Agentic Sustainability Platform · 75+ workflows

The engine computes the number.
The model only writes the story.

GaiaLM is a purpose-built sustainability platform where a deterministic engine owns every figure, and the language model is confined to narrative. No fabricated numbers. Every output reproducible, sourced, and audit-ready.

75+
Agentic workflows
40+
Frameworks & standards
0
Model-invented figures
The architecture

A firewall between the math and the language.

Generic LLMs invent figures that look plausible and can't be traced. GaiaLM splits the two jobs so a model never has the chance.

● Deterministic engine

Owns every number

  • Calculations run on validated methods, factors and datasets — not model weights
  • Same inputs always return the same figure, to the decimal
  • Each value carries its inputs, method and source
  • Regulatory logic encoded from primary standards
anti-fabrication layer
◆ Language model

Owns only the narrative

  • Explains, contextualises and drafts disclosure prose
  • Reads computed figures — it cannot alter or invent them
  • Cites the engine's provenance inline
  • Agentic across 75+ workflows, never off the leash

If the engine didn't compute it, it doesn't appear in the report.

Why teams trust the output

Built for the number that ends up in front of an auditor.

ESG figures get filed with regulators, cited to investors and defended in assurance. GaiaLM is engineered for that scrutiny.

01 / ANTI-FABRICATION

Anti-Fabrication Layer

The model is structurally barred from producing figures. Numbers come only from the deterministic engine, so there is no hallucinated tonne, cost or score anywhere in the output.

02 / REPRODUCIBILITY

Reproducibility

Every run is deterministic. Feed the same inputs a year later, in a different session, and you get the same result — down to the decimal. Assurance teams can re-run and reconcile.

03 / TRACEABILITY

Traceability

Click any figure to its full lineage: input data, method applied, standard invoked and source dataset. A complete audit trail travels with every disclosure, ready for review.

The anchor module

Sustainable Finance Intelligence, built for the C-suite.

Beyond compliance, GaiaLM turns sustainability data into decisions. The anchor module gives finance and executive teams a single place to run decarbonisation, budgeting and capital allocation on numbers they can defend.

Decarbonisation pathwaysModel marginal abatement curves and target trajectories against SBTi-aligned scenarios.
Carbon budgetingAllocate emissions budgets across business units and track spend against them in real terms.
Investment decisionsRank capital projects on cost-per-tonne abated, payback and regulatory exposure — side by side.
Abatement portfolio FY26 · $ / tCO₂e
Grid renewable PPA−$18 / t
Process electrification$34 / t
Green hydrogen switch$96 / t
Verified removals$142 / t
Net-positive Capital-intensive every figure · traceable
The coverage index

One platform across the full sustainability agenda.

75+ agentic workflows spanning climate, finance, trade, ratings, nature and product compliance — each with the same deterministic backbone.

[ 75+ workflows · 40+ frameworks ]
A · CLIMATE RISK

Climate Risk & Disclosure

TCFDIFRS S2ESRS E1Physical riskScenario analysis
B · FINANCE

Sustainable Finance

PCAFEU TaxonomyFinanced emissionsTransition finance
C · TRADE

Carbon & Trade Compliance

CBAMCCTSEmbedded emissionsBorder levies
D · RATINGS

ESG Ratings Prep

EcoVadisCDPDJSIMSCISustainalytics
E · NATURE

Nature & Biodiversity

TNFDEUDRDeforestationFLAGBlue carbon
F · TARGETS

Targets & Pathways

SBTiNet-ZeroMACCTransition plans
G · COMPLIANCE

Corporate & Product

CSRDCSDDDBRSR CoreREACHEPRPPWR
H · ASSESSORS

Gap Assessors

GRESBGHG ProtocolGRISASBAll frameworks

+ Sustainable Design, LCA, Scope 3 modelling, supplier engagement and heavy-emitter sector suites (steel · cement · aluminium · chemicals).

Industry-agnostic

Tuned to the sector, not locked to one.

The same deterministic core, with methods and factors calibrated to each industry's footprint and reporting duties.

Manufacturing
Aviation
Transportation
Retail
Food & Agriculture
Energy & Utilities

Also serving — pharma · financial services · real estate · data centres · mining · chemicals · logistics · hospitality

Security & compliance

Enterprise-grade trust, certified and tested.

GaiaLM runs on the security and compliance infrastructure maintained across the Sustainext platform — independently certified, regularly tested, and built for regulated enterprise data.

ISO 9001
Quality management
ISO 22301
Business continuity
ISO 27001:2022
Information security
GDPR
Data protection compliant
VAPT
Pen-tested regularly
Tenant data isolation Never used to train models Regional data residency Encryption in transit & at rest
Visit the Trust Center →
Questions

The short answers.

What GaiaLM is, how it sits in your stack, and how it stays defensible.

How is GaiaLM different from a general-purpose LLM?
A general-purpose model generates everything — including numbers — from probability. It will happily produce a plausible-looking emissions figure or rating that is simply invented, with no source and no way to reproduce it. GaiaLM inverts that: a deterministic engine computes every number from validated methods and your data, and the language model is confined to explaining those numbers. You get the fluency of an LLM with none of the fabrication risk, and a full audit trail behind every figure.
We already have an ESG data platform. Why do we need GaiaLM?
Those are systems of record — they store and organise your ESG data. GaiaLM is the system of intelligence that sits on top: it reasons over that data, runs the regulatory calculations, assesses gaps, models decisions and drafts defensible narrative. It ingests from your existing platform and feeds structured, sourced outputs back to it. The record keeps the data; the intelligence layer decides what it means.
Is GaiaLM a reporting platform?
Reporting platforms are the last mile — they format finished figures into filings and disclosures. GaiaLM works upstream, doing the calculation, assessment and analysis that produce those figures in the first place, each with provenance attached. Outputs export cleanly into whatever disclosure or reporting tool you already use, so it complements rather than replaces them.
How do you stop the model from inventing numbers?
The Anti-Fabrication Layer structurally separates computation from language. The model has no authority to produce a figure — it can only read and narrate what the deterministic engine has already computed. If the engine didn't calculate it, it cannot appear in the output. Every figure carries its inputs, method and source so it can be re-run and reconciled.
Which frameworks, ratings and sectors do you cover?
75+ workflows across climate risk, sustainable finance, carbon & trade compliance (CBAM, CCTS), nature (TNFD, EUDR, FLAG), targets (SBTi), corporate & product compliance (CSRD, CSDDD, BRSR, REACH, EPR), ratings readiness (EcoVadis, CDP, DJSI, MSCI, Sustainalytics) and gap assessors for every major standard. The engine is industry-agnostic, with methods calibrated per sector.
Where is our data stored?
Data is isolated per tenant, encrypted in transit and at rest, and never used to train models. Regional data residency is supported across multiple jurisdictions.Regions TBC
Is there a free trial?
Yes — we offer a guided trial on a sample of your own frameworks and data, so you can see the provenance behind real outputs before committing.Details TBC
How is GaiaLM priced?
Pricing is tiered by workflows, seats and data volume, with plans for teams, enterprises and advisory partners. Talk to us for a quote scoped to your footprint.Tiers TBC
Get started

See a report you could hand to an auditor.

Book a walkthrough on your own frameworks and data. We'll run a live workflow and show you the provenance behind every figure.

No fabricated numbers. No black box. Just traceable intelligence.