Autonomous
Workflows
for the
Intelligence Age
Orchestrate multi-model LLM pipelines, automate complex reasoning chains, and deploy enterprise-grade AI workflows — all from a single platform.
Powering next-gen teams at
Platform Capabilities
Built for the AI-native enterprise
Everything you need to design, deploy, and scale autonomous AI workflows.
Multi-Modal LLM Orchestration
Route tasks across GPT-4, Claude, Gemini, Llama, and custom fine-tuned models. Intelligent model selection based on task complexity, cost, and latency constraints.
Low-Code Automation Studio
Drag-and-drop workflow builder with 200+ pre-built nodes. Connect APIs, databases, and AI models visually.
Real-Time RAG Engine
Ingest, chunk, embed, and retrieve from your private knowledge bases in milliseconds. Always up-to-date, always accurate.
SOC 2-Ready Security
Enterprise-grade security out of the box. Audit logs, role-based access, data encryption at rest and in transit, and full compliance automation.
50+
LLM Models Supported
<50ms
RAG Query Latency
99.99%
Uptime Guarantee
200+
Pre-Built Integrations
How It Works
From idea to production in minutes
Define your workflow logic, connect your models and data, and deploy globally with built-in observability and guardrails.
Design Your Workflow
Use the visual canvas or code-first SDK to chain LLM calls, data transforms, and decision logic.
Connect Models & Data
Plug in any LLM provider, vector database, or enterprise data source with a single config.
Deploy & Observe
Ship to production with one click. Monitor cost, latency, and quality in real-time dashboards.
# Xentovia Workflow Config
name: "customer-support-agent"
version: 2.0
pipeline:
- step: "classify_intent"
model: "claude-opus"
fallback: "gpt-4o"
- step: "retrieve_context"
source: "knowledge_base"
top_k: 5
- step: "generate_response"
guardrails: true
stream: true
deploy:
regions: ["us-east", "eu-west"]
auto_scale: true
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