Windows + macOS)
- 2,800+ pre-built, click-to-run workflows across 50+ categories
- 6+ open-source local models (Arcee 4.5B, LLAMA 3.2, Gemma 9B, QWEN, more)
- Entourage Mode — multiple AI personas in one chat
- Local document ingestion + custom workflow builder (Perpetual and up)
- Email support · lifetime updates on perpetual licenses
What is AirgapAI?
AirgapAI is a 100% local AI assistant from Iternal Technologies that runs entirely on your own Windows or macOS laptop — no cloud, no internet connection, and zero data leaving the device. It includes 2,800+ pre-built workflows, 6+ open-source models (LLAMA 3.2, Arcee, Gemma, QWEN), and an optional Blockify data pipeline benchmarked at a 78x aggregate accuracy improvement on enterprise data. Pricing is $35/month after a 7-day free trial, or $697 once for a perpetual license.
How does AirgapAI deliver air-gapped AI?
AirgapAI runs the model, the retrieval and your documents on hardware you control, with no network connection — no cloud APIs, no telemetry, zero data leaving the device. It ships as a turnkey assistant: local LLMs, 2,800+ ready-to-run workflows, and Blockify retrieval with 78x fewer hallucinations, on a standard business laptop. For the underlying idea, see the air-gapped AI concept.
Where does AirgapAI actually run?
AirgapAI is a private AI assistant that runs the whole model on the laptop or server you own. Prompts, documents, chat history and the 2,800+ workflows stay on that machine, with no account sync and no telemetry. Pull the network cable mid-answer and it keeps generating. See what stays inside the boundary.
- 78x — up to 78X is the documented cross-deployment average LLM accuracy improvement with the Blockify Enterprise tier vs. standard chunking; the single Big Four benchmark measured a 68.44x aggregate. Source: Blockify Performance Analysis (methodology).
- $697 once vs. $2,060+ — loaded three-year cost per cloud copilot seat. Source: Forrester Total Economic Impact, cloud Copilot.
Run your own numbers: the air-gapped AI for government calculator, the cloud AI token cost comparator, or the cloud AI security assessment.
“Most ‘enterprise AI’ is a data pipeline to someone else's cloud with a chat window on top. We built the version where the intelligence comes to your data — not the other way around.”
Every prompt your team sends to cloud AI leaves your building.
Contracts, financials, patient records, deal data — piped to someone else's data center, retained under their terms, and useless to you the moment the connection drops. Legal won't approve it. Security won't trust it. And you pay rent on it forever.
AirgapAI runs the entire model on the laptop you already own.
No cloud round-trip. No per-token meter. No data processing agreement to negotiate. The same class of open models the big clouds run — installed like any other desktop app, deployable with the MDM you already use.
Measured outcomes. Not marketing.
Every number below has a named source you can check — the same standard we hold our workflows to.
Two technologies. One assistant.
The model runs where the data lives. That's why AirgapAI is deployed in SCIFs and satisfies HIPAA, CMMC/NIST, FedRAMP, and GDPR residency by construction.
Blockify distills your messy SharePoint, PDFs, and spreadsheets into validated IdeaBlocks before the model can touch them — 78× fewer hallucinations on enterprise data.
How it works
Install it anywhere — in minutes, not quarters.
Download and run on one laptop in about 10 minutes, or push to 10,000 endpoints in an afternoon with Intune, JAMF, or SCCM. No cloud tenancy, no data processing agreement, no six-month security review — there's nothing leaving the device for your CISO to review.
Your team clicks a workflow. Nobody writes a prompt.
More than half of employees have never written an AI prompt — and they won't. With 2,800+ pre-engineered workflows across sales, legal, HR, finance, healthcare, and government, every task is a button: pick the workflow, drop in the document, get expert output. That's why adoption hits 89% instead of stalling at 25% — an AI personal assistant for every employee, not a licence pool for the few who write prompts.
The output ships. The data never left.
Proposals, contract redlines, claim summaries, variance narratives — produced in seconds, on hardware you own, with zero bytes sent to any cloud. Add Blockify and the answers are grounded in your validated data with 78× fewer hallucinations. It compounds: every workflow your team runs is pure output, not a new line item.
“What stays on the laptop, stays on the laptop. If your AI needs your data shipped to someone else's servers to be useful, you don't have an AI strategy — you have a data donation program.”
Everything in the box
Each component would cost more alone than the whole bundle does together. That's deliberate.
AirgapAI Chat Application
The full local AI assistant for Windows and macOS. Installs like any desktop app. Lifetime updates on perpetual licenses.
