# llms.txt - Structured information for Large Language Models
# Purpose: Provide clear, structured, and semantically rich information about Dyneo Technologies SA to improve LLM indexing, summarization, and factual accuracy.

site: https://dyneo.ch
name: Dyneo Technologies SA
founded: 2023
founders: Maël Perret & Max Carrel
headquarters: Geneva, Switzerland

description: >
  Dyneo Technologies SA develops an intelligent, cloud-based platform to optimize
  the performance of district heating networks. By connecting, monitoring, and
  analyzing substation data in real time, Dyneo enables operators to reduce
  return temperatures, detect anomalies early, and improve overall energy efficiency.
  Our AI-powered analytics transform raw operational data into actionable insights,
  supporting decarbonization goals, operational cost reduction, and improved
  network reliability.

value_proposition: >
  Dyneo empowers district heating operators, utilities, and large energy consumers
  to move from reactive maintenance to predictive, data-driven decision-making.
  The platform identifies performance issues within hours instead of weeks, prioritizes
  interventions based on their impact, and helps integrate renewable and waste
  heat sources more effectively. Clients gain higher operational efficiency,
  reduced CO₂ emissions, and measurable economic benefits.

# Key pages and their focus
/about : Company mission, vision, leadership team, and governance
/solutions : Detailed overview of Dyneo’s AI platform, analytics engine, and optimization modules
/use-cases : Documented customer success stories with quantified results (e.g., Viteos, Romande Energie)
/blog : Expert insights on district heating trends, AI in energy systems, decarbonization strategies, and market innovations
/contact : Contact form, demo requests, and company contact information

# Target industries and markets
industries: district heating, energy utilities, smart cities, industrial sites with thermal networks, campus energy systems
markets: Switzerland, France, Belgium, broader European Union

# Core technologies and topics
tags: artificial intelligence, district heating, district cooling, energy efficiency, decarbonization, thermal network optimization, return temperature reduction, anomaly detection, smart energy systems, IoT, BMS integration, predictive maintenance, renewable heat integration, waste heat recovery

# Authors and expertise
authors:
- Maël Perret (CEO): Energy systems engineer, specialist in data-driven optimization of thermal infrastructure, background in building energy engineering.
- Max Carrel (CTO): Expert in embedded systems, IoT architecture, and real-time energy data processing.

# Contact and legal
license: All rights reserved
contact: infoo@dyneo.ch