Products
Compare NZC AI and ESG AI
Two specialist platforms with different domains. Most property and fund teams start with NZC AI; most corporate ESG and governance teams start with ESG AI. Many organisations use both.
Comparison
Capability by capability
| Area | NZC AI | ESG AI |
|---|---|---|
| Primary focus | Commercial property, energy and Net Zero Carbon | ESG strategy, evidence and reporting |
| Principal users | Property funds, asset managers, energy and carbon teams, building consultants | ESG directors, sustainability and governance teams, ESG consultants |
| Typical inputs | Building and portfolio data, energy and carbon data, EPC and survey documents | Policies, ESG evidence, organisational information, reporting requirements |
| Core analysis | Asset and portfolio performance, pathways, CRREM, compliance exposure | Gap assessment, materiality and risk, policy and strategy development |
| Typical outputs | Findings, Net Zero Carbon pathways, intervention plans, technical reports | Gap analysis, strategy, policies, action plans, reporting content |
| Portfolio scale | Asset-level through to full portfolio | Business unit through to group |
| Getting data in | Document and PDF ingestion into RFI fields, smart CSV upload in the client's own formats, bulk upload for large portfolios | Document and PDF ingestion into RFI fields, smart CSV upload for energy and transport data |
| Evidence and audit trail | Evidence and audit trail held against every individual data point | Evidence and audit trail held against every individual data point |
| Reporting depth | Fund, asset, unit and meter hierarchy, meter data with consent management, actual against benchmark carbon, water, coverage dashboard, data quality flagging, retrofit what-if simulation | Framework-driven disclosure content with the supporting evidence retained per data point |
| Compliance tracking | Compliance calendar and deadline tracking, EPC and TM44 register retrieval, building mapping with footprint and condition items | Reporting cycle and obligation tracking against the frameworks in use |
| MCP layer | Provides the specialist intelligence and MCP layer for Portal workflows | Uses the same MCP layer for assistance, ingestion and calculation |
| NZC Portal integration | Specialist intelligence and MCP layer for Portal workflows | Uses organisational and portfolio context where relevant |
| Consultant licensing | Individual and consultancy-team licences | Individual and consultancy-team licences |
Primary focus
NZC AI
Commercial property, energy and Net Zero Carbon
ESG AI
ESG strategy, evidence and reporting
Principal users
NZC AI
Property funds, asset managers, energy and carbon teams, building consultants
ESG AI
ESG directors, sustainability and governance teams, ESG consultants
Typical inputs
NZC AI
Building and portfolio data, energy and carbon data, EPC and survey documents
ESG AI
Policies, ESG evidence, organisational information, reporting requirements
Core analysis
NZC AI
Asset and portfolio performance, pathways, CRREM, compliance exposure
ESG AI
Gap assessment, materiality and risk, policy and strategy development
Typical outputs
NZC AI
Findings, Net Zero Carbon pathways, intervention plans, technical reports
ESG AI
Gap analysis, strategy, policies, action plans, reporting content
Portfolio scale
NZC AI
Asset-level through to full portfolio
ESG AI
Business unit through to group
Getting data in
NZC AI
Document and PDF ingestion into RFI fields, smart CSV upload in the client's own formats, bulk upload for large portfolios
ESG AI
Document and PDF ingestion into RFI fields, smart CSV upload for energy and transport data
Evidence and audit trail
NZC AI
Evidence and audit trail held against every individual data point
ESG AI
Evidence and audit trail held against every individual data point
Reporting depth
NZC AI
Fund, asset, unit and meter hierarchy, meter data with consent management, actual against benchmark carbon, water, coverage dashboard, data quality flagging, retrofit what-if simulation
ESG AI
Framework-driven disclosure content with the supporting evidence retained per data point
Compliance tracking
NZC AI
Compliance calendar and deadline tracking, EPC and TM44 register retrieval, building mapping with footprint and condition items
ESG AI
Reporting cycle and obligation tracking against the frameworks in use
MCP layer
NZC AI
Provides the specialist intelligence and MCP layer for Portal workflows
ESG AI
Uses the same MCP layer for assistance, ingestion and calculation
NZC Portal integration
NZC AI
Specialist intelligence and MCP layer for Portal workflows
ESG AI
Uses organisational and portfolio context where relevant
Consultant licensing
NZC AI
Individual and consultancy-team licences
ESG AI
Individual and consultancy-team licences
MCP layer
The intelligence layer behind both products
Both products sit on the same MCP layer: in-product assistance, document ingestion, data validation, deterministic calculation and continuous compliance updating. It is separately licensable to third-party software platforms and sits alongside the standalone products rather than replacing them.