Frequently Asked Questions

Fractalligence is a structural analytics platform built on fractal mathematics. It measures self-similarity, stability, and multi-scale patterns within complex datasets to uncover structural behavior beyond traditional linear analysis.

Traditional tools focus on averages, trends, and surface-level correlations. Fractalligence analyzes structural patterns across scales, identifying stability shifts, drift, and hidden dynamics that linear models often miss.

No. Fractalligence is built on deterministic fractal mathematics. It delivers measurable, explainable structural outputs rather than black-box predictions.

Fractalligence supports structured datasets including CSV, Excel, JSON, and database connections. It works with time-series, spatial, financial, engineering, and other structured numerical data.

No. Fractalligence analyzes structural patterns directly from raw structured data. Because fractal analysis is inherently scale-aware, it does not rely on traditional normalization to detect meaningful patterns.

The platform generates measurable outputs such as structural stability indicators, scale-based pattern detection, drift signals, and confidence metrics designed to support informed decision-making.

Yes. By establishing structural baselines across scales, the system identifies deviations and regime shifts in real time.

Fractalligence follows industry-standard security practices including encrypted data transmission and secure storage. Enterprise plans can support private or dedicated deployments.

The platform is built for analysts, researchers, engineers, and decision-makers working with complex systems that require structural measurement beyond traditional analytics.

You can upgrade at any time through your account dashboard or by contacting our support team. Enterprise upgrades include consultation and tailored configuration.

Enterprise customers may request dedicated or on-premises deployment options depending on their compliance and infrastructure requirements.

Because fractal analysis measures structural properties directly, providing transparent, scale-aware insights without relying on probabilistic black-box training models.