Security first · LogIQ for 3DEXPERIENCE
A locally hosted AI model analyses your 3DEXPERIENCE logs inside your own infrastructure. No cloud AI services. Built for defence, aerospace and other security-critical programmes.
Your infrastructure
The challenge
One 3DEXPERIENCE incident can leave a trail across application, server and service logs. Engineers search several files, decode stack traces, line up timestamps and hunt for earlier cases. It is slow, and the know-how rarely gets reused.
01 Ask
Put the question in plain language. No search syntax to write.
02 Correlate
LogIQ links errors, exceptions, timestamps and IDs across your logs.
03 Explain
Get a readable explanation and probable cause, tied to the log evidence.
Security first
The language model runs on your own systems. Log content is not sent to an external AI service.
Deploy on your own infrastructure or in a local environment you have approved. You decide where it lives.
Supported core analysis workflows run without an internet connection, for isolated networks.
Authentication and role-based permissions decide who can reach log sources and investigations.
Administrators set the log sources, model endpoints, model settings and analysis limits.
Conclusions point back to log lines, timestamps and source records, so engineers confirm before they act.
Deployment, model compatibility and network-isolation requirements are validated for each customer environment.
BrainWave Consulting · LogIQ · Security-first AI log analysis for 3DEXPERIENCE
Ask, correlate, detect and monitor, with every answer linked to the log evidence behind it.
Ask questions in natural language and receive answers grounded in available log data.
Correlate errors, exceptions, and surrounding events to identify probable causes.
Search logs using plain-language questions instead of writing complex queries.
Explain error messages, exceptions, and technical failures in understandable language.
Summarize large log volumes into key events, errors, and notable patterns.
Link conclusions to relevant log lines, timestamps, fields, and source records.
Stream or refresh incoming logs so teams can investigate issues as they occur.
Display configurable KPIs, error trends, service health, and investigation summaries.
Convert investigation questions into Elasticsearch Query DSL or supported ES|QL queries.
Connect to Elasticsearch and ingest supported application, Apache, Linux, and container logs.
Connect related events across application, server, and service logs using time, IDs, and context.
Compare current issues with historical incidents and previously successful resolutions.
Retrieve relevant runbooks, documentation, and past incident records to support AI answers.
Suggest prioritized investigation steps and possible remediation actions.
Save validated findings and resolutions for reuse in future investigations and RAG retrieval.
Group duplicate or similar errors to reduce noise and reveal recurring issues.
Parse stack traces and highlight relevant exceptions, classes, methods, and call paths.
Detect unusual changes in log volume, error rates, and event patterns.
Identify common log formats and extract timestamps, severity, components, and message fields.
Trigger configurable alerts for error spikes, known patterns, and selected anomaly conditions.
Offline Deployment Mode covers supported core analysis workflows. Local LLM integration requires a compatible locally hosted language model.
Security first
Every AI capability on this page runs on a locally hosted model inside your environment. No cloud AI services.
Security comes first. Speed and insight follow.
Supports customers whose logs must remain within controlled environments.
Connects related log evidence and identifies probable causes.
Lets engineers ask questions without manually composing complex searches.
Uses prior incidents, runbooks, and validated resolutions to improve investigations.
Measures groundedness and usefulness while improving response speed.
Engineering programmes with strict data-handling requirements.
Running complex or customised 3DEXPERIENCE deployments.
Teams that own incident diagnosis, upgrades and service continuity.
LogIQ comes from a team that lives in PLM. BrainWave combines 3DEXPERIENCE implementation, customization, migration, integration and support experience with in-house software engineering, so LogIQ is shaped by how 3DEXPERIENCE environments are actually run and supported.
LogIQ offers probable explanations and causes. Qualified engineers should validate findings and remediation steps before acting. Supported log sources, Elasticsearch compatibility, model requirements, offline scope and security controls are confirmed for each release and customer environment.
Talk to BrainWave about a demonstration in your environment.
We provide custom software development, cloud solutions, IT infrastructure setup, system integration, and ongoing tech support.
It depends on the scope. Small projects may take 2–4 weeks, while larger systems can take 2–3 months or more.
Yes, we offer maintenance and support packages to keep your system secure, updated, and running smoothly.
Absolutely. Every solution we deliver is tailored specifically to each client’s business goals and operations.
We’ve worked with clients in retail, healthcare, logistics, finance, and more.
Simply contact us through our website or email, and we’ll schedule a free consultation to understand your needs.
At BrainWave (BWC), our mission is to empower businesses with cutting-edge technology solutions. We believe in the transformative power of innovation and are committed to helping our clients achieve their goals.
Information Security Management System
