With generative AI models rapidly producing text, images, audio, and video that mimic human output, distinguishing between real and synthetic content has become a strategic necessity.
Chrysalis is a proprietary platform developed by Axis Intelligence that uses advanced detection algorithms, forensic analysis, and metadata tracing to identify, flag, and contextualize AI-generated content in real time.
Whether for journalism, cybersecurity, legal compliance, or education—Chrysalis empowers you to verify before you trust.
🔍 Key Features of Chrysalis
✅ Multimodal AI Content Detection
Detect AI-generated text, images, video, and audio, using deep learning models trained to identify linguistic patterns, generative fingerprints, and statistical anomalies.
✅ Real-Time Verification Engine
Upload or stream content for instant classification with confidence scores, source attribution suggestions, and potential model origin (e.g. GPT, Stable Diffusion, ElevenLabs, etc.).
✅ Explainable Results & Risk Scoring
Every output includes visual indicators, likelihood breakdowns, and explainability layers to help users understand why a content piece was flagged as synthetic or authentic.
✅ Cross-Platform Monitoring
Chrysalis can scan websites, social platforms, internal databases, or dark web content to track AI-driven misinformation, deepfakes, or unauthorized content replication.
✅ Metadata & Watermark Analysis
Extract, analyze, and compare digital fingerprints, hidden markers, and metadata inconsistencies to identify manipulated or machine-generated artifacts.
✅ API Integration & Custom Rules
Integrate Chrysalis into your CMS, LMS, enterprise SOC or moderation platform—apply custom rules, alert thresholds, and jurisdiction-specific compliance checks.
🧩 Use Cases for Chrysalis
Cybersecurity & SOCs – Detect phishing content or synthetic social engineering attempts
Journalism & Media – Verify quotes, documents, videos or leaked information
Education & Academia – Identify AI-assisted plagiarism or automated essays
Legal & Compliance – Validate contracts, public statements, or evidentiary materials
Public Sector – Combat deepfake propaganda and fake documents
Marketing & Branding – Ensure content originality and brand voice integrity
🛡️ Why Chrysalis is Different
🧠 Built With Adversarial AI Awareness – Constantly updated to keep pace with evolving LLMs and generative models
🧬 Multimodal & Multilingual – Works across languages, formats, and platforms
📊 Forensic-Grade Reports – Output includes evidence logs, signature traces, and timestamped verification trails
🌐 Deployable Anywhere – Cloud, private server, or air-gapped environments
🔒 Privacy-Centric – No data retention, fully auditable, and compliant with GDPR, ISO/IEC 27001, og AI Act principles
Yes. Chrysalis is trained on patterns from leading LLMs including GPT-4, Claude, Gemini, and others. It can detect probabilistic indicators of synthetic writing with high accuracy.
Absolutely. Chrysalis uses reverse-image models, generative artifact analysis, and facial geometry recognition to flag manipulated or synthetic visuals and videos.
Chrysalis maintains high precision and recall through continuous model updates and dataset expansion. It provides confidence scores and human-readable justifications.
Yes. All reports are exportable in forensic-grade format, including metadata chains and verification timestamps, and can be customized for compliance with legal frameworks.