Comete.ai helps mid‑size and large enterprises digitize and automate customer‑facing processes by combining generative AI (LLM/NLU) with specialized human expertise. It audits existing workflows, builds custom conversational agents and automation that integrate with CRM, ERP and contact‑center systems, and provides real‑time quality monitoring and compliance with RGPD and AI Act. The result is faster resolutions, higher NPS, and measurable cost reductions within six months.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often struggle with high operational costs, low customer satisfaction, and inefficient handling of large volumes of routine interactions. Legacy processes require manual effort, leading to slow response times and limited scalability of customer service operations.
Solution
Comete.ai combines generative AI (LLM/NLU) with specialized human expertise to digitize and automate customer-facing processes. The company conducts an audit to identify automatable touchpoints, then designs and deploys custom conversational agents, bots, and workflow automation that integrate with existing CRM, ERP, and contact‑center systems. Real‑time quality monitoring and compliance with RGPD and AI Act ensure reliable performance. By offloading repetitive tasks to AI, human agents can focus on high‑value interactions, delivering faster resolutions, higher NPS, and measurable cost reductions within six months.
Target Audience
Primary customers are mid‑size to large enterprises in sectors such as telecommunications, insurance, utilities, and service providers that manage high volumes of customer interactions and seek to reduce operational costs while improving satisfaction.
Features
- End‑to‑end digital transformation workflow: audit, process redesign, technology deployment, and ongoing operations management
- Custom conversational agents (chatbot, voicebot) powered by large language models with domain‑specific fine‑tuning
- Seamless integration with legacy CRM/ERP and contact‑center platforms via APIs and middleware
- Real‑time quality monitoring and compliance engine adhering to RGPD and AI Act standards
- Augmented‑agent interface that provides decision‑support, summarization, and automated response suggestions
- Data preparation services (Digital Factory) to structure and enrich enterprise data for AI consumption
- Continuous bot performance optimization through a dedicated Bot Academy and analytics dashboards