Private Agent Systems for Your Industry
Discover how enterprises across industries deploy private AI agents - zero data leakage, full control.
Legal Document Review
Law firms and compliance teams use private agents to redline contracts, extract clauses, and summarize case law - zero data leaves the network.
- Confidentiality guaranteed
- 90% faster reviews
- Automatic clause extraction
Manufacturing Quality Control
Factory floor agents analyzing sensor data, predicting defects, and generating maintenance schedules - air-gapped deployment.
- Predictive maintenance
- Real-time defect detection
- 40% downtime reduction
Financial Risk Analysis
Banks running private LLMs on transaction data for fraud detection, regulatory reporting, and portfolio risk scoring.
- Real-time fraud detection
- Regulatory compliance
- Automated reporting
Healthcare Data Processing
Hospitals using private agents for patient record summarization, ICD coding, and clinical trial matching - HIPAA/GDPR compliant.
- GDPR & HIPAA compliant
- Automatic ICD coding
- 80% less manual work
Internal Knowledge Base
Engineering teams deploying private RAG agents over proprietary codebases, Confluence, and Jira - on-prem vector DB.
- Company-wide searchable knowledge
- Code context in seconds
- No SaaS dependency
Supply Chain Optimization
Logistics companies using agents for demand forecasting, route optimization, and supplier risk assessment.
- 30% cost savings
- Automated route planning
- Supplier risk scoring
Deploy in Minutes
One command. Your model. Your infrastructure. No data leaves your network.
How Private AI Gets Deployed
Click on nodes to reveal infrastructure and data flow details.
Private AI vs. Cloud APIs
See why enterprises switch to private deployments for mission-critical AI workloads.
| Feature | Cloud APIs | NexPatch Private AI |
|---|---|---|
| Data Sovereignty | Data leaves your network | 100% in your VPC/on-prem |
| Cost at Scale | Token-based, scales linearly | Fixed cost, predictable |
| Latency | 50-200ms (network-dependent) | <10ms (local network) |
| Customization | Limited / no fine-tuning | Full fine-tuning, RAG, custom agents |
| Compliance | Shared responsibility | GDPR, EU AI Act, SOC 2 compliant |
| Vendor Lock-in | API-dependent | Open-source models, portable |
| Reliability | Provider outages possible | Self-hosted, 99.9% SLA |
Benchmark Results
Real-world performance metrics from production deployments on dedicated GPU infrastructure vs. cloud API alternatives.
Inference Latency
Throughput (req/s)
Cost per 1M Tokens
Benchmarks measured on production workloads. Results may vary depending on model size, hardware configuration, and data complexity.
Build with Our APIs
Clean, well-documented APIs and SDKs in your language of choice. Deploy agents, run pipelines, and query models programmatically.
- Full REST & gRPC API with OpenAPI specs
- Python SDK with async support
- TypeScript SDK for full-stack apps
- Webhook integrations for CI/CD pipelines
- Token-based auth with fine-grained scopes
from nexpatch import PrivateAI
client = PrivateAI(api_key="nxp_...")
agent = client.agents.create(
name="contract-reviewer",
model="llama-3.1-70b",
target="vpc",
gpus=4,
tools=["document_search", "summarize"]
)
result = await agent.run(
"Review this NDA for non-compete clauses",
documents=["contract.pdf"]
)
print(result.summary)