# AI that never leaves the building.

> Self-hosted and private LLMs on your cloud or your hardware. Open-weight models, GPU serving, zero data leaving your perimeter. GDPR and LGPD friendly.

URL: https://ai.arcvs.tech/en/services/private-ai · Português: https://ai.arcvs.tech/pt/servicos/ia-privada.md · ARCVS AI: https://ai.arcvs.tech/en.md

Open-weight models served on your cloud account or your own GPUs. Same agent and RAG capabilities, zero prompts or documents sent to a third-party API. For legal, health, finance and anyone whose data can't travel.

- **Week 1**: Prototype on your data
- **Day 30**: Production pilot
- **100%**: Yours: code & weights

## "Just send it to the API" isn't an option for everyone.

Regulated data, client confidentiality and contracts often forbid sending documents to external AI providers. Modern open-weight models are good enough for most business tasks, and we make them fast, secure and maintainable on your infrastructure.

## What we build

- **Private assistant**: A ChatGPT-style assistant for your team, running on your servers, with your SSO and audit logs.
- **Confidential document processing**: Contracts, medical records and financial files processed without leaving your network.
- **Air-gapped classification**: Small local models that classify and route data fully offline, the way our own prospecting classifier does.
- **Hybrid routing**: Sensitive requests stay local; non-sensitive ones can use frontier APIs. One policy decides.

## What you get

- Model selection benchmarked on your tasks
- GPU sizing and serving (vLLM, Ollama, TGI) on cloud or on-prem
- SSO, audit logs, rate limits and network isolation
- Quantization and optimization for your hardware budget
- Update path for new open-weight releases

## Stack

Llama, Qwen, Mistral, Gemma, vLLM, Ollama, Kubernetes, AWS, GCP, Azure

## FAQ

### Are open models good enough?

For most business tasks such as extraction, classification, summarization and RAG, yes, especially after fine-tuning. We benchmark against a frontier model on your tasks so you see the gap before deciding.

### What hardware do we need?

It depends on model size and traffic. Many workloads run on a single modern GPU. We size it from your real volume, not a spec sheet.

### Is it GDPR / LGPD compliant?

Keeping processing inside your perimeter removes the biggest transfer risk. We document data flows to support your DPO's assessment.

### Who maintains it?

Your team, with our runbooks, or us on a monthly plan. No lock-in either way.

## Other capabilities

- [AI agents](https://ai.arcvs.tech/en/services/ai-agents): Agents that use your tools, follow your rules and finish real tasks end to end.
- [Agentic orchestration](https://ai.arcvs.tech/en/services/multi-agent-orchestration): Planner, workers and reviewers that run in parallel, with one owner of state and a full audit trail.
- [Model training & fine-tuning](https://ai.arcvs.tech/en/services/llm-fine-tuning): Fine-tuned and distilled models that win on your task, run cheaper, and belong to you.
- [RAG & knowledge systems](https://ai.arcvs.tech/en/services/rag-knowledge-systems): Search and answers over your company data, with citations, permissions and measured accuracy.
- [AI automation](https://ai.arcvs.tech/en/services/ai-automation): Workflows where AI reads, classifies and decides, and code does the rest. Measured in hours reclaimed.
- [AI security](https://ai.arcvs.tech/en/services/ai-security): Red teaming for LLM apps and agents: prompt injection, data leakage, excessive agency, insecure tools.
- [OSINT & security audits](https://ai.arcvs.tech/en/services/osint-security-audits): Your exposure, seen from outside: breaches, leaks, forgotten assets, CVEs. Then authorized testing and fixes.

## Contact

- WhatsApp: +5532999143361 (https://wa.me/5532999143361)
- Telegram: @w1ldcrow (https://t.me/w1ldcrow)
- Email: contact@arcvs.tech
- Contact section: https://ai.arcvs.tech/en#contact
- Parent studio: https://www.arcvs.tech