Artificial Intelligence
From careful project analysis and ideation stage — to solution roll-out and management, the experts of Bytecity AI Lab will help you every step of the way with your solution.
Enterprise AI Solutions
Custom AI Software and Model Development
Full-cycle development of custom AI models based on Deep and Machine Learning algorithms, including Data Science research, training, validation, testing
AI-driven Big Data Solutions
Architecture design and implementation for Enterprise Big Data solutions
On-the-Edge AI
ML models customization for on-the-edge device deployment.
AI DevOps
Comprehensive infrastructure management for Machine Learning workloads.
AI Solutions Lifecycle Management
Implementation of AI application lifecycle management and CI/CD.
Integration
Establish integration with AI-ready cloud platforms and third-party APIs.
How AI Works
Migration
Data migration from legacy systems to new platform
Design & Architecture
Design data platform tailored to the business needs
Platform Implementation
Components implementation and deployment
ML & Business Intelligence
Recommendation Engine.
Analysis & Ideation
Analysis of domain and data .
Areas of Expertise
Image Processing and Video Analytics
Store and process all video streams
Surveillance, wearable, hand-held and other cameras integrated in one data lake platform
Highly-customizable video learners
Lightweight ML models on the edge
Fully automated end-to-end production process
Face recognition matched with other users transactions
Personalized image processing
Behavior patterns extraction
Detecting blacklisted persons
Machine & Deep Learning
Predictive maintenance algorithms for Industrial IoT platforms
AI driven market insights and predictions; predictive and prescriptive maintenance
Predictive algorithms for individual customer experiences
AI-driven data analytics for trend-watching in Retail and other industries
Data mining
Data Lakes & Cloud IoT
Big data, business Intelligence analytics, predictive tools, planning, generative models, and optimization tasks in one place
Data ecosystem architecture development
Distributed storage
Scale-ready read and write processing
Data cleaning processes
Pre-built high level features for machine learning
Integration with popular cloud platforms
Natural Language Processing
Consumer Machine Learning Chatbots
Department-specific AI assistants
Data mining and extraction
Voice recognition/Voice AI