The dorky.ai Neural Pipeline
Built for Small Business, Powered by NVIDIA
At dorky.ai, we understand that for a small wedding business, time is the only currency that matters. Our platform uses specialized Deep Learning architectures to eliminate the "Editing Bottleneck," allowing solo creators to deliver world-class results at 10x speed.
1. Zero-Lag Culling (CNN-Powered Selection)
Small business photographers often return from a single wedding with 4,000+ RAW images.
The Tech
Our Convolutional Neural Networks (CNNs) are trained on millions of professional wedding galleries to instantly identify "Hero Shots." It automatically flags blinks, missed focus, and poor lighting.
NVIDIA Advantage
By utilizing NVIDIA TensorRT for inference, we can "cull" a full wedding in under 5 minutes on a local RTX-powered machine.
2. Signature Style Replication (GAN-Based Grading)
Maintaining a "Brand Look" is what allows small businesses to charge premium prices.
The Tech
We use Generative Adversarial Networks (GANs) to learn a creator's unique editing style. dorky.ai doesn't just apply a preset; it understands how you treat skin tones, highlights, and shadows in complex lighting.
Hardware Acceleration
Our training modules are optimized with CUDA-accelerated kernels, allowing small business owners to "train" their own AI model on their past work in less than an hour.
3. Real-Time 4K Highlight Reels (Temporal RNNs)
Videographers spend days hunting for 60 seconds of "magic" for a social media teaser.
The Tech
dorky.ai uses Recurrent Neural Networks (RNNs) with temporal attention to scan footage for high-emotion peaks (laughter, vows, dancing).
NVIDIA Advantage
Leveraging the NVIDIA Encoder (NVENC) and Triton Inference Server, we generate cinematic, beat-matched highlight reels in 4K without the need for proxy files or overnight rendering.
4. Efficient Workflow for Solo Creators
Our stack is designed to run in a containerized environment (Docker/Portainer), ensuring that even small studios can host their own private "AI Assistant" on local hardware or a private NAS.
Architecture
Our microservices communicate via high-speed CUDA-X libraries, ensuring that data moves from the camera card to the final export with zero wasted CPU cycles.