

End-to-end AI development and data engineering with KPI-driven methodology
Based on 6 reviews
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We're an AI company that helps organizations implement intelligent automation and modern data infrastructure. Founded in 2015 with roots in healthcare innovation, we've completed 70+ projects across education, healthcare, retail, fintech, and more. Every project begins with thorough validation and planning to establish clear business KPIs before development starts. This approach minimizes implementation risk, maximizes ROI, and has enabled successful AI adoption for organizations ranging from global universities and enterprise clients to growing startups. Our technical expertise spans AI automation (virtual assistants, document processing, conversational AI), machine learning (NLP, computer vision, generative AI), and cloud data engineering (data warehouse migrations, lakehouse implementations, real-time analytics). We offer fixed-price projects, dedicated teams, workshops, and ongoing support—engaging with clients at any stage from validating AI feasibility to scaling existing implementations.
| Name | Title |
|---|---|
| Przemysław 'Shemmy' Majewski | CEO |
| Maciej Karpicz | CTO |
Built a GPT-powered Virtual Assistant platform for Post University to automate student advising. Integrated LangChain and RAG systems with the university’s data sources to deliver personalized responses via text and voice. Reduced manual workload, improved user engagement, and positioned the university as an AI leader in education.
An AI virtual assistant that processes emails to extract meeting details and provide instant status updates. Turns complex email threads into quick overviews, halving time spent on scheduling.
A scalable and 100% reusable cloud solution that simplifies decision-making processes for 8,000 shops (supported with explainable models), reduces food waste and increases revenue.
Validated concept for an AI home care platform through AI Product Blueprint and stakeholder workshops. Delivered implementation roadmap, budget estimation, and clickable prototype.
We enhanced TC Global’s EdTech platform by improving scalability, speed, and feature set—introducing a neural network–based recommendation system and replacing the legacy search engine with ElasticSearch. The solution supported millions of users and advisors with smarter, faster results.
We partnered with Hello Chef to modernize their machine learning infrastructure. We introduced MLflow for streamlined model tracking and comparison, enhancing code quality through rigorous business logic tests. By establishing an agile workflow, we improved team collaboration and efficiency. This transformation empowered Hello Chef to scale their ML operations effectively, leading to more accurate predictions and optimized meal-kit deliveries.
An AI-based student assistant designed to act as a 24/7 personal academic advisor, providing personalized, accurate information to help students make informed educational choices.
By: Hitesh Pachpor, Hello Chef
DLabsAI's approach to continuous learning resonated deeply with our company culture. We truly appreciate the extensive learning opportunities they provided. When we faced challenging obstacles, their support helped us overcome them and successfully achieve nearly all our significant goals.
By: Matt Criticos, Boldly
We've worked with DLabsAI for 12 months, developing AI features for a new product designed to improve our team's effectiveness. In partnership with our application developers, they delivered feature scoping and design services, proof-of-concept models, infrastructure implementation, and MVP development. The product is currently in beta, with the first live iteration scheduled to release shortly. Throughout the project, we found the DLabsAI team focused, knowledgeable, and responsive. We're delighted with the progress made and look forward to further product development. We're more than happy to recommend them.
By: Kamil Starski, Unamo
DLabsAI helped us develop new features for our marketing SaaS product: logo detection in images using machine learning. They created experiments to validate the concept, then implemented the complete solution. The team joined our scrum meetings and quickly worked like one team. What impressed us most was their great knowledge of machine learning. Thanks to their work, we delivered new features much faster than we could in-house. We used JIRA, GitHub, and Slack.
By: Martins Jansevskis, Monetizr
DLabsAI developed both a machine learning algorithm and a web application with a backend API for us. The solution launched as initially planned. What we appreciate most is direct access to project managers and developers—this prevents technical details from getting lost in translation. The team regularly met deadlines and communicated potential delays. We coordinated through Slack, Jira, and Google Meet.
Source: https://www.50pros.com/agency/dlabsai-2
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