AI Workflow Orchestration

Deploy AI Workflows
In Your Cloud

Grove is the enterprise orchestration platform for production AI. Build multi-step workflows as DAGs, route across LLM providers, and run everything in your own infrastructure — with the durability and auditability your organization demands.

Why Grove

Built for Enterprise AI

Your Cloud, Your Control

Deploy in your own infrastructure. No data leaves your environment. Air-gap compatible for the most sensitive workloads.

DAG-Based Orchestration

Define workflows as directed acyclic graphs. Automatic parallel execution, dependency resolution, and fan-in/fan-out patterns.

Multi-Provider LLM Routing

Anthropic Claude, OpenAI, Google Gemini, Azure OpenAI, and Vertex AI in a single workflow. Route per-node. No vendor lock-in.

Production Durability

PostgreSQL-backed crash recovery. Resume from the last checkpoint. Every execution persisted and auditable.

Platform Architecture

How Grove Works

Define workflows as DAGs. Grove handles execution, parallelism, streaming, and recovery — in your infrastructure.

Your Application
TypeScript SDK
Graph Builder + Streaming
REST API
Any Language
SSE Stream
Real-time Events
GROVE CORE
Rust · Tokio · Axum
DAG Scheduler LLM Broker Tool Router Session Manager Crash Recovery Secrets Vault
PostgreSQL
Durability & State
LLM Providers
Claude · GPT · Gemini · Azure OpenAI · Vertex AI
External Tools
MCP Servers & APIs
Deploys to: AWS (EKS) · Azure (AKS) · GCP (GKE) · On-Premise · Air-Gapped
Capabilities

Everything You Need for Production AI

External Tool Execution

LLM workflows pause while your application executes tools locally. Credentials never leave your environment.

Crash Recovery

PostgreSQL-backed checkpointing. Runs resume from the last completed node — no lost work, no re-execution.

Real-Time Streaming

SSE event streams deliver node-by-node progress to your UI. No polling required.

Encrypted Secrets

AES-256-GCM encryption at rest. API keys and credentials stored securely, decrypted only during execution.

MCP Server Integration

Register external tool servers via the Model Context Protocol. Tools are auto-discovered and proxied to LLMs seamlessly.

Sessions & Memory

Multi-turn conversation context with rolling summarization and hierarchical key-value memory per session.

  • AES-256-GCM Encryption
  • Air-Gap Compatible
  • Audit Logging
  • Self-Hosted — Your VPC
  • Enterprise License Tiers

Ready to deploy AI workflows in your cloud?

Contact Sales