Unify the full lifecycle of enterprise AI agents
Multi-engine access, OpenAI-compatible API, full observability. Self-hosted — make AI safe, controllable and production-ready inside your enterprise.
Engines integrated
curl https://api.veyraos.net/v1/chat/completions \
-H "Authorization: Bearer sk-..." \
-d '{"model": "agent-001", ...}'
Enterprise agents, managed end-to-end
From creation, deployment, calls to monitoring — the full agent lifecycle.
Multi-Engine Access
One platform for Hermes, OpenClaw, Dify, Claude Code and more — routed per agent instance, never locked in.
OpenAI-Compatible API
Each agent gets its own API key. Standard OpenAI interface means existing SDKs connect with zero changes.
Skills & Tools Ecosystem
Built-in skill framework with MCP tools and a capability marketplace — extend agent abilities on demand.
End-to-End Observability
Call traces, token usage and run logs in one place. Pinpoint issues fast, see agent state at a glance.
Multi-Tenant & Granular RBAC
User-role-permission model, group-level isolation, permissions down to each operation — fits enterprise orgs.
Self-Hosted Deployment
On-premises, data never leaves your network. Built for finance, government and other regulated scenarios.
Intelligent Model Routing
Task-aware model selection balancing cost and channel health in real time, with automatic failover and per-call audit.
Cloud-native four-layer architecture
Built on Kubernetes — clear layers, elastic scaling, highly available.
From creation to calls — four steps to production
Minimal workflow — deploy and integrate an agent in minutes.
Create Agent
Start from a template or from scratch — configure engine, skills and model params.
Deploy
One-click deploy with automatic K8s scheduling and lifecycle management.
Issue API Key
Generate independent credentials and call quotas, manage authorization on demand.
Integrate
OpenAI-compatible endpoint — any language SDK connects directly.
from openai import OpenAI
client = OpenAI(
api_key="sk-veyra-xxxxxxxx",
base_url="https://api.veyraos.net/v1",
)
response = client.chat.completions.create(
model="agent-data-analyst", # agent ID
messages=[{"role": "user", "content": "Analyze last month sales"}],
stream=True,
)
Agent practices across industries
Finance, manufacturing, retail, healthcare and more — powering enterprise intelligence.
Finance
Customer service QA with automatic compliance risk detection — improve quality and compliance, cut manual review cost.
Manufacturing
Supply chain risk alerts before disruptions hit — smart analysis of supply data aids decision-making.
Retail
E-commerce review insight mining — quantify feedback, auto-extract product pros and cons for iteration.
Healthcare
Medical document structuring — auto-extract key metrics from records and lab reports efficiently.
Data Ops
Data analysis advisor — natural-language business questions give non-technical staff data insight directly.
Marketing
Market research assistant — auto-aggregate public info, fast competitor analysis and industry reports.
Flexible deployment, pick what fits
From small dev to enterprise production — three options cover every scenario.
Single Node Quick Deploy
k3s one-command spin-up — ideal for small-scale trials and dev environments. Up in minutes.
- Single-node k3s cluster
- Built-in PostgreSQL + MinIO
- For dev & test environments
Cloud-Native Cluster
Standard Kubernetes deployment with elastic scaling and high availability — built for large-scale production.
- Standard K8s cluster
- Elastic scaling + HA
- Enterprise SLA
- Full monitoring & alerting
On-Premises
Data never leaves your network — built for finance, government and other high-compliance scenarios. Fully sovereign.
- Offline intranet deploy
- 100% data sovereignty
- Compliance support
- Dedicated support
Start building your enterprise agent platform
Free to try, no credit card. Deploy in minutes and start your enterprise AI journey.