Research directions

AI for Digital Forensics

We are working on research directions and aim to build validated tools. These are not presented as completed products, deployed systems, or proven forensic capabilities.

Advanced Data Recovery

We aim to investigate AI-assisted methods for locating, classifying, and potentially reconstructing recoverable data from supported digital sources. Feasibility and accuracy would need independent testing.

Digital Evidence Analysis

We are working toward research workflows that could help authorized investigators triage files, metadata, and digital artefacts while preserving source evidence and audit trails.

Detection & Pattern Analysis

We aim to explore detection methods that may flag patterns in digital investigations and accident-related datasets. Model outputs would be leads for human review, not proof or a substitute for expert judgement.

Our approach

Evidence before claims

Validation first

We aim to define test datasets, measure false positives and false negatives, document limitations, and seek qualified review before making performance claims.

Responsible investigations

Our intended approach emphasizes lawful access, privacy, chain of custody, reproducibility, security, and meaningful human oversight.

Current status: early-stage research and planning. No named AI model or forensic product is being represented here as complete or commercially available.

Discuss research collaboration