AI Explainability

AI Explainability, Simplified

Demystify your AI models with fast, clear, and actionable insights using our lightweight, API-first explainability tool.

Klio | Explainability Engine — Model v1.4

🧪 Sample Prediction Input

{
  "income": 72000,
  "credit_score": 685,
  "age": 32,
  "employment": "full-time",
  "debt_ratio": 0.23
}

💡 SHAP Summary (Positive Contributors)

✔ Income boosted approval by +29%
✔ Credit Score contributed +22%
⚖️ Age had neutral impact
✖ Debt Ratio reduced chance by -12%

📊 Global Feature Importance (SHAP Aggregated)

Income

87%

Credit Score

78%

Debt Ratio

52%

Age

38%

20+

ML Frameworks Supported

<100ms

Average Response Time

Explainability Methods

100%

Cloud & On-Prem Ready

What is Klio?

Lightweight, API-first AI explainability tool

Klio helps teams understand and interpret their machine learning models with ease. It provides fast, clear, and actionable insights using SHAP and LIME.

Fast & Scalable

Optimized for speed, making real-time model explanations possible even for complex AI systems.

API-First Design

Works with any ML stack (Python, Go, AWS, etc.) through a simple, consistent API interface.

Visual & JSON Output

Get interactive graphs or structured JSON responses for seamless integration into your applications.

Human-Readable Insights

Converts complex ML logic into clear, actionable explanations that anyone can understand.

How It Works

Simple, three-step process

Test Data

klio API(Model pre-loaded)

Explanations

Receiving test data

Processing with your model

Hover to pause

Send test data to klio API where your model is already loaded and receive detailed explanations

Send Your Model & Data

Upload a trained model or connect via API. klio works with any ML framework and can process both batch and real-time requests.

Get Instant Explanations

klio processes inputs and generates SHAP/LIME-based feature attributions, showing exactly how each factor influenced the model's decision.

Processing

Analyzing features...75%

Calculating SHAP values

API Example

import requests

# Send model data to klio API
response = requests.post(
    "https://api.klio.ai/v1/explain",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={
        "model_id": "credit-approval-v2",
        "input_data": {
            "income": 75000,
            "credit_score": 720,
            "age": 35,
            "employment_years": 8,
            "debt_ratio": 0.32
        }
    }
)

# Get explanation results
explanation = response.json()
print(explanation["feature_importance"])

Visual & JSON Output

Get interactive graphs or structured JSON responses for integration. klio provides both human-readable visualizations and machine-readable data through a simple API.

Interactive Demo