Product

An single platform to manage the entire predictive model lifecycle

Data Integration

Connect and ingest data from any source

Our DB agnostic environment makes data integration seamless. We are probably the only provider in the world which supports querying MongoDB using SQL. Data in the platform becomes miraculously available for the customer from any database, any platform, any form and offered through the convenience of a unified DB accessed by SQL.

When was the last time you ran SQL statement inner joining tables from MySQL, SQL Server, MongoDB and CSV? Yes, you read correctly: SQL statement. For CSV and Mongo.

Platform Capabilities

Unified SQL across all databases
API integration
Multi-format support
Real-time sync

AI Assisted Data Integration

Connect my MongoDB database

I can help you connect MongoDB using the DB Connector feature. I'll guide you through the connection process and help you write SQL queries using Unified SQL Interface that work seamlessly with your MongoDB collections.

Automatic schema detection and SQL query optimization for any database

Data Transformation

Automated feature engineering and data preparation

Truly AI based automated feature engineering and generation is brought to our customers with a gushing stream of thousands of new highly accurate engineered features per minute.

Online auto-generated optimized ML pipelines based on field-proven pipeline templates acquired through three years of deep customer developments and innovations.

Platform Capabilities

Automated feature generation
No-code pipelines
Auto preprocessing
Feature coverage analysis

AI Assisted Data Transformation

Select features for my credit risk model

I've analyzed your dataset and enhanced the feature set using AFG (Automated Feature Generation). I've automatically selected 15 most relevant features including credit_score, debt_to_income, and employment_length based on predictive power, business relevance, and runtime availability. I've avoided features like loan_status that won't be available during new loan predictions.

Automatic feature selection with runtime availability warnings and business context understanding

332

Features Created

New This Run

0.34

Best Rank

(MARRIAGE - PAY_0)Rank: 0.34

(PAY_0 * BILL_AMT6)Rank: 0.29

((PAY_6 * PAY_0) + PAY_0)Rank: 0.275

Model Training

Build, train, and optimize machine learning models

Autonomous, reality sensing, reactive modeling environment which follows business and technical events in the organization, triggering model retraining specifically focused on those relevant events. The shadow model central brain imitates, combines, shuffles and mutates algorithmic ideas generated by human users as well as automated processes.

Our self-learning algorithms continuously process internal and external data in a never-ending feedback loop, leading to more comprehensive models with significantly shorter time to market.

Platform Capabilities

Autonomous model retraining
Multiple algorithms
Auto hyperparameter tuning
Model comparison

AI Assisted Model Training

How can I improve my model's GINI score?

Your current GINI is 0.65. I recommend: 1) Switch to Scorecard algorithm for better interpretability, 2) Add features payment_history_score and credit_utilization which show strong predictive power, 3) Adjust regularization parameter C to 0.1. Expected improvement: +0.08 GINI.

Expert model analysis with specific improvement recommendations and performance forecasting

GINI Score

0.73

Target: 0.70+

Parameter Tuning

max_iter

tol

penalty

solver

credit_score

0.85

debt_to_income

0.72

payment_history

0.68

employment_length

0.45

Decision Engine

Create business rules and decision workflows

One of a kind, unparalleled support for business logic generation bringing unmatched speeds in migrating old buggy and slow business logic code into a new, blazing fast futuristic environment.

Create complex decision rules, manage multiple model outputs, and build sophisticated workflows that integrate seamlessly with your existing systems.

Platform Capabilities

Visual rule builder
Legacy code migration
Decision workflows
Rule validation

AI Assisted Decision Engine

Create a rule for loans with amount < 1000 to return final result of 0

I've created an IF rule using the Rule Builder: condition "loan_amount < 1000", then output "ruleset_decision = 0". The rule has been validated using Conflict Detection and is ready to use. Would you like me to add additional conditions or modify the logic?

Natural language to rule conversion with automatic validation and conflict detection

▶

Start

API Call

Vantage Score

Above 650

NOYES

DECLINE

Score Too Low

RULE

Credit Utilization Check

< 0.43

NOYES

DECLINE

Poor Payment

APPROVE

Approved

Deployment

Deploy models to production with monitoring

Deploy your models to production with confidence. Generate production-ready code in multiple languages and frameworks, set up comprehensive monitoring, and ensure your models perform optimally in real-world scenarios.

State of the art web-based UI delivers the most futuristic user experience for data views, reporting and ad hoc management dashboard all within the packed, 5 minutes configuration approach.

Platform Capabilities

Multi-language code generation
One-click deployment
Real-time monitoring
Production-ready code

AI Assisted Deployment

Convert this to Java Spring Boot with error handling

I've converted your Python prediction code to a complete Spring Boot service with: RestTemplate for HTTP calls, custom exceptions, request/response DTOs, service layer architecture, and comprehensive error handling. Code validated and is now production-ready!

Automatic code conversion with validation, error handling, and framework-specific best practices

Python

Java

JavaScript

import requests

def predict_risk(features):
    url = "https://api.beeeye.com/predict"
    headers = {
        "Authorization": "Bearer YOUR_TOKEN",
        "Content-Type": "application/json"
    }
    response = requests.post(
        url, 
        json={"features": features},
        headers=headers
    )
    return response.json()

Ready to Transform Your Risk Modeling?

Experience the full power of BeeEye's end-to-end platform

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