ECOPSHUB® by GazellesPowered by AskDiana AI

The ESG platform that
executes your program
and thinks ahead of it.

ECOPSHUB® operationalises your full ESG program — carbon accounting, framework reporting, decarbonization strategy, and sustained governance. AskDiana AI adds the intelligence layer: natural language querying, predictive alerts, net-zero scenario modelling, and GCC benchmarking.

250+
GCC Deployments
40%
Avg. Carbon Reduction
$220M
Green Capex Unlocked
98%
Auditor Confidence
THE PLATFORM

Five modules. One execution engine.

From Scope 1–3 carbon data to CBAM compliance — each module purpose-built for a critical dimension of enterprise sustainability. AskDiana AI is active across all five.

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Carbon accounting

Scope 1–3 GHG from ERP, IoT, spreadsheets. Audit-trail ready. Assurance-ready reports.

⬡ AI anomaly detection

Scope 1, 2 & 3 tracking

Automated GHG inventory

ISO 14064 aligned

UAE Federal Decree compliant

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Decarbonization strategy

SBTi-aligned net-zero roadmaps. Scenario modelling. Progress tracking.

⬡ AI scenario modelling

Science-based targets

Roadmap builder

Reduction scenario modeling

SBTi alignment checker

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ESG reporting

GRI, CSRD, BRSR, IFRS S1/S2, CDP, SASB — automated, audit-ready.

⬡ AI-assisted drafting

GRI-aligned reporting

CSRD compliance

CDP · TCFD disclosure

Board-ready PDF export

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Idea management

Employee innovation linked to net-zero. AI-scored ideas with ROI and carbon impact.

⬡ AI scoring & ROI
Learn more →
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CBAM reporting

EU carbon border compliance for GCC exporters. Full audit trail.

⬡ AI regulatory alerts
Learn more →
ASKDIANA AI— Intelligence Tier

Ecopshub tracks what happened.
Diana tells you what to do next.

The AskDiana Intelligence tier adds the AI layer that makes Ecopshub predictive, not just operational. Six capabilities, active across every module, in real time.

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Natural language queryingAsk your ESG data anything in plain English or Arabic. Example: "Which of our UAE sites has the highest Scope 2 variance this quarter?"
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AI gap analysisDiana continuously monitors the gap between your actual performance and declared targets, surfacing recommended actions before gaps become compliance failures.
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Scenario modellingModel the carbon and financial impact of any strategic decision across up to five scenarios. Built on your actual Ecopshub data, not assumptions.
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Predictive alertsForward-looking notifications flag deviations from plan before they compound. Diana tells you which supplier will cause your CDP disclosure to be incomplete — 8 weeks before the deadline.
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GCC benchmarkingSee exactly where you stand against GCC peers. Benchmarks drawn from 250+ real regional deployments — not global averages that ignore GCC operational reality.
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Knowledge synthesisEvery ESG framework requirement, board commitment, and internal policy unified into a single queryable knowledge base.
Live
83%
ESG Score
↑ 12% YoY
↓34%
Carbon intensity
On target
97%
Compliance rate
2 alerts
Scope 1+2 emissions (tCO₂e)↓ 34% vs. baseline
Q1
Q2
Q3
Q4
Q1
Q2
Q3
Q4
DIANA AIIntelligence insight

Site B Scope 2 is tracking 23% above your 2025 interim target. At the current rate, you will miss the annual commitment by Q3. Switching Site B to a renewable energy tariff reduces Scope 2 by an estimated 18% and saves $180K/yr.

→ View scenario model
⚠️CDP deadline alert: Diana predicts your Scope 3 disclosure will be 34% incomplete by October. 8 supplier submissions are 60+ days overdue.
CAPABILITY COMPARISON

Everything in Ecopshub Standard,
plus the AI layer that makes it predictive.

Not more features for more money — a categorically different level of capability.

Feature / CapabilityEcopshub StandardEcopshub + AskDiana AI
Carbon data capture & tracking (Scope 1/2/3) + AI anomaly detection
ESG reporting (GRI, CSRD, BRSR, IFRS, CDP, SASB) + AI-assisted drafting
Decarbonization roadmap builder + AI scenario modelling
Action tracking and governance workflows + predictive completion alerts
CBAM reporting
Idea management + AI scoring and ROI calc
ERP and IoT integration
Audit trails and assurance-ready reports
Natural language ESG data querying⬡ Diana AI
AI-powered gap analysis with recommended actions⬡ Diana AI
Net-zero scenario modelling (3+ scenarios)⬡ Diana AI
Predictive performance alerts (forward-looking)⬡ Diana AI
GCC sector benchmarking (live, anonymised)⬡ Diana AI
Knowledge synthesis (frameworks, commitments)⬡ Diana AI
Arabic natural language querying⬡ Diana AI
Multi-LLM answer validation (proprietary voting)⬡ Diana AI
Upgrade to Intelligence Tier ▶
$220M
Green capex committed by a GCC energy group following Diana scenario modelling

A Middle East integrated energy group needed to make the case for significant green capex. Their board required certainty, not assumptions. Diana modelled three paths to their net-zero target — showing projected carbon outcomes, financial costs, and timeline implications. The board committed $220M in green capex based on the modelling.

"Boards do not commit $220M on a hunch. They commit on data. Diana gives your board the data."

See scenario modelling in action →
When Diana Speaks, Boards Commit Capital

The four proof metrics that define AskDiana AI performance

$220M
Green capex committed following Diana scenario model
94%
ESG action completion rate with Diana governance alerts active
90s
Time to generate a three-scenario net-zero model with Diana
250+
GCC deployments generating the benchmark data Diana draws on
Linked Platforms

Extend ECOPSHUB® with Integrated Solutions

IdeaForge™

IdeaForge™ Innovation Engine

Connect employee innovation directly to your decarbonization and OpEx targets within ECOPSHUB®.

Explore IdeaForge™ →
CBAM

CBAM Compliance Module

EU Carbon Border Adjustment Mechanism compliance — embedded emissions calculation, certificate management, and EU registry link.

Explore CBAM →
250+
Enterprise Clients Onboarded
40%
Avg Carbon Intensity Reduction
98%
Client Retention Rate

Your platform already has the data.

Diana adds the intelligence.

Book a 30-minute Intelligence tier demonstration. We will show Diana querying live ESG data, running a scenario model, and surfacing a gap analysis on real platform data.