Results for "LangChain”
LangChain
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UppLabs is a software development company delivering secure, compliant, and AI-powered solutions for FinTech, Healthcare, and Real Estate companies since 2014. Trusted by 120+ clients, we help businesses launch scalable digital products faster through full-cycle development, cloud infrastructure, and AI-driven engineering solutions.
LangChain
Web Apps
SaaS
Blockchain & Crypto
Booking Systems
Banking & Trading Platforms
Kubernetes
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RELEVANT TALENT
CASE STUDIES
AI Banking Assistant: LLM & RAG Development for Enterprise Digital Bank | Fintech AI SolutionThe bank operated a traditional call center handling 500K+ monthly customer queries, resulting in 12-minute average response times, high operational costs, and inconsistent service quality across channels.
Rubix Code DOO is a full-stack AI development company specialising in building compliant AI ecosystems across healthcare, real estate, business intelligence, and legal tech. We partner with clients to design and deliver end-to-end AI solutions, from data infrastructure and cloud-based inference to industry-facing dashboards and actionable insights.
LangChain
AI & ML Solutions
Web Apps
Website Design
Data Analytics and Visualization
Conversational AI
Python
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RELEVANT TALENT
CASE STUDIES
- Knowledge Graphs and Grounded AI Memory AI agents and analytics systems hallucinate, producing confident but unverified outputs that cannot be deployed in regulated or high-stakes environments.
Your long-term engineering partner for complex software challenges. Kozak Group is a software development company with over 10 years in the industry and a team of 100+ specialists. We build custom software, AI and ML products, and complex e-commerce systems for projects that require real technical depth and domain experience. On time.
LangChain
E-Commerce
AI & ML Solutions
Integrations
ERP
CRM
Magento
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RELEVANT TALENT
CASE STUDIES
AI-powered candidate recruitment system for medical studies and chat assistant.Areti Health needed to accelerate patient recruitment for multiple clinical studies. Manual candidate screening and coordination slowed down onboarding and increased operational costs. The goal was to create an AI-powered platform that automates matching and communication while maintaining full HIPAA compliance.
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