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our approach

The focus of pragmatism and relentless AI rigor applied to YOUR PROBLEMYour 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

ii

ii

AI

Co-Pilot

Generative

AI

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

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