Our Technology

Advanced Visual AI Foundation Models

Core Technologies

Proprietary dual-engine architecture combining high-precision visual understanding with advanced language-grounded reasoning.

Glint-MVT (Multi-Vision Transformer)

High-Performance

Vision specialist engine optimized for low-data adaptation and robust real-time deployment.

vs CLIP98%
vs DINOv298%
vs DFN98%

Outperforms industry benchmarks in multi-scale extraction.

  • Advanced Visual Understanding
  • Multi-scale Feature Extraction
  • Real-time Processing

Superior accuracy on real-world applications.

MVT-VLM (Vision-Language Model)

Vision + LLM Breakthrough

Hybrid model combining language semantics and visual intelligence for contextual enterprise decisions.

TaskMVT-VLMGPT-4V
Vision UnderstandingExcellentExcellent
Language ComprehensionStrongStrong
Embodied Intelligence Tasks> GPT-4VBaseline
  • Vision Understanding
  • Language Comprehension
  • Semantic Reasoning
  • Embodied Intelligence

Superior in same-scale VLM benchmarks.

Core Capabilities

Explore how each capability orbits and extends the Glint-MVT intelligence core.

Glint-MVT Intelligence

Business Architecture

A unified end-to-end framework integrating multi-dimensional data with high-performance computing and big data analytics.

Resource Layer: Multi-dimensional Data Access

Face/Body, Vehicle, Non-motor Data, Gait, RFID/MAC.

Compute Layer: Unified Visual Parsing

  • IoT Access
  • Resource Scheduling & Management
  • Profiling Services
  • Visual Analytics
  • Multimodal Models

Platform Layer: Big Data & Applications

Technology Stack & Hardware Compatibility

Supported frameworks, APIs, and infrastructure layers.

Nvidia acceleration stack, Atlas compatibility, Linux runtime support, and containerized microservice deployment.

REST APIs, SDK endpoints, event hooks, and message-bus connectors for enterprise platform integration.

Cloud, on-prem, and hybrid topologies with centralized monitoring and performance diagnostics.

Need Technical Documentation?

Download whitepapers, integration guides, and SDK references.