AI that stays in
your building.
Run AGENTYX services on open-source models deployed inside your infrastructure. No call to OpenAI. No call to Anthropic. No data leaving your network.
Private Core Active
Where does your data go?
Select a deployment mode to see the data flow. The difference between these three paths is the core of the privacy argument.
The honest tradeoff
Private deployments trade frontier model intelligence for data sovereignty. Here is what that means in practice.
What you gain
- Full compliance with GDPR, NDAs, and internal data policies
- Zero third-party data processing agreements to negotiate
- Auditable infrastructure - you control the logs
- No vendor lock-in to OpenAI pricing changes
- Consistent cost model: infrastructure, not per-token
What you give up (for now)
- Top-tier reasoning depth on complex multi-step tasks
- Some multilingual nuance on low-resource languages
- Latest model capabilities before open source catches up
This gap closes every 3-6 months as open source models improve. For SQL generation, document Q&A, and email triage - it is already marginal.
Where it is already competitive
- NL-to-SQL on structured business schemas
- Document Q&A with grounding (RAG)
- Email triage, classification, and short drafts
- FAQ and chatbot responses
- Structured data extraction from documents
DataBridge Private - Live Demo
Ask a question in natural language. The open source model generates SQL, runs it against the sample ERP dataset, and returns the answer. No data leaves this session.
Sample ERP Dataset
ReadyResult will appear here.
Side-by-side model comparison
Send the same question to multiple open source models simultaneously. See which one produces the best SQL, the fastest response, and the most useful answer.
Run Comparison
Parallel queriesResults will appear here after comparison runs.
Three deployment tiers
Privacy and cost scale together. Choose based on your compliance requirements and volume.
DataBridge
OpenAI or Anthropic API. Frontier model quality. Data processed on their servers.
- GPT-5, Claude Sonnet, Gemini
- Best raw intelligence
- Data exits your network
- Requires DPA with AI provider
- Per-token cloud pricing
DataBridge OSS
DeepInfra API. Open source models (Qwen3.5, DeepSeek V3, Llama 4). Easier compliance posture.
- Apache 2.0 licensed models
- Near-frontier performance on SQL tasks
- Data goes to DeepInfra (not OpenAI)
- Usage-based open-source API pricing
- Multi-model comparison built in
DataBridge Private
Ollama or vLLM on your infrastructure or AGENTYX-managed dedicated VM. Absolute data sovereignty.
- Qwen3.5-32B or DeepSeek V3 distill
- Zero data egress - stays in your network
- Fully auditable (your logs, your control)
- GDPR, NDA, sector compliance: satisfied
- AGENTYX manages VM + model updates
Full comparison
Decision matrix| Criteria | Cloud Standard | Cloud OSS | On-Premise Private |
|---|---|---|---|
| Model quality | Frontier (GPT-5, Claude) | Near-frontier (Qwen3.5, DeepSeek) | Near-frontier (same models) |
| Data egress | Yes - to OpenAI / Anthropic | Yes - to DeepInfra | Zero |
| GDPR compliance | Requires DPA negotiation | Easier - fewer data flows | Fully controlled |
| NDA compatibility | Risk - external processing | Depends on client agreement | Yes - no external processing |
| Cost model | Per-token (cloud pricing) | Usage-based API pricing | Infrastructure flat rate |
| Setup time | Minutes | Minutes | 1-3 days with AGENTYX |
| Vendor lock-in | High (OpenAI pricing risk) | Low (switch models freely) | None |
| Audit trail | Provider controls logs | Provider controls logs | You control logs |