Private AI · Regulated industries
Enterprise AI where data never leaves.
A fine-tuned SQL model on the client's own servers, with field-level masking and every query logged.
Advanced AI — Private & Sovereign AI
Enterprise AI. Inside your walls.
Private language models on your servers or private cloud — so sensitive data never leaves your control.
- On-prem or private cloud
- No third-party API calls
- Field-level access control
The difference
What changes with Xendex.
Before
With Xendex
BeforeSensitive data sent to public APIs
With XendexModels run inside your network
BeforePer-token bills that grow with usage
With XendexPredictable infrastructure cost
BeforeLocked to a vendor's model roadmap
With XendexOpen models you control and version
BeforeSame answer for every user
With XendexResults masked per role, per field
What's delivered
Private & Sovereign AI, end to end.
Private LLM Deployment
Open-weight models on your hardware, VPC or air-gapped network.
- On-prem
- VPC
- Air-gapped
Fine-tuned Small Models
Compact domain models that are fast and efficient to run.
- Fine-tuning
- Distillation
- Quantisation
Private Text-to-SQL
Ask your databases in plain English — inside your firewall.
- NL-to-SQL
- Masking
- Audit
Governance Layer
Role- and field-level policies on every answer.
- RBAC
- Masking
- Policies
Complete Audit Trail
Who asked what, what they saw, and which policy applied.
- Logs
- Lineage
- Reports
How it's delivered
A clear path, with something to show at every step.
Each stage ends with a tangible output — so progress is visible, not promised.
Technology used
- Llama
- Mistral
- Qwen
- Gemma
- vLLM
- Ollama
- TGI
- Kubernetes
- GPU servers
- Private cloud
- SSO
- RBAC
Assess
Classify data sensitivity and review your infrastructure.
- Risk assessment
Select
Benchmark models on your data and size the hardware.
- Model benchmark
- Sizing plan
Deploy
Install, fine-tune and integrate inside your boundary.
- Private deployment
Govern
Apply access policies, masking and audit logging.
- Policy set
- Audit logs
Operate
Monitoring, updates and runbooks for your team.
- Runbooks
Proof
Already in production.
FAQ
Questions, answered.
Is a private model good enough compared with big cloud APIs?
For focused tasks a well-tuned model often performs comparably. Models are benchmarked on your data before you commit.
What hardware is needed?
It is sized to your workload — from a single GPU server to a cluster.
Can it run completely offline?
Yes, air-gapped deployments are supported.
Who maintains it?
Your team, with runbooks and training provided — or it is supported for you.
Need AI without the data risk?
Let's design a private deployment that fits your security requirements.