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cvst
Our Expertise
We develop and integrate AI solutions for business operations: from language models, enterprise knowledge search and AI agents to computer vision, document processing and predictive analytics.
01
LLM & Natural Language Processing
Develop solutions to classify and analyze text, process requests, summarize information, draft documents and integrate language models into business software.
02
RAG & Enterprise Knowledge Search
Connect AI to internal documents and knowledge bases. Build semantic search and question-answering with source references, access permissions and regularly updated content.
03
AI Agents & Workflow Automation
Develop agents that process incoming requests, use approved tools, create tasks and exchange data with CRM, ERP and other business systems under defined controls.
04
Enterprise AI Assistants & Chatbots
Create internal and customer-facing assistants for HR, support, operations and specialist teams, with access to the right knowledge and business functions.
05
OCR & Intelligent Document Processing
Extract, classify and validate information from scans, invoices, contracts, drawings and other documents, then transfer structured data to enterprise systems.
06
Computer Vision & Video Analytics
Build visual inspection and monitoring systems for object detection, defect recognition, quality control, safety events and industrial processes.
07
Predictive Analytics & Custom ML
Develop forecasting, anomaly detection and predictive models for equipment, demand, operations and business data. Evaluate model quality on representative datasets.
08
Generative & Multimodal AI
Create AI features for generating and analyzing text, images and mixed-format materials, with workflows, review rules and quality checks adapted to the task.
09
AI Integration, Deployment & MLOps
Prepare data pipelines, connect models to applications, deploy on-premises or in suitable cloud environments and set up monitoring, testing and model updates.
Technologies
AI Technology Stack
Technology selection depends on the use case, data, deployment environment and security requirements. The areas below cover the wider AI engineering stack rather than computer vision alone.
01
Computer Vision & Video
YOLO, OpenCV, PyTorch, TensorFlow; detection, segmentation and video processing; edge deployment when required.
02
LLM & NLP
Transformers, BERT, Llama-family and other suitable language models; prompt design, adaptation and evaluation.
03
RAG & Information Retrieval
Embeddings, vector and hybrid search, retrieval and reranking, source attribution and permission-aware access.
04
OCR & Document Intelligence
OCR engines, document layout analysis, field extraction, classification, validation and document pipelines.
05
Data Engineering & Pipelines
Python, NumPy, Pandas, data preparation, versioning, quality checks and batch or streaming processing.
06
MLOps
MLflow, Kubeflow, DVC, Airflow, ClearML, Docker, Kubernetes.
CVST
About Us
CVST brings together developers, business analysts, QA engineers, and AI specialists. We assemble teams tailored to each project and provide ongoing support after launch.
300+
Team members
200+
Served clients
6 years
Average developer experience
AI Development Case Studies