M4AI | Building Large Knowledge Models

Engineering Navigator

Navigate connected data across the engineering lifecycle to make faster and more informed decisions. M4AI Agents help trace requirements, link simulations to test results, and answer engineering questions in real time.

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Analysis Navigator

Detect anomalies and discover insights from telemetry data. M4AI Agents correlate runtime patterns with system behavior, supporting faster root cause analysis and design improvements.

Test Navigator

Understand your test coverage and improve test development. M4AI Agents analyze links between requirements, automation results, and test specifications to highlight gaps and opportunities.

Team Navigator

Assemble the right people and tools for complex projects. M4AI Agents analyze project history and skill sets to recommend optimal team configurations.

Risk and Compliance

Stay ahead of regulatory shifts and supplier risks. M4AI Agents track compliance-related data across projects and suppliers to help you act proactively.

Context Augmented Generation

Traditional Retrieval Augmented Generation (RAG) allows LLMs to leverage information retrieved from your entire database. CAG further augments LLMs with context derived from previous interactions, user data, or domain-specific information, driving more accurate and powerful applications for specific industry-relevant tasks.

Industrial Agent Builder

A low-code tool to create virtual AI assistants focused on solving domain-specific problems with a deep understanding of the industry’s context, terminology, and workflows. Memory 4 Your AI™ walks you through every step of the process:
- Problem Definition and Requirements Analysis
- Data Collection and Preprocessing
- Model Selection and Design
- Training and Optimization
- Continuous Improvement

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Solutions

Product Quality

Utilizing external consumer data to improve internal testing methodology

In today’s competitive landscape, staying ahead means understanding your market and leveraging every insight to drive faster, smarter product development. The Data Context Hub (DCH) delivers a unique advantage by integrating both internal resources—such as requirements, specifications, and test scripts—with real-time external data from customer feedback, competitor reviews, and product telemetry.

Energy Sector & Sustainability

Powering Efficiency with Data-Driven Insights in a Complex Environment

In the energy sector, optimizing operations and ensuring sustainability is not just about internal data—external factors like climate change, geopolitical shifts, and regulatory requirements play a crucial role in decision-making. Data Context Hub (DCH) enables energy companies to seamlessly integrate operational data with broader contextual insights, helping them navigate these complex challenges.

Automotive Industry & Manufacturing

Enhancing Efficiency with Data-Driven Integration

The automotive sector is evolving rapidly, with increasing complexity in vehicle development and production. Data Context Hub (DCH) enables R&D teams to seamlessly access integrated data across engineering, simulation, and production, breaking down silos and reducing time spent on data retrieval. This streamlined approach empowers teams to make faster, more informed decisions throughout the development process.

Chemistry & Pharmaceutical

Transforming Data into Innovation in Chemistry & Pharma

In the highly regulated and research-intensive fields of chemistry and pharmaceuticals, managing and making sense of vast volumes of data is crucial to driving innovation and maintaining compliance. Data Context Hub (DCH) offers a comprehensive, data-driven platform that integrates R&D, clinical trial, manufacturing, and regulatory data to streamline decision-making and accelerate product development.