Platform Overview

Build your expert. Put it everywhere.

Kairos gives your team the tools to build AI experts around your knowledge, standards, and judgment, then deploy that expertise to observe, instruct, evaluate, and debrief across training and live operations.
HOW KAIROS WORKS

Build the Expert. Deploy the Expert. Trust the Expert.

Your team builds the expert around your standards, scenarios, and judgment. Kairos provides the tools to create and deploy that expertise across training and live operations, from real-time instruction to independent evaluation and debrief.
LAYER 1

Build the Expert

Capture the knowledge that defines performance.
Rapid multimodal training
SME knowledge encoding and elicitation
Docs and doctrine ingestion
Domain models tuned or used as-is
Fast additions and edits
LAYER 2

Deploy the Expert

Put that expertise wherever performance happens.
Real-time proactive guidance
Pre-task briefings
Post-task debriefs
Detailed root cause analysis
Adaptive learning levels
Skill evaluation with assistance off
Operator assistance on the job
LAYER 3

Trust the Expert

Keep every decision grounded and traceable.
Traceability and guardrails
Cites its sources
Persistent student memory
On-premise, cloud, or hybrid
APIs and integration
BUILD THE EXPERT

Turn your expertise into instruction.

01

Data ingestion and normalization

Kairos perceives telemetry up to 60Hz, audio, and video through a partner-agnostic adapter layer. Inputs are normalized before the runtime engine evaluates them.
02

SME knowledge elicitation

Expert judgment is captured as personas, escalation rules, and tolerances that experts can adjust in plain language. Human review remains part of the workflow.
03

Doctrine and reference grounding

Manuals, SOPs, curriculum, and rubrics are indexed for retrieval. Instruction cites the source behind the guidance.
04

Domain models and fast additions

Domain models can be tuned or used as-is. New maneuvers, skills, and exercises stand up in days as configuration your experts approve, with every change versioned.

Build the scenario. Run it. Watch Kairos show its work.

Kairos ships with a library of ready-made scenarios and shows its reasoning behind every call. Shape it to your doctrine, then prove the change holds before it reaches a learner.
01 / Scenario Designer

Start from a scenario, not a blank page.

Traffic pattern and landing arrives with an entry gate, phase-by-phase rules, and the flown path already mapped. Shape it to your doctrine with the AI assistant instead of building a drill from scratch.
02 / Session Review

See exactly why Kairos said it.

Replay any session end to end and read the reasoning behind each instruction, timestamped against the telemetry. Adjust a call to match your standard, then rerun the session to confirm it holds.
WHY KAIROS WORKS THIS WAY

Effective instruction requires more than giving the right answer.

Timing matterS

0.76 vs 0.31 SD

Instruction has to arrive while someone can still act on it.

Research comparing tutoring approaches found substantially stronger learning outcomes when feedback was delivered at the step level rather than only after an answer was completed.

Step-based tutoring reached 0.76 SD while answer-only systems reached 0.31 SD. One-to-one human tutoring was 0.79 SD in the same review.
Independence matters

+48% / -17%

Assistance has to come off when you need to know what someone can actually do.

Research has also shown that unrestricted AI assistance can improve performance during practice while reducing subsequent unassisted performance.

Unrestricted GPT access improved practice performance by 48% but reduced unassisted exam scores by 17%. A properly guarded tutor removed the harm in the study.
DEPLOY THE EXPERT

From live signal to the intervention that matters now.

01 / Sense

Understand what is happening

Kairos parses every stream in real time. Edge and cloud models produce normalized, scored signals from telemetry, audio, and video.
02 / Session PLan

Know what good performance requires

A machine-readable session plan describes the exercise and the standards against which performance is evaluated.
03 / Kairos Core

Decide what matters now

Not every mistake deserves an interruption. The ranking model determines what needs attention now, what can wait, and when saying nothing is the right instructional decision.
04 / Communication Model

Deliver the right intervention

Time-sensitive corrections can arrive in under a second. More complex instruction draws on doctrine, expert judgment, and the context of the task. Anything better addressed afterward is preserved for the debrief.
TRUST THE EXPERT

Built for environments where review and deployment matter.

Property
How KAIROS implements it

Traceability and guardrails

Every intervention can be reconstructed from the observed performance through the rules and sources that informed it, with human review built into the workflow.

Grounded citations

Manuals, SOPs, curriculum, and rubrics provide authoritative references so instruction can be connected back to the sources your organization trusts.

Persistent student memory

One configurable profile per learner is read and written by briefings, live guidance, evaluation, and debrief.

Deployment flexibility

Deploy on-premise, in the cloud, in hybrid environments, or fully disconnected, with edge inference and a language model component that can run locally.

APIs and integration

Simulator adapters, LMS connectivity, and APIs let Kairos work with the systems you already have rather than requiring you to replace them.
START A CONVERSATION

Bring us the task your experts struggle to scale.

We’ll show you how Kairos can observe the task, apply your standards, and turn expert judgment into real-time instruction.
Talk to our team