ARIKI is an agentic knowledge system and lakehouse for AIOps and autonomous operations — MCP-native AI agents, RAG and local LLMs that observe, explain and act on your data, on your own infrastructure. It watches every service, explains what broke in plain language, and fixes the boring 99% itself.
Local models·your cluster·full audit trail·zero data egress
products, operators run in production — now with an AI brain that observes, explains, and acts. One workspace, one bill, your infrastructure.
A dark cockpit that surfaces only what needs attention. Watchdog learns each metric's normal range and catches the moment one starts drifting away from it — flagging the problem minutes before it would ever trigger an on-call alert.
Local LLMs with RAG over your own data — private by design. Plain-language root cause with the receipts attached.
MCP-native agentic automation — describe the outcome, your deputy ships it, runs autonomous operations and logs every step.
Incident management that turns noise into priority — one ranked queue, not 200 alerts.
Built-in SIEM, no vendor lock-in. Detections run where your data already lives.
The intelligence rides on infrastructure operators already trust — proven, not a science project.
The AI brain runs on local models you host. No prompts shipped to a third party, no unanonymised data leaving the building. Run it on any cloud, hybrid, or fully on-premise — with a full audit trail behind every action.
ARIKI is an agentic knowledge system and lakehouse for AIOps and autonomous operations. It unifies your data into open data lakes and runs AI — MCP-native agents, RAG and local LLMs — that observe, explain and act on your live operational data, from observability to autonomous operational intelligence.
An agentic knowledge system unifies your data with the AI that reasons and acts over it. ARIKI gives you an lakehouse plus the agentic layer — AI, AIOps and automation — on top, with no lock-in, on any cloud, hybrid or fully on-premise.
Yes. ARIKI is MCP-native: build, deploy and orchestrate autonomous AI agents that act on your operational data through the Model Context Protocol — bring your own agent, and the data never moves.
ARIKI runs local LLMs with RAG over your own indices and documents — private by design, so prompts and data never leave your cluster.
AIOps is AI-driven operations: anomaly detection, root-cause analysis and automated recovery. ARIKI watches every service, explains incidents in plain language and runs autonomous operations to fix the routine 99% before a human is paged.
Three minutes of a Tuesday night — an anomaly flags itself, the alert explains itself, the breach never happens. No human awake.
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