Our Vision

What we're building

An AI platform purpose-built for engineers who work with simulation and testing data. Designed to turn raw experimental data into predictive insights -- without requiring a data science background.

We're currently in the research and customer discovery phase. Everything below represents our product vision informed by real conversations with engineers.

Planned Capabilities

Three ways we envision you'll work with Kamileon AI

Custom AI Models

Purpose-built machine learning models trained on your specific datasets and domain requirements. This is the core of what we're designing.

  • Transfer learning from industry-specific foundation models
  • Time series forecasting for degradation prediction
  • Anomaly detection tuned to your failure modes
  • Continuous model retraining with new data
  • Explainable AI outputs for engineering teams

How It Will Work

Our planned workflow: three steps from data to insight

01

Connect Your Data

Ingest data from test benches, sensors, databases, or file uploads. We plan to support all major engineering data formats.

02

AI Processing

Custom models will analyze patterns, detect anomalies, and generate predictive insights from your domain-specific data.

03

Actionable Insights

Clear, prioritized recommendations delivered through dashboards, automated reports, or API integrations.

Target Use Cases

Problems we're designing to solve

Technical Direction

Our planned technical approach

Shape what we build

This vision is only as good as the feedback behind it. If you work with simulation or testing data, your input will directly influence our product roadmap.

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