Your AI. Your GPUs. Your Data Never Leaves.
On-premise AI means your AI agents and language models run entirely on your own hardware - inside your building, on your GPUs, behind your firewall. No data ever leaves your network. Inwizards builds, deploys, and maintains private AI systems using open models like Llama and DeepSeek.
You want AI. Your compliance team says the data can't leave. Both are right. Nearly every AI platform on the market is cloud-only — your documents and customer records flow to someone else's servers. Almost nobody builds custom AI that runs inside the client's own infrastructure. That is exactly what Inwizards does: the full AI stack, deployed on your GPUs, behind your firewall.
Built for the teams whose data can't leave
Regulated, sensitive, and residency-bound — the industries where on-premise is the clearest answer.
Finance & Banking
Client records, transactions, and deal data stay inside the bank - AI assistants your risk and compliance teams can actually sign off on.
Healthcare
Patient data never touches an outside API. Private assistants for records search, clinical notes, and admin - inside your own network.
Government & Public Sector
Citizen data and internal documents stay on infrastructure you control - with air-gapped deployment where policy requires it.
Legal
Privileged client files stay privileged. AI for research, drafting, and document review that never leaves the firm.
EU & Data Residency
GDPR and the EU AI Act make "where does the data go?" a board-level question. On-premise is the clearest answer: it goes nowhere.
AI agents for Europe →IP-Sensitive & Defense-Adjacent
Contractors, R&D teams, and manufacturers whose designs are the business. Fully isolated AI with zero external calls.
The full private AI stack, on your hardware
Everything below runs inside your network. "Open models" are AI models whose weights you can download and run yourself - no vendor lock-in, no per-question fees to a cloud provider.
Open-Weight Models
Llama 3.x, DeepSeek, Mistral, and Qwen - proven open models we select, deploy, and tune for your use case. You own the deployment outright.
→ 02Fast Local Serving
Models served with vLLM and Ollama - the engines that make open models fast enough for real daily work on your own GPUs.
→ 03RAG Over Your Documents
Retrieval-augmented generation: the AI answers from your files, wikis, and records using a local vector database - the documents never move.
→ 04Private AI Agents
Agents orchestrated with LangChain, LangGraph, and CrewAI that search, draft, and update your systems - all inside your firewall.
→ 05Fine-Tuning on Your Data
LoRA fine-tuning - a lightweight way of training - teaches the model your domain language and formats. Training runs on your hardware too.
→ 06Air-Gapped Option
For maximum-security environments, the entire stack runs with no internet connection at all. Updates arrive by controlled transfer.
→What teams actually run on it
Private AI isn't an experiment — it's daily work. These are the workloads we deploy behind firewalls most often.
Internal Knowledge Assistant
Ask questions across contracts, policies, wikis, and records — and get answers with citations, from documents that never left your network. The most common first deployment, because every department benefits.
Document Review & Drafting
Contracts summarized, clauses compared, first drafts produced — on privileged and confidential files that cannot legally or contractually touch a third-party cloud.
Support & Intake Automation
Tickets classified, answers drafted from your internal knowledge, and structured intake handled — with customer data staying inside the systems where it already lives.
ERP & Odoo Intelligence
The same agents that score leads, enrich records, and draft follow-ups in your Odoo can run entirely on your own GPUs — ERP intelligence and data privacy in one system.
Report & Compliance Drafting
Recurring reports, summaries, and regulatory drafts assembled from internal data sources — reviewed by your team, never seen by anyone else's servers.
Domain-Tuned Assistants
Models fine-tuned on your terminology, formats, and past work via LoRA — a specialist assistant for underwriting, engineering, or clinical admin that speaks your language, trained on your hardware.
What does it run on?
On-premise AI runs on NVIDIA GPUs - graphics processors that happen to be very good at running AI models. You do not need a data center to start. The right hardware depends on the model size and how many people will use it - and buying wrong is expensive. So we assess first, recommend second, and you purchase only what your workload actually needs.
How hardware scoping works.
Cloud AI vs on-premise AI
Not every company needs on-premise. If you do, you already know why. Here is the trade-off, honestly.
Cloud AI
On-Premise AI with Inwizards
The honest answer
If your data is allowed to live in the cloud, cloud is simpler - start with our AI agents platform or hosted AI agents. If it is not allowed to leave, we build the alternative almost nobody else offers.
Get a straight answer for your case →Security by architecture, not by promise
Cloud vendors ask you to trust their paperwork. On-premise removes the question: the data can't leak to a cloud it never touches.
Zero External AI Calls
Models, prompts, documents, and answers all live and run on your hardware. There is no outside AI API in the loop — not as a fallback, not for "telemetry," not at all.
Air-Gapped Option
For maximum-security environments the entire stack runs with no internet connection whatsoever. Model updates and patches arrive by controlled, auditable transfer.
