Live chat platform pairing human agents with AI for B2B lead generation
Weply operates a hybrid live-chat service where trained human agents handle conversations for B2B companies, augmented by AI and machine learning. The stack—Python, TensorFlow, PyTorch, scikit-learn, plus RAG and MLOps adoption—reveals an ML-first backend designed to coach and optimize agent performance at scale. Hiring is almost entirely sales-focused (6 of 8 open roles), with concurrent investment in RAG systems and chatbot infrastructure, pointing toward automation of lower-friction conversations while preserving high-touch lead qualification.
Weply provides 24/7 live chat services to B2B companies seeking qualified lead generation and customer support. The company deploys pre-trained human chat agents—supported by AI-driven insights from millions of prior conversations—to manage inbound chat conversations and drive sales conversions. The service operates across offices in Copenhagen and Sofia, serving over 2,500 companies. Current scaling efforts focus on expanding sales teams into new markets (Sweden, Norway) and improving conversion workflows through sales-process refinement and customer-success automation.
Weply's stack includes Python, TensorFlow, PyTorch, and scikit-learn for modeling, plus MySQL and MongoDB for data storage on AWS infrastructure. The company is actively adopting RAG and MLOps to power agent recommendations and operational pipelines.
Weply is actively pursuing B2B customers in Sweden and Norway, with concurrent sales-process implementation projects underway to support geographic expansion and improve conversion rates across regions.
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