To be reliable, AI-generated emissions data must adhere to global standards. Muir's methodology is third-party assured to ISO 14067. Every PCF we generate follows this rigorous framework. Users can also apply further methodology constraints, such as Battery Product Category Rules consistent with the EU Battery Regulation (EUBR), depending on their specific compliance needs.

Muir creates dynamic PCFs, utilizing a blend of primary and secondary data. Because of our Synthetic BOM engine, an accurate PCF can be generated with as little as a product name and sourcing location. As more data becomes available, the model can be enriched with your actual BOMs, facility energy data, or full upstream material sourcing information.

Gathering primary data from Tier 1 and Tier 2 suppliers is traditionally a bottleneck. Muir solves this by providing users with the ability to automatically survey and gather data from suppliers for decarbonization efforts or regulatory reporting (like EUBR). This is done through a secure supplier portal that protects their sensitive data, streamlines reporting, and allows the AI to fill in any remaining data gaps.

Yes. For regulatory compliance, traceability is mandatory. All PCFs created on the Muir Platform are audit-ready. Every footprint is supported by complete visibility into the material breakdowns, energy consumption, manufacturing steps, and supply chain sourcing, providing the exact emissions source for every node in the value chain.

Beyond simply reporting emissions, Muir evaluates each product for actionable decarbonization opportunities. Our models analyze multiple reduction strategies, such as using recycled content, altering manufacturing pathways, or changing sourcing regions. Each strategy is scored against its emissions impact, cost implications, and overall feasibility, ensuring you get recommendations that benefit both the planet and the bottom line.

A Synthetic BoM is an AI-generated approximation of a product's material makeup and manufacturing processes, used when primary supplier data is missing or incomplete. Muir’s BoM engine is built on our proprietary materials and manufacturing dataset. Combined with AI search, it takes simple procurement data (product name, mass, and supplier) and reconstructs the likely material composition for a product. This allows engineers and supply chain teams to instantly analyze thousands of SKUs without waiting for vendor quotes.

Yes. Enterprise AI tools must ensure your data is never used to train public models. Muir employs enterprise-grade security, including SOC 2 Type II compliance and data encryption at rest and in transit. Your proprietary data remains completely siloed and accessible only to your authorized users.

Yes, Muir offers API-based integrations and bulk-upload capabilities that ingest data directly from your existing ERP or PLM systems. Because our AI is highly flexible, it eliminates the need for manual data cleaning and can easily handle obscure part numbers, messy data, or incomplete BoMs.

While AI automates heavy data processing, "Human-in-the-Loop" ensures accuracy by keeping subject matter experts in control. Muir believes in transparent AI; every classification, footprint, or cost model we generate includes the underlying logic and source data. This allows your cost engineers or sustainability professionals to verify, override, or fine-tune results. Refinements are then stored so your organization can reference the updates in the future.

Don't worry, we have all been there! For those struggling to say Muir, it rhymes with pure.