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KAI by KUEM

KAI: local processing first.

KAI helps analyze infrastructure data, explain events and prepare the next step. It is designed to prioritize processing on your own servers.

Works with Nexavia

Capabilities

Analyze. Explain. Recommend.

01

Compares infrastructure data

Uses available infrastructure data to explain events in context.

02

Separates observation from inference

Distinguishes what the data shows from conclusions drawn from it.

03

Shows supporting sources

Identifies the available sources behind an explanation or recommendation.

04

Recommends a next step

Suggests a next step based on the available data and operational context.

05

Requires confirmation before action

Keeps people in control by asking for confirmation before taking action.

06

Works with Nexavia

Uses data within Nexavia to support analysis, explanations and decisions.

How KAI works on your own servers.

With enough processing power and memory, servers at your premises can handle demanding analysis and run large language models. Compatible hardware accelerators, such as graphics processing units (GPUs), can substantially speed up supported workloads. KAI is designed to use this local capacity first. What it can process locally depends on the hardware, model and task.

Only the most demanding tasks that exceed the local setup may need external services, such as OpenAI or Anthropic. In those cases, the aim is to select the most capable language model suited to the specific task.

  1. Question
  2. Context
  3. Comparison
  4. Evidence
  5. Next step
  6. Confirmation

Configuration shapes response speed and quality.

KAI's internal settings affect response speed and answer quality. Both also depend on the hardware, models and available data.

The most demanding configuration work happens during the initial rollout, when KAI is adapted to the organization's needs and its responses are checked in practice. Once KAI is established, ongoing adjustments usually involve smaller corrections based on daily use.

Explore KAI with your use case.

Tell us what you need to monitor, connect or improve. Together, we will define a sensible data path and delivery model.

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