About Simuletic
Simuletic creates synthetic, photorealistic video data for computer vision training and evaluation.
Simuletic provides licensed security AI datasets for training and evaluating computer vision models. We are built for teams that need edge cases, hard negatives, CCTV scenarios, and video sequences that are difficult or impossible to collect with real cameras — weapon draws, falls, equipment failures, and other rare or sensitive events.
Customers receive annotated image and video data (YOLO annotations, plus VLM-ready data for vision-language fine-tuning) they can license and download directly, or request as a custom dataset built to their own camera angles. To license a dataset today, browse the dataset catalog or contact us below for custom work.
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Ready to transform your AI training process? Let's talk about your specific needs.
Our Story
We help organizations simulate rare or sensitive events in their own environments — safely, ethically, and efficiently.
We've experienced this problem ourselves. While developing video analytics and computer vision solutions, we consistently faced the same challenge: obtaining quality training data for rare objects and unusual situations was nearly impossible.
Whether it was detecting security threats in public spaces, identifying equipment failures in industrial settings, or monitoring patient safety in healthcare facilities, the data we needed simply didn't exist — or was too sensitive, expensive, or dangerous to collect.
That's why we created Simuletic. We transform empty scenes into lifelike synthetic videos, enabling organizations to safely train and evaluate computer vision systems for rare, sensitive, or high-risk scenarios. Generate the data you need without capturing a single real frame.
Latest Articles
Insights on synthetic data, computer vision, and the future of AI training
How We Document Our AI Systems and Stay Ready for the EU AI Act
A practical guide to classifying and documenting AI systems under the EU AI Act, with tools and workflows that simplify compliance for product teams.
Fixing the 'Doritos Effect': Why AI Mistakes Chip Bags for Handguns
A student was handcuffed over a bag of Doritos. Here's the technical breakdown of why weapon detection AI fails on shiny objects, and how synthetic data fixes it.
Synthetic Weather Variations: Complete Your Dataset with Any Condition
Generate nighttime, rainy, foggy, and stormy variations of your training data in seconds. Extend your computer vision datasets with realistic weather conditions through our API.
When Umbrellas Trigger Lockdowns: Solving False Positives in Weapon Detection AI
How synthetic data and hard negative mining are solving the biggest challenge in CCTV weapon detection: distinguishing rifles from everyday objects like umbrellas.
Airport Drone Detection Dataset: Securing Runways with Synthetic Data
Open-source synthetic dataset for detecting drones in international airport environments. Purpose-built for runway safety, perimeter defense, and counter-UAS systems.
Drone Swarm Detection Dataset: Solving Counter-UAS Saturation Attacks
Open-source synthetic dataset for detecting high-density drone swarms and saturation attacks. Built for Counter-UAS systems where standard models fail.
Synthetic Fall Detection Dataset: Training AI Without Staging Accidents
Open-source synthetic dataset for fall and lying down detection in CCTV environments. GDPR-compliant, privacy-safe training data for elderly care and workplace safety AI.
Synthetic Eyes: Fine-Tuning VLMs for Threat Detection with Grounding Data
How we use synthetic data to fine-tune Vision Language Models for weapon detection, converting YOLO labels into VLM grounding data for smarter, safer AI.
Beyond Blurring: Introducing PrivaMasq, Real-Time Synthetic Identities for CCTV Privacy
Announcing PrivaMasq, a solution for real-time CCTV anonymization using AI-generated synthetic identities instead of traditional blurring.
Teaching AI to Detect Violence Without Real Violence
How we built a privacy-first, GDPR-compliant dataset for aggressive behavior detection using YOLOv8 pose estimation.
Solving the Microsleep Problem: High-Fidelity Synthetic Data for Driver Monitoring Systems
How synthetic datasets with perfect ground truth are accelerating the development of Euro NCAP and GSR compliant in-cabin monitoring AI.
Synthetic Knife Detection Dataset for CCTV and Security AI
Specialized synthetic dataset for detecting knives in CCTV security footage — addressing one of the hardest problems in weapon detection AI.
Introducing the Simuletic Synthetic CCTV Weapon-Detection Dataset
Advancing AI safety with realistic synthetic data for weapon detection in CCTV environments.
How AI-Generated Video Can Simulate Complex Construction Scenarios
Learn how AI-generated video simulates realistic construction site scenarios safely and ethically, enabling better training for computer vision safety systems.
Why Synthetic Video Is the Future of Computer Vision
Discover how synthetic video is solving the data dilemma in computer vision, enabling AI to learn from rare events while staying privacy-compliant and cost-effective.