Synapsis - Vectorisation as a Service
We connect visual data to AI applications.
Listed in categories:
Artificial IntelligenceAPIData Science
Description
Quasara Synapsis is a powerful vectorisation engine designed to transform complex visual data into vector embeddings, enabling seamless integration with AI applications across various industries. It simplifies the process of extracting vector embeddings from extensive video footage and visual data, making it accessible for use in autonomous driving, visual inspection of infrastructure, earth observation, and manufacturing.
How to use Synapsis - Vectorisation as a Service?
To use Quasara Synapsis, simply provide your visual data, and the engine will handle the extraction of vector embeddings without the need for a complex data ingestion pipeline or infrastructure setup.
Core features of Synapsis - Vectorisation as a Service:
1️⃣
Effortless extraction of vector embeddings from large datasets
2️⃣
Seamless integration with existing search systems and applications
3️⃣
State-of-the-art encryption and compliance
4️⃣
Customizable endpoints for enhanced security
5️⃣
Scalable API for high traffic and reliability
Why could be used Synapsis - Vectorisation as a Service?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Autonomous driving applications | ✅ | |
| # 2 | Visual inspection of infrastructure | ✅ | |
| # 3 | Satellite vision and earth observation | ✅ | |
Who developed Synapsis - Vectorisation as a Service?
Quasara is dedicated to revolutionizing the way visual data is utilized in AI applications. They focus on providing innovative solutions that simplify the vectorisation process, allowing businesses to leverage the power of AI without the associated complexities.