our approach

The focus of pragmatism and relentless AI rigor applied to YOUR PROBLEM Your AI is only as good as your data and its customized for relevance and speed

Step 1: focused pragmatism

We start by understanding your problem through business translation.

Project Scope Definition:

Problem Definition.

Data Source Assessment.

Project Scope Recommendation.

Step 2: structure

Recommended Data

Map/Spine &

Learning Model

Architecture

Step 3: relentless AI rigor

We apply the latest machine learning and best practices in developing the intelligence loop that creates dependable, reliable data outcomes.

Data Transformation:

Data modeling & validation

Visualization

App development & sharing

We meet you where you are in your AI journey

Eisengard AI is a partner and "accelerator" regardless of where you are on your data and AI journey.

Eisengard AI's Data Maturity Model

Collection & Architecture

"Quality, Reliability and Interoperability "

Phase 0

In this initial phase, establish a solid foundation for your AI journey. Understand your data, ensuring its ethical use, integrity, and accessibility.

Analysis

"Descriptive Reports and Accesibility"

Phase 1

Focus on defining problems clearly and exploring your data to diagnose issues. Formulate and validate models while making data accessible through visualization.

Analytics

"Prescriptive Recommendations"

Phase 2

Leverage historical data for predictive analytics, and design A/B tests to refine hypotheses. Continuously iterate and adapt your approaches.

Optimized Performance

"Real-time & Personalized"

Phase 3

Provide tailored insights, continuously improve your processes, and reduce communication friction to enhance efficiency. Use systems to deliver insights effectively.

Proteus

"Networked Intelligence"

Phase 4

Enable networked decision-making, facilitating bidirectional insights and fostering a culture of learning and adaptation for fluid and agile operations.

Data Integration + AI learning

Technology

Empower Your Data Decisions with 2 AI Engines

Optimized Data integrations and Model validation is enabled by 2 AI engines that work together in delivering the most reliable and real time insights and predictive recommendations

ii

Co-Pilot

Generative

Data

Source

Data Access & Interoperability
Data Quality, Cleaning & Manipulation
Deep Learning on Structured Data

Reliable

Live Insights

Analytics
Supervised Learning
Reinforcement Learning

Customized

App

Data Visualization
Natural Language Processing
Generative AI - LLM's