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Vision Language Models (VLM)

SEE. UNDERSTAND. RESPOND.

AI systems that bridge vision and language - understanding images, screenshots, scanned documents, and visual content with the same fluency as text. VLMs enable entirely new categories of AI-powered workflows.

We build and integrate multimodal AI solutions using the latest vision-language models, enabling your applications to reason over images and documents as naturally as humans do.

Our Focus

Screenshot Analysis

Understand and describe UI screenshots, extract text from application interfaces, and automate web and app testing and monitoring workflows.

Image Question Answering

Allow users to ask questions about any image and receive accurate, context-aware answers - enabling intelligent image-based customer support and search.

Document Understanding

Comprehend layouts, tables, charts, and text in complex documents to answer questions, extract insights, and generate structured summaries automatically.

Visual Search

Search your product catalog or digital asset library using images as queries, enabling fast similarity-based retrieval across thousands of items.

Product Recognition

Identify products from customer photos for inventory management, price comparison, automated tagging, and enriched product catalog management.

Multimodal AI Assistants

Build conversational assistants that seamlessly process both text and images, enabling rich and context-aware interactions across any channel.

Technology Stack

Tools we use to build world-class solutions

GPT-4o
LLaVA
Qwen-VL
Phi Vision
MiniCPM-V
Our AI Engine

Powered by Advanced Intelligence

We leverage top-tier AI models, vector databases, and modern frameworks to build intelligent, scalable solutions.

Pinecone

Vector DB

Computer Vision

Algorithms

OCR

Recognition

Upscale.ai

Processing

Stable Diffusion

Generative

OpenAI

LLM

BERT

NLP

GPT-4 / 3.5

LLM

LLMs

AI Models

RAG

Architecture

LangChain

Framework

spaCy

NLP

FastAPI

Backend

Ray

Compute

Docker

DevOps

GraphDB

Database