EasyByte
AI and automation case studies

Real outcomes: from business need to measurable impact

Explore EasyByte projects across neural networks, RAG search, chatbots, computer vision, analytics, and integrations. Each case shows the business context, delivery approach, milestones, and impact metrics.

2-4 week pilots for fast hypothesis validation and value proof.
ROI-first delivery with measurable automation impact.
Integrations into your stack with secure architecture.
What each case contains
  • Business goals and constraints the team addressed.
  • Delivery approach with milestones and data strategy.
  • Results with key metrics and business effect.
Need a quick fit check for your use case? Review a similar project and request a pilot plan.
Case studies found: 8
RAG Search Chatbots Computer Vision OCR Forecasting Integrations
Case Study

GuitarVision – Revolutionizing card creation automation.

For GuitarLand, a guitar distributor, we developed a unique solution that fully automates the process of creating product listings for marketplaces. The client needed to reduce the time and costs associated with creatin…

Solution details Open
Case Study

LeadSwift — An effective lead processor for businesses.

A company reached out requesting automation of their lead generation process. We developed an efficient data parsing tool integrated into a Telegram bot. The bot allows users to quickly request links to sources and page…

Solution details Open
Case Study

RecruitFast - Candidate Sourcing Automation

RecruitFast is an AI designed to automate candidate selection. Increase the number of job openings you can handle by 5 times and reduce hiring time by 90%. Integration with a Telegram bot allows for instant resume analy…

Solution details Open
Case Study

VisionAI – quality control with computer vision.

We developed and implemented a computer vision platform powered by neural networks that automatically detects manufacturing defects on a conveyor belt in real time. The solution reduced the inspection time for each part…

97%
accuracy
Solution details Open

How we structure case studies

A clear structure helps teams quickly understand context, evaluate delivery quality, and estimate expected impact.

Context and objective
Delivery milestones
Outcomes and metrics
Who this is for

If you are selecting an AI partner, these case studies help compare engineering depth, process maturity, and ability to deliver to production.

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