AI systems for real‑world operations.
Agents, data platforms, and engineers for enterprise and government.Agents, data platforms, and engineering teams for enterprise and government, built to run in production.
Why AI projects stall
Your knowledge is scattered.
Policies, manuals, spreadsheets, and chats live in different places.
Platform
Products built to run in production.
RantAI AgentsAgents
Deploy AI agents that handle real work, not just demos.
- Knowledge base & RAG
- Agent builder
- Artifacts
- Skills
HR Assistant
Capabilities
What you can build with RantAI.
- RantAI Agents
Knowledge Base & RAG
Answers grounded in your documents and data
- RantAI Agents
Agent Builder
Roles, tools, and guardrails for each agent
- RantAI Agents
Artifacts
Reports, docs, and code from a conversation
- RantAI Agents
Skills
Reusable capabilities shared across agents
- Services
Forward Deployed Engineering
Engineers working inside your environment
- RantAI Claw
Terminal UI
Keyboard-driven sessions, no browser required
- RantAI Claw
Web Control UI
Sessions, channels, and memory in one view
- RantAI Claw
ClawHub skills
Installable skills from a shared catalog
- RantAI Claw
Self-hosted runtime
Runs on your own infrastructure
Define the use case
Pick one workflow worth changing.
Build in your environment
Our engineers work inside your infrastructure.
Run and improve
Monitor, evaluate, and retrain in production.
Also available as software and AI engineering
Insights
The latest from RantAI.
Lifetimes for Pointers: How the Compiler Proves Your References Are Valid
Nov 4, 2026
Academy
Safe Pointers by Default: How References, Option, and the Unsafe Boundary Replace C's Pointer Chaos
Academy
The Pointer Hierarchy: References, Smart Pointers, and Raw Pointers — Choosing the Right Abstraction for Every Layer
Academy
Shared and Exclusive References: Rust's Pointer Discipline
Academy