100% On-Device2,800+ Done-For-You Workflows
Sales, marketing, legal, HR, finance, healthcare, insurance, government — engineered by domain experts, tested before shipping.
89% AdoptionEntourage Mode
@-mention @Legal, @Marketing, and @Finance in one chat and watch specialist personas produce one cross-functional answer — agent orchestration running entirely on the device.
3 Experts · 1 Chat6+ Open-Source Local Models
Arcee 4.5B, LLAMA 3.2 (1B/3B), Gemma 9B, QWEN, and more via GGUF. Pick the right brain per task and hardware tier — small language models sized to run on an Intel NPU or integrated GPU.
Runs On iGPU/NPULocal Document Ingestion
Drop in NDAs, contracts, transcripts, patient records — ask questions across them. Nothing is uploaded, ever.
0 Bytes LeaveCustom Workflow Builder
Describe a task in plain English and get a configured, reusable workflow back. Build unlimited internal automations.
Unlimited BuildsCompliance By Construction
SCIF-deployable, HIPAA / CMMC / NIST / FedRAMP / GDPR-residency aligned — because the data physically never leaves your control. Clinical teams can see how the same boundary produces HIPAA compliant AI.
CISO-ReadyFleet Deployment & Governance
Push via Intune, JAMF, or SCCM. Role-based workflow libraries, approval gates, audit logs, version control.
10,000+ SeatsBlockify™ Add-On (Enterprise tier)
Your messy files become validated IdeaBlocks before the model sees them. Near-zero hallucinations on your own data.
78× AccuracyAirgapAI vs. the cloud copilots
| AirgapAI | Cloud AI subscriptions | |
|---|---|---|
| Runs 100% on your device | ||
| Works offline — planes, SCIFs, remote sites | ||
| Your prompts stay out of third-party training pipelines | ||
| Price | $697 onceor $35/mo, free 7-day trial | $2,060+ per seat / 3 years (Forrester) |
| Unlimited prompts — no tokens, no overages | ||
| 2,800+ pre-built workflows included | ||
| HIPAA / CMMC / FedRAMP posture by design | requires contracts + review | |
| Fleet deploy via Intune / JAMF / SCCM |
Secure AI chat for enterprise: what stays inside the boundary
Most security reviews come down to one question: which bytes cross the network. With AirgapAI the answer is a short, fixed list — and it is the same list whether you are running one laptop or ten thousand. If the term itself is new to your reviewers, start with what is air-gapped AI.
- The model weights and every token of inference — generation happens on your CPU, GPU or NPU
- Prompts, responses and chat history
- Documents you ingest and the local index built from them
- The 2,800+ shipped workflows and any workflow your team builds
- Attachments a colleague would otherwise paste into a cloud chat window
- The installer download, once per machine or once per image
- Model packs you decide to add, on your schedule
- Product updates, which you can stage and push like any other app
- Nothing else: no telemetry, no prompt logging, no call-home check
- Your content is never used to train a model — there is no pipeline that could carry it
Deploy and scope it like any managed app
Push AirgapAI through Microsoft Intune, JAMF or SCCM, then scope workflow libraries by role so finance, legal and engineering each see their own set. No new identity system to stand up, and teams that would rather hand the rollout and update cycle to Iternal can run it as managed AI services.
Governance that survives an audit
Approval gates on published workflows, version control on the ones you build, and usage reporting by department — the evidence CMMC, HIPAA and FedRAMP reviewers ask for, without a third-party processor in the diagram.
Answers grounded in approved content
With the Blockify add-on, source files become validated IdeaBlocks before the model can read them, so a secure chat is also an accurate one — a documented 78× aggregate accuracy gain on enterprise data.
The alternative is the ungoverned path: IBM's 2025 Cost of a Data Breach report puts breaches involving ungoverned AI tools at roughly $4.6M on average (IBM, 2025). For the wider category, see private AI and private LLM deployment; for a build-it-yourself conversational rollout, see AI chatbot development services. For a ranked look at the wider field, see best AI for air-gapped environments, and for the job-by-job version, see Running AI on Data That Cannot Go to the Cloud.
$650M in pipeline. Proposals cut from 6 weeks to 2 days.
Fortune 500 sales teams use AirgapAI to draft proposals, research accounts, and rip through RFPs at 10× speed — generating $650M+ in net-new pipeline while competitors copy-paste deal data into ChatGPT and pray nothing leaks. That copy-paste habit is the textbook shadow AI risk: sensitive data quietly leaving the network with no audit trail.
