# IBM Envizi: how AI models rank it, October 2026

Finance AI Recommendation Index, October 2026 Edition. Named in 17 judge labels across 1 categories by 12 of 14 models. Page: https://finance-ai-index.com/vendors/ibm-envizi/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| ESG and carbon reporting | 0% | 29 | 35% | 17 |

## What the models said for it

- "Choose IBM Envizi or Novisto if: You have a complex, multi-country organization with disparate data sources" (Qwen 3.7 Flash, ESG and carbon reporting)
- "Worth a close look for large, multi-site organizations with complex utility or operational data." (GPT-6 Luna, ESG and carbon reporting)
- "For enterprise companies (1000+ employees), Workiva, IBM Envizi, and Microsoft are recommended" (Claude Haiku 4.5, ESG and carbon reporting)
- "Choose IBM Envizi if: Carbon accounting and environmental data automation is your priority" (Kimi K2, ESG and carbon reporting)

## And against it

- "Avoid massive enterprise platforms (like Salesforce Net Zero Cloud or IBM Envizi)" (Gemini 3.5 Flash, ESG and carbon reporting)
- "the hierarchy of controls limitation reported for IBM Envizi where the two-level limitation prevents certain customized adjustments, often requiring recourse to Excel" (Muse Glimmer 30B, ESG and carbon reporting)
- "Enterprise platforms like Sphera, IBM Envizi, or Diligent ESG are often overkill (and overpriced)" (DeepSeek V4 Flash, ESG and carbon reporting)
- "built for large corporations and carry five-figure price tags and long sales cycles" (Gemini 3.5 Flash, ESG and carbon reporting)

## Movement since September 2026

Floor: 10 points of share, measured on the calibration repeat. A larger change is movement; a smaller one is noise.

- ESG and carbon reporting: 0% to 0%, ±0. Inside the floor by 10 points · rank 25 → 29 of 110.

## In its own words

What IBM Envizi's own pages state, read 2026-09-28. Stated by the vendor, not checked by the index.

- Positioning: Strengthen reporting, reduce risk and accelerate decarbonization with trusted, AI-assisted sustainability data management (https://www.ibm.com/products/envizi)
- For: software teams (https://developer.ibm.com/articles/embed-emissions-insights-envizi-api)
- Price stated: Envizi’s pricing is based on the data volume you need to manage, ensuring scalability as your requirements grow. Your exact requirements will be scoped during the sales process and our pricing calculator will provide an indicative number. (https://www.ibm.com/products/envizi)
- Free plan or trial: try the IBM Envizi Emissions API for free by signing up and getting started in a few minutes (https://developer.ibm.com/articles/embed-emissions-insights-envizi-api)
- Customers named: Ikano Group, Downer Group, BanFast Förvaltning AB, GPT Group, Downer

## Record

- Method: https://finance-ai-index.com/methodology/
- Raw judge labels and full responses: https://finance-ai-index.com/data/
- License: CC BY 4.0. Cite as Finance AI Recommendation Index, October 2026 Edition, finance-ai-index.com.