Your Access Controls
The system sits behind your firewall and plugs into your existing identity stack — SSO, role-based permissions, network segmentation. The rules that govern your servers govern your AI.
Auditable End to End
Every query and every agent action is logged on infrastructure you control — so audit answers come from your own logs, not a vendor's word.
Residency by Definition
Data-residency and sovereignty requirements are satisfied structurally: the data stays in your building, in your jurisdiction, because it physically never leaves.
You Own Everything
Hardware, deployment, fine-tuned weights, and IP are yours, under NDA from the first call. No per-question fees, no subscription hostage — no lock-in, not even to us.
The questions they'll ask — answered before the meeting.
And the ones IT will ask right after.
From first call to AI behind your firewall
A phased approach that proves value before you invest in hardware.
Assess & Scope
We map your use case, data sources, and compliance rules - then scope the exact model size and GPU hardware before you buy anything. You get a written plan with fixed pilot pricing, under NDA from the first call, so there are no surprises later.
→ STEP 02Pilot One Use Case
We prove value on a single focused use case first - usually document answering or support intake - measured against your real workload, so you commit to hardware with evidence, not hope. If the pilot doesn't earn the rollout, we tell you so.
→ STEP 03Deploy Behind Your Firewall
We install the full stack - model, serving engine, RAG pipeline, agents - on your GPUs, inside your network, integrated with your identity and access controls. Air-gapped installation available where policy demands zero internet connectivity.
→ STEP 04Train Your Team
Your people learn to run, use, and extend the system - admins get operations training, end users get working sessions, and you get the documentation. You own it outright: hardware, deployment, and fine-tuned weights. No lock-in, not even to us.
→ STEP 05Maintain & Update
We monitor, patch, and upgrade to better open models as they ship - on your schedule, in your network, with usage reviewed together so the system keeps earning its place. Support runs from three offices across USA, UAE, and India.
→A partner that ships.
Offices in the US, UAE, and India - custom software since 2009.
Go4WhatsUp
Our own WhatsApp business automation product — conversations, broadcasts, and workflows we built, shipped, and support for real businesses. Running production systems is our normal, not our pitch.
OnlineeMenu
Our restaurant POS and ordering product, handling real daily operations. Software that cannot fail at dinner rush teaches you exactly how to build systems that cannot fail, period.
Amazon Connector for Odoo
Our connector syncing Amazon selling operations into Odoo ERP. It's why deep ERP work — and putting private AI inside it — is home turf for our engineers.
Prefer cloud?
Explore the platform.
If your data is allowed in the cloud, the Inwizards AI agents platform is the faster start — same team, same agents, hosted for you.
AI Agent Types
Sales, demo, support, onboarding, qualification, and appointment agents — your 24/7 AI revenue team.
See the agents →How It Works
Launch a live, revenue-generating agent in days — no engineering required.
See the process →Industries
Playbooks for healthcare, real estate, finance, logistics, retail, and more.
See industries →Integrations
Salesforce, HubSpot, Odoo, Zendesk, and the rest of your stack — with an open API and webhooks for anything custom, built and maintained by our own engineers.
See integrations →Security
Security by architecture: encrypted conversations, role-based access, full audit logs — and this page's option, where data never leaves your network at all.
See security →Pricing
Priced to your use case and volume — with a fixed-scope pilot before you commit.
See pricing →On-premise AI questions
Straight answers on cost, hardware, quality, and privacy.
Two parts: the hardware, which you buy once and own, and the build, which is scoped to your use case. We scope both in a fixed discovery phase before you commit to anything - so you know the full picture on hardware, build, and ongoing support before spending on GPUs.
It depends on the model size and how many people will use it. A focused team assistant can run on a single NVIDIA RTX workstation; company-wide deployments usually need a multi-GPU server. We assess your workload and recommend hardware before you buy anything.
For focused business tasks - answering from your documents, drafting, classifying, automating workflows - yes, for most use cases, especially with RAG and fine-tuning on your data. For frontier-level open-ended reasoning, cloud models still lead. We will tell you honestly which one your use case needs.
Yes. The models, your documents, and every prompt and answer stay on your hardware inside your network - nothing is sent to any outside AI provider. If you need maximum isolation, we can deploy fully air-gapped, with no internet connection at all.
Yes. We fine-tune open models on your domain data, typically with LoRA - a lightweight training method - so the AI learns your terminology and formats. The training itself runs on your hardware, so that data never leaves either.
Yes. We monitor the system, apply updates, and upgrade models as better open models are released. We also train your team to run and extend it, so you are never locked in - not even to us.
Let's put AI inside your firewall.
Tell us what you want AI to do and what your data rules are. We'll map your highest-value private AI use case, scope the exact hardware, and give you a fixed pilot plan - before you buy a single GPU. Usually within one business day.