Try it free for 7 days. The risk lives with us, not you.
You get full access for a week. No charge, no credit card hold, no "starter tier." If by day 7 it isn't measurably saving your team time, cancel inside the app and we never charge you a cent.
Buy the perpetual license? Same deal. Use it for 30 days — if it doesn't pay for itself, email us and we refund every penny. We'd rather lose a sale than have a customer regret one. Fewer than 0.5% of buyers ever ask.
- 7-day free trial — $0 today, full feature access
- 30-day money-back on perpetual licenses
- Cancel inside the app — no calls, no friction
- No data hostage situation — it's all on your machine anyway
Not ready to install anything? Two zero-commitment next steps.
Get the architecture in front of your CISO, or tell us about your environment and we'll tailor a demo to it.
Take it to your CISO first
The Security & Deployment Guide: data-flow diagram, SCIF/CMMC/HIPAA/FedRAMP compliance mapping, and a 10-point evaluation checklist.
Get the Security GuideEvaluating for a fleet, SCIF, or agency?
Tell us about your environment — we'll tailor a 15-minute demo with the right models, workflows, and deployment path for your rollout.
Book a Tailored DemoQuestions buyers ask before pulling the trigger
If your question isn't here, ask in the site chat for an instant answer or email support@iternal.ai.
What is AirgapAI?
How is this actually different from ChatGPT or Copilot?
Is $697 really cheaper than ChatGPT Enterprise long-term?
Will my employees actually use this?
What about hallucinations? Can I trust the answers?
Is it really approved for classified / SCIF environments?
Does AirgapAI work offline with no internet connection?
Is AirgapAI a private assistant, or does anything sync to a server?
What makes it secure AI chat for an enterprise fleet, not just one laptop?
What hardware do I actually need?
Which AI models are included?
Can I deploy it to my whole company?
What if it doesn't work for us?
The rest of the local-AI toolkit
AirgapAI Transcribe
100% local AI transcription + meeting notes. Audio never leaves the device. $29/mo (7-day trial) or $599 once.
Explore TranscribeAirgapAI Code
Secure agentic coding that never leaks your source. Runs inside your boundary. From $80/mo (7-day trial).
Explore CodeStop renting your AI. Start owning it.
Every month you wait is another $30/seat handed to a cloud provider that's training its next model on your data. Try AirgapAI free for 7 days. If we don't earn it, you don't pay it.
Start My 7-Day Free Trial — $0 TodayAirgapAI runs large language models 100% locally on your hardware. Available for both Windows and macOS, performance varies based on your device's GPU capabilities — better hardware means faster responses.
Windows: Running LLAMA 3.2 1B on Intel Core Ultra 7 165U with integrated graphics achieves approximately 100+ words per minute generation speed. An Intel 258V generates 1,800 words per minute.
macOS: Apple Silicon (M1/M2/M3/M4) provides excellent performance with unified memory architecture. M1 with 8GB+ RAM is the minimum requirement with 900+ words per minute generation speed.
| Minimum | Good | Better | Best | Ultra |
| Intel 165U/H | Intel 165H | Intel 258V | Intel 265V | Intel 268V |
| iGPU/NPU | iGPU/NPU | iGPU/NPU | iGPU/NPU | iGPU/NPU |
| 16GB RAM | 32GB RAM | 64GB RAM | 64GB RAM | 64GB RAM |
| LLAMA 1B | LLAMA 1B/3B | LLAMA 3B/8B+ | LLAMA 3B/8B+ | LLAMA 3B/8B+ |
Windows Requirements
- Large Language Model Inference Requirements:
- LLAMA 3.2 1B — 2024 Intel HD Integrated Graphics, 8GB vRAM minimum
- LLAMA 3.2 3B — 2025 Intel HD Integrated Graphics, 8GB vRAM minimum
- Arcee 4.5B (2025) — Intel Core Ultra or dedicated GPU, 8GB vRAM minimum
- GEMMA 9B — NVIDIA RTX 2000 or AMD equivalent
- QWEN 2026 — NVIDIA RTX 2000 or AMD equivalent
- LLAMA 3 8B — NVIDIA RTX 500 or AMD equivalent
- Additional open-source models supported via GGUF format
- Supported Operating Systems: Windows 10 and Windows 11
macOS Requirements
- Minimum: Apple M1 with 8GB+ of Memory
- Recommended: Apple M1 Pro/Max/Ultra or M2/M3/M4 series with 16GB+ of Memory for larger models
- Supported Operating Systems: macOS 12 Monterey or later