Products
AI products built for real operations.
Four products that work together, from your data to the agents that act on it.
How it fits together
One request, four products.
- 01 · Your dataVisitor data sits in three different systems.visits_2024PostgreSQL · Not connectedNot connectedBorder counts.xlsxExcel · Not connectedNot connectedHotel bookingsREST API · Not connectedNot connected
- 02 · RantAI LakehouseLakehouse brings it into one clean table.visitors_clean 3 sources merged
- Malaysia1.61M
- Singapore1.48M
- Australia1.19M
- China0.98M
- 03 · RantAI LLMOpsLLMOps tunes a model on your numbers.
Training loss
Accuracy
71%
89%
on your test set
- 04 · RantAI ClawClaw runs the report every month.Every 1st · 07:00
$ rantaiclaw run monthly-report
✓ query visitors_clean
✓ summarise with tourism-model
✓ build monthly-report.pdf
✓ post to #tourism-office
- 05 · RantAI AgentsAgents answers your team in seconds.
How did visitors change this month?
Up 12% on last month, led by Malaysia and Singapore.
monthly-report.pdf
In action
Try each product.
Agents
Deploy AI agents that handle real work, not just demos.
- Knowledge base & RAG
- Agent builder
- Artifacts
- Skills
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
Engineering services
