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Nothing leaves your network
Models, vector database and logs all run on servers you own or a private cloud tenancy you control.
Many teams want AI but can't send client records, patient notes or proprietary designs to a public API. Private and on-premise AI gives you the capability without the exposure: language models, search and assistants that run entirely inside your network or private cloud, under your access controls.
We deploy open models such as Llama, Mistral and Qwen on your hardware, connect them to your documents with secure retrieval (RAG), and log every request for audit. Designs are built with HIPAA- and GDPR-style requirements in mind — encryption, role-based access and data-residency controls — and can run fully air-gapped. It starts with a free working mockup on a sample of your data, followed by a fixed-price deployment.
The problem
Legal, healthcare, finance and engineering teams hold exactly the documents AI is best at reading — and exactly the documents policy forbids sending to a third-party model. The result is shadow AI: staff pasting sensitive text into consumer tools because there's no approved alternative.
Why it pays
LLMs, search and assistants that run inside your own network — secure RAG on private data, with full audit trails.
Models, vector database and logs all run on servers you own or a private cloud tenancy you control.
Secure RAG lets the assistant cite your policies, contracts and records instead of guessing — with source links for every answer.
Role-based permissions mean people only retrieve documents they're already allowed to see.
Every prompt, retrieved document and answer is logged so compliance teams can review usage.
For the most sensitive environments we deploy with no internet connectivity at all, including offline model updates.
How we deliver
Every engagement starts with a free working mockup, then a fixed-price build — no hourly drift, no surprises.
We review your data classes, compliance obligations and infrastructure with your IT and security leads.
A free working assistant on a sample dataset in an isolated environment, so you can judge answer quality first.
We install the models, retrieval pipeline, access controls and logging on your hardware or private cloud.
Staff onboarding, usage policies and documentation so your team can operate and extend the system.
Spec sheet
Fixed scope, agreed up front. You own everything we deliver — code, models, assets and documentation.
Use cases
Patterns we build again and again — adapted to your data, your tools and your customers.
Summarise notes and answer protocol questions on infrastructure designed around patient-data rules, without sending records to an outside API.
Search and compare clauses across thousands of agreements while client documents stay inside the firm's network.
Let engineers query manuals, CAD notes and incident reports without exposing proprietary designs.
Give staff instant, cited answers from internal policies with every interaction logged for review.
Models & tools
Model-agnostic by design: we pick per task and switch when something better ships.
Packages
Fixed price, quoted after a short scoping call — and only after you've seen the free mockup.
A private, cited assistant over a single document collection for one team.
1 knowledge base live
A governed private AI platform serving multiple departments, data sources and applications.
Multi-department rollout
FAQ
Still curious? Ask AURA, or email us and a human replies within one business day.
It means the language model, the document search and all logs run on infrastructure you control — your own servers or a dedicated private cloud tenancy — rather than a shared public API. Your prompts and documents are never sent to an outside AI provider.
Compliance depends on your whole environment and processes, so we don't certify systems. We design deployments around HIPAA- and GDPR-style requirements — encryption, access control, data residency, retention and audit logging — and document them for your compliance team.
Yes. We can deploy fully air-gapped, with models and updates transferred offline. This suits defence, critical infrastructure and other high-security environments.
With retrieval over your own documents, answers are often more useful than a general chatbot because they cite your actual policies and records. The free mockup lets you test this on your own data before committing.
It depends on users and model size. Many departmental deployments run on one or two modern GPU servers; we size the hardware precisely after discovery and can use quantised models to reduce cost.
Retrieval respects permissions synced from your identity provider, so the assistant only uses documents the user is already authorised to access.
You receive full documentation and training. We can also provide ongoing support and model upgrades under a fixed monthly agreement.
Keep exploring
Run Llama, Mistral, DeepSeek or Qwen on your own infrastructure behind an OpenAI-compatible API — and stop paying per token.
Chat with your company documents: cited, permission-aware answers from Drive, SharePoint, Notion and more — private by design.
AI readiness audit, ROI-ranked use-case roadmap, governance and a pilot-to-production plan for the enterprise.
Audit your OpenAI, Claude and Gemini spend and cut it with routing, caching, batching and open-source offload — quality held constant.
Tell us the outcome you need. We build a working mockup of the render, workflow or agent — at zero cost — so you judge results, not pitch decks.