Real Results from Real Deployments
See how we've helped companies across industries unlock measurable business value with AI.
DeepTrait
NGS Data Analysis Platform for Drug Discovery
Co-founded and built an AI-powered NGS data analysis platform that enables lab scientists to discover novel therapeutic targets and diagnostic markers in under six hours — with no coding, scripts, or command lines required.
"DeepTrait fundamentally changed how our lab scientists interact with genomic data."
— Dr. Ruslana Radchuk, Co-founder & Chief Biologist, DeepTrait
AstraZeneca
AI Product for Medical Affairs
Developed an AI insights analytics tool and insurance flow pipeline for a global pharmaceutical company, automating CRM record analysis to deliver actionable insights from large-scale Medical Affairs operations.
"They had a phenomenal knowledge of AI."
— Serhii Myroshnychenko, Director of Brand Insights, AstraZeneca US
Civitta
AI Architecture for Generative AI Startups
Provided AI tech advisory for four startups in the Challenger AI Accelerator, developing comprehensive AI product strategies and actionable implementation plans including system architecture designs.
"It was impressive how Shelpuk AI Technology Consulting found an individual approach to each team they worked with!"
— Olena Shershun, Associate Partner, Civitta
xFusion Technologies
RAG Chatbot for Enterprise Data Platform
Engineered an advanced Retrieval-Augmented Generation (RAG) system for xFusion's xAQUA® platform, enabling natural language querying across enterprise document repositories.
"Their skill, spirit to build the right solution, sense of ownership, and responsiveness are all impressive."
— Sanjib Nayak, Founder & CEO, xFusion Technologies
Periodix
AI Sales Assistant for Lead Generation
Developed a custom generative AI sales assistant chatbot using a fine-tuned Llama-2 model, deployed as a product-grade cloud component for lead generation.
"They had the skills to talk about complex things in the easiest way."
— Danil Yasynskyi, Founder & CEO, Periodix
Dynamiq
Generative AI Strategy for AI Platform
Developed a comprehensive generative AI strategy including market analysis, LLM fine-tuning, and RAG integration for a leading generative AI platform.
"The team's strategic insight, technical prowess, and support have been instrumental in the success of our initiatives."
— Vitalii Duk, Founder & CEO, Dynamiq
Axbio
AI-Powered Health Questionnaire Analysis Platform
Built an end-to-end cloud-based platform that collects health questionnaire responses, applies weighted scoring, and uses Azure OpenAI to generate personalized health reports delivered automatically via email.
"The system allows us to deliver personalized health insights at scale with minimal manual effort."
— Nikolay Sergeev, VP, Applications at Axbio
Major Retail Bank
AI Strategy for Retail Banking
Designed a comprehensive AI strategy for a major retail bank, including competitive analysis, AI model recommendations, and a technology transformation roadmap.
"They had the talent to keep positive momentum with both to-the-point communication and humor when necessary."
— Andriy Milinevskyy, MBA, Founder & CEO, CXdesign
Major Canadian Bank
RAG Chatbot for Major Canadian Bank
Built a production-ready Retrieval-Augmented Generation (RAG) system enabling intelligent question-answering across 3,200+ internal documents using Azure OpenAI and LangChain.
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Frequently Asked Questions
Answers to common questions about this topic.
What outcomes do real AI case studies usually show?
Real-world AI implementation case studies. See how we helped enterprises achieve measurable ROI with AI solutions. Shelpuk AI Technology Consulting curates these delivery examples to show how strategy and engineering decisions translate into measurable business outcomes.
How should teams select the most relevant case studies for their own priorities?
The strongest selection method matches case context by industry constraints, technical stack, risk profile, and target business KPIs. Shelpuk AI Technology Consulting helps leadership and delivery teams map relevant examples to their own operating environment and execution constraints.
Which implementation patterns appear consistently across successful engagements?
Repeated patterns include clear discovery scope, architecture-to-execution continuity, controlled rollout, and measurable impact tracking. Shelpuk AI Technology Consulting applies these proven practices through consulting, fixed-price delivery, and AI-native implementation teams.
How can organizations use these case studies to plan their next AI initiative?
A practical approach is to use case evidence to prioritize use cases, define delivery milestones, and de-risk stakeholder decisions before scaling. Shelpuk AI Technology Consulting supports organizations in converting case-study evidence into funded roadmaps and executable programs.