Moweb Limited

Trusted by 500+ Clients

Build Intelligence That Sees: Vision AI & Multimodal AI

Transform raw visual data into actionable business intelligence with production-ready computer vision and multimodal AI systems. From quality inspection to document intelligence, we deliver custom vision solutions that integrate seamlessly with your enterprise workflows - fast POCs, secure deployment, and measurable ROI.

Real-time object detection, classification, and tracking for manufacturing, retail, and security

Multimodal AI combining vision, text, and sensor data for richer contextual understanding

Enterprise-grade deployment with MLOps pipelines, edge optimization, and compliance-ready governance

Value Proposition

We help enterprises unlock the full potential of Computer Vision & Multimodal AI to automate visual inspection, enhance customer experiences, and accelerate decision-making. Built for manufacturing, healthcare, retail, and logistics teams, our solutions deliver measurable impact through production-ready models, secure integrations, and scalable MLOps infrastructure.

The problem we solve

Manual visual inspection, unstructured document processing, and fragmented data sources cause quality inconsistencies, slow turnaround times, and missed insights across image, video, and sensor streams.

Core capabilities

Custom computer vision models, object detection, segmentation, classification, OCR, multimodal AI, edge deployment, document intelligence, video analytics, fine-tuning YOLO, SAM, CLIP, Florence, Detectron2.

Outcomes

Enhanced operational efficiency, reduced errors, accelerated decision-making, and actionable, scalable insights from visual and multimodal data streams for enterprises.

Why Computer Vision & Multimodal AI Now?

Visual data is exploding surveillance feeds, product images, medical scans, drone footage, and customer uploads, but most enterprises struggle to extract value from it at scale. Computer Vision changes that by automating what humans see, while Multimodal AI combines vision with text, audio, and sensor data for deeper contextual intelligence.

Imagine a quality control system that detects micro-defects in real-time, a retail platform that understands product images and customer queries together, or a healthcare workflow that analyzes radiology scans alongside patient records. Leveraging edge deployment, real-time inference, and explainable AI frameworks, organizations move from reactive manual review to proactive, intelligent automation that's traceable, compliant, and scalable. From warehouse robotics to brand safety monitoring, from document digitization to predictive maintenance, computer vision is about understanding visual context to drive smarter operations.

Our Vision and Multimodal Offerings

Custom object detection and classification models

Semantic segmentation and instance recognition

Optical Character Recognition (OCR) and document intelligence

Video analytics: activity recognition, anomaly detection, tracking

Multimodal AI: vision + language understanding (VQA, image captioning)

Face detection, recognition, and biometric systems

Edge AI deployment: model optimization for IoT, drones, cameras

3D vision: depth estimation, point cloud processing, SLAM

Synthetic data generation for training robustness

Explainable AI dashboards & MLOps for vision: versioning, monitoring, retraining pipelines

Ready to Transform Your Enterprise Knowledge into Intelligent Action?

Request a demo to see production-ready RAG pipelines and enterprise chatbots in action

Schedule a call with us

How We Build: Technical Approach

We combine state-of-the-art pre-trained models with domain-specific fine-tuning to deliver production-ready computer vision systems fast. Our process includes:

Data Strategy

Building accurate annotation pipelines, enriching datasets through augmentation, and generating synthetic data to improve model resilience.

Model Selection

Utilizing top models like YOLO for rapid object detection, SAM for flexible segmentation, CLIP and Florence for vision-language tasks, and Detectron2 for advanced segmentation, alongside custom model development when required.

Multimodal Fusion

Integrating visual encoders with large language models (e.g., CLIP + GPT, LLaVA) to enable deep understanding across vision and language modalities.

Vision AI and Multimodal Pipeline

Integrations & Tech Stack

We leverage the latest frameworks and platforms to build robust, scalable vision and multimodal AI solutions. Our technology infrastructure combines enterprise-grade tools and advanced architectures to deliver seamless integration, performance optimization, and production-ready deployment for sophisticated computer vision and multimodal intelligence systems.

Frameworks

We build end-to-end computer vision pipelines using industry-leading frameworks that enable rapid development, model training, experimentation, and deployment of state-of-the-art vision models.

Multimodal Models

Advanced multimodal architectures enable seamless fusion of visual, textual, and sensor data, unlocking new capabilities for intelligent systems that understand and reason across multiple modalities.

Deployment Tools

Optimized inference engines and cloud platforms ensure production-scale deployment with maximum performance, efficiency, and reliability across devices, cloud infrastructure, and hybrid environments.

Data Management

Streamlined annotation, dataset versioning, and experiment tracking tools accelerate the entire vision AI pipeline from data preparation to model refinement, evaluation, and production deployment.

MLOps

Automated training orchestration, containerization, and continuous deployment frameworks enable efficient model lifecycle management, version control, and scalable production operations with monitoring.

Tech Stack

PyTorch

TensorFlow

OpenCV

Hugging Face Transformers

Ultralytics YOLO

Segment Anything Model

Detectron2

Our AI/ML Development Process

Maximize the possibilities of the newest AI/ML version. You can hire our AI/ML developers, who are competent in the technical and interactive abilities required to meet your project's objectives.

Discovery & Initial Planning

We begin by understanding your requirements and goals, ensuring a tailored approach.

Data Gathering & Cleaning

We collect and preprocess data to ensure accuracy and quality for model development.

Model Development and/or Training

Our AI/ML experts build scalable, high-performing models using advanced algorithms.

Testing & Validation

We rigorously test models using real-world data to ensure they meet your objectives.

Deployment

Our team implements the solution in a live environment, ensuring seamless integration.

Maintenance & Support

We offer ongoing support and maintenance to optimize and update your AI/ML solutions over time.

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FAQs for Vision AI & Multimodal AI

Computer vision uses deep learning models to understand and interpret visual data, recognizing objects, detecting anomalies, and extracting meaning from images and videos. Unlike rule-based image processing, CV systems learn patterns from data, making them adaptable and highly accurate for complex real-world scenarios.