ZenoTM
AI Infrastructure for Supply Chain Data
Zeno transforms complex supplier documents into structured, machine-readable data using AI built for industrial workflows.
Designed for high-volume supply chains, Zeno eliminates manual data entry, reduces operational costs, and accelerates workflows by extracting, validating, and structuring information directly from PDFs and technical documentation.
Built for industrial-scale automation, Zeno integrates seamlessly into existing enterprise systems — turning fragmented supplier data into operational intelligence.
Key capabilities
- Extract structured data from complex PDFs and supplier documentation
- Achieve high accuracy using document-specific AI models
- Integrate directly with ERP, PIM, PLM, and ESG systems
- Maintain a clear audit trail with reviewable source documents
- Cost-efficient processing at industrial scale
CiceroTM
Environmental Intelligence for Construction Products
Cicero delivers structured, quality-assured environmental intelligence for construction materials and products at scale.
The platform transforms fragmented environmental declarations into accessible, actionable data — helping organizations compare products, evaluate environmental impact, and integrate sustainability intelligence directly into digital workflows and decision-making.
Designed for the next generation of sustainable construction, Cicero makes environmental data operational across projects, teams, and systems.
Key capabilities
- Search and compare environmental data across extensive product datasets
- Upload and decode declarations within minutes
- Standardize data from EPDs, PEPs, and other declaration formats
- Create custom material sets for comparison and project workflows
- Deliver data through dashboards, APIs, and exportable formats
ACORNTM
Agentic AI for Low-Carbon Concrete Design
ACORN uses agentic AI to develop optimized low-carbon concrete mixes across performance, cost, climate impact, and engineering constraints.
Combining material science, machine learning, and engineering expertise, ACORN accelerates the development of high-performance concrete recipes for real-world production environments while maintaining strict confidentiality for proprietary data and models.
Designed for the next generation of intelligent concrete engineering.
Key capabilities
- Optimize concrete mixes across performance, cost, and emissions targets
- Apply agentic AI for multi-constraint engineering optimization
- Integrate large-scale material and experimental datasets
- Incorporate local standards, codes, and production requirements
- Structure fragmented technical information using natural language processing
Bespoke AI & Analytical Innovation
Applied AI for Sustainable Industry
Ecometrix develops tailored AI systems and analytical infrastructure for complex industrial and sustainability challenges.
From intelligent automation and predictive analytics to optimization engines and environmental intelligence platforms, we build scalable systems designed for real operational environments, industrial constraints, and measurable impact.
Our solutions combine advanced AI with deep domain expertise to help organizations operate smarter, faster, and more sustainably.
Key capabilities
- Custom AI and machine learning systems for industrial applications
- Predictive analytics and optimization models for operational efficiency
- Intelligent automation of engineering and sustainability workflows
- Integration of enterprise systems, APIs, and industrial data platforms
- Decision-support tools built around real-world operational constraints
Ecometrix keeps track of your current situation. This is the prerequisite for taking the next step in climate work.
Do you want to know more about how our tools can help you?
Book a demo with us and get a tour of a unique tool in the construction sector.