aruvii.AI
aruvii.AI
Simple Secured Controlled on your servers

Let your agents flow.
Stay in full control.

No code needed Data masked before the AI model
Up and running in under an hour.
Keep your apps free of AI complexity
Why AI projects slow down

AI is easy to demo. Hard to take to production.

The demo works. Getting to production is where teams hit the same four walls — build complexity, security, infrastructure, and cost visibility. aruvii.ai solves all four, so your teams don't have to.

Without aruvii.ai
With aruvii.ai
Build complexity
Every team rebuilds the same AI layer from scratch.
Switch LLMs — every app changes. Add a team — the time and cost repeats.
One AI layer. Every app connects to it.
Switch providers without touching your apps. New teams connect in days, not months.
🔒
Security & data visibility
No central view of what data is passed to the AI.
Salaries, contracts, customer records — into LLMs and tools with no oversight or log.
PII masked before it reaches any LLM or tool.
Every call logged. Full visibility of what moved, through which agent, and when.
🖥
Infrastructure
Every AI app needs its own deployment to run agents.
Each team provisions and maintains their own infrastructure. No shared foundation.
Agents run on aruvii.ai — nothing to host.
One runtime, deployed once inside your perimeter. Every agent runs there.
💳
Cost visibility
One invoice. No breakdown by team, agent, or call.
Overruns show up on the bill — not before it.
Cost tracked per team, per agent, per call.
Hard spending caps per team. Finance sees the breakdown before the invoice.
In practice: someone's API key is in a Jupyter notebook on a laptop that left the building. A scheduled job has been calling GPT-4 in a loop for three weeks and nobody noticed until finance did. When audit asks what the agents actually did last quarter, the honest answer is — we'd have to ask around.
What you get

Everything a team needs to build, run, and govern AI agents — without a six-month engineering project to get there.

A · build & manage agents

Your first agent live in minutes

Open the UI, write instructions for your agent, pick a model, attach tools. Access is scoped per workspace — each team sees and builds only what they're allowed to.

Connect to your own systems

Give agents access to your internal APIs, databases, file shares, and email. They can look things up and take action — on your data, inside your network.

Your model choice, not ours

OpenAI, Anthropic Claude, Google Gemini, Mistral, or your own local model via Ollama. Change the model behind any agent without touching the agent itself.

Pause, roll back, or change behaviour

From the UI. No tickets, no restart.

What does it take to trigger an agent?

Chat via the built-in UI, scheduled timer, REST API, or Kafka event — whatever fits how your team works. Custom triggers can connect any system or signal.

B · run securely on your infra

Sensitive data is masked before it reaches the AI model

The platform runs on your own infrastructure. Before any message is sent to an AI model, it is automatically scanned — personal details, credentials, and other sensitive content are masked or blocked, so only safe content leaves your network.

You own your API keys

Your AI provider keys are stored encrypted in your own database. Your billing relationship, your usage, your control — we never see your keys.

Deploy anywhere, air-gap ready

Runs on Docker, Kubernetes, ECS, GKE, AKS — any Docker-capable platform, on-prem or in the cloud. Optional offline deployment for classified environments, including fully air-gapped servers with no internet access.

Prompt injection blocked before it reaches the model

Every message is checked before it reaches the AI model. Injection attacks are blocked or safely rewritten. What happened and why is in the audit log.

C · stay in control

What does each agent cost?

Token usage and cost are tracked at the workspace level, broken down per agent and per team. No shared quota blindspots — every team sees exactly what they're consuming.

Hard spending limits

Set a cap. Hit it, that agent stops. The rest keep running.

A complete audit trail

Every prompt, every tool call, every response is logged with a trace ID. Export it for compliance, share it with auditors, or just use it to debug a bad response.

Why not the alternatives?

Every team considers three options. Here's how they actually play out.

Cloud AI
Build yourself
aruvii.ai
Platform runs on your servers
Fast to start trialling
PII masking built in
you build it
Prompt injection protection
you build it
Hard spending caps — per team
custom logic
Audit trail out of the box
6–12 months
Multi-model, no vendor lock-in
No ongoing engineering cost
Annual licence, not per-token
How it works
  1. 1

    Connect your AI model

    Paste in an API key for OpenAI, Claude, Gemini, or Mistral — or point to your own local model for a fully offline setup. The key is encrypted immediately and stays in your database.

  2. 2

    Create an agent from the UI

    Give it a name, write instructions for your agent, attach the tools it needs, set who has access. Hit save — the agent is live instantly.

  3. 3

    Trigger it any way you like

    Chat via the built-in UI, call the REST API from your app, publish a Kafka event, or run it on a schedule. Wire up custom triggers to connect anything else.

What we help with

Most teams figure it out on their own within a week. Some want help getting to the first useful agent faster, or wiring it into systems that take more than the standard connectors. That's what this is for.

Finding the right first agent

We spend an hour with your team, map out the highest-value automation opportunities, and help you pick the one that will show results fastest — so you're not guessing where to start.

Connecting your systems

If you need an agent to talk to an internal API, a specific database, or a SaaS tool that isn't covered out of the box, we build the connector and hand it over ready to use.

Getting the agent to behave correctly

We test edge cases, rewrite prompts, and keep iterating until the agent's outputs match what your team actually needs — not just what looks right in a demo.

Wiring it into your existing stack

SSO, audit log export, SIEM integration, identity provider setup — we handle the work that sits between aruvii.ai and the rest of your infrastructure.

Who we are

Built by the people who'd be on the hook for running this in production.

A founder and two co-founders. Around fifteen years between us across engineering, middleware, distributed systems, DevOps, and cloud — most of it inside banks, telcos, and public-sector platforms. The kind of environments where a misconfigured integration becomes a regulatory conversation.

Every decision in aruvii.ai comes from something we've lived through. The hard spending caps, the audit log on every call, the fact that your API keys never leave your database — none of it is theoretical.

Pricing

Annual licence. No usage meters, no per-token billing that surprises you at month-end.

Team

$30K

billed annually

Up to 10 concurrent agents. Everything you need to build and run agents — chat interface, REST API triggers, tool connections, spending caps, and a full audit log.

Get started →
Business

$45K

billed annually

Up to 50 concurrent agents. Everything in Team, plus SSO, advanced PII masking rules, audit log export, and priority support.

Get started →
Enterprise

Contact sales

custom terms

Unlimited agents. Custom deployment, SLA, and support terms to fit your organisation's requirements.

Talk to us →

Channel & reseller partnerships — open to system integrators and consultancies. Get in touch →

Get in touch — demo or anything else.

Want to see it live, ask a question, or explore a partnership? Fill in the form and we'll get back to you within one business day.

✓ Thanks — we'll be in touch within one business day.

Or email support@aruvii.ai

aruvii.ai  ·  Tamil 'aruvii' means waterfall  ·  knowledge that flows continuously, within the boundaries you set.