One system for ESG data, across every site.
ESG reporting was fragmented across teams and sites, making it hard to trust the numbers or get a report out on time. We built ESG Hub: a centralised platform that collects environmental, social and governance data in one place and turns it into dashboards and reports stakeholders can actually rely on.
From raw ESG data to a report leadership trusts.
Numbers nobody could
fully stand behind.
Cold Solutions Services needed to track and report ESG data across cold chain and construction operations spanning multiple sites and teams. The processes behind it were fragmented — data collected in different formats, by different people, with no single place it all landed.
That made it difficult to trust the numbers, hard to produce a report on a fixed deadline, and harder still to give internal leadership and external limited partners the kind of clear, timely insight they were asking for.
Four pillars behind ESG Hub.
We designed and built ESG Hub as a modular data product, tailored to how ESG data actually moves through a cold chain and construction business — not a generic compliance tool with a new coat of paint. Four pillars carry the platform.
Centralised data collection
Every operational area feeds ESG data into one structured system, instead of scattered spreadsheets that never quite agree with each other.
Custom dashboards
Built-in BI and ESG dashboards let teams monitor sustainability performance, emissions, workforce metrics and compliance indicators live, not once a quarter.
Automated reporting
Periodic reports for regulators, investors and internal leadership are generated from the same underlying data, cutting the manual work and keeping every report consistent.
Stakeholder access
Role-based access means each stakeholder sees the data relevant to them, with transparency and traceability built in rather than bolted on.
What changed in ESG reporting.
Data stakeholders
can rely on.
ESG Hub is now how Cold Solutions Services manages ESG data and communicates performance to internal leadership and external limited partners — replacing fragmented spreadsheets with one trusted system.
It was built to keep going. Modular and secure by design, so new metrics, sites and reporting requirements slot in without unpicking what is already there.
One place where all ESG data actually lives
Dashboards stakeholders check instead of asking for an update
Regulatory and investor reports generated, not assembled by hand
Role-based access so people see what is relevant to them
Consistent numbers across every report, every time
One system covering both cold chain and construction sites
Where AI does the work in ESG Hub.
AI is what turns the platform's live operational data straight into a report a regulator or investor can read — not a chatbot bolted on top, but the reason "generated, not assembled" is actually true.
Stakeholder reports that write themselves.
Cold Solutions Services needed reports that internal leadership and external limited partners could actually trust on a fixed deadline — not another spreadsheet reconciled by hand. AI is what drafts those reports straight from the platform's own live data, so the numbers and the narrative around them are generated together, consistently, every time.
Reports written, not just assembled
Periodic reports for regulators, investors and internal leadership are drafted directly from live operational data — narrative and all — instead of a person turning numbers into prose against a deadline.
Consistent, and traceable back to the source
Because the same underlying data and drafting logic produce every report, the numbers and the narrative stay consistent release to release, and every figure traces back to where it came from — built for scrutiny, not just speed.
Two phases in, and still evolving.
Phase 1
April 2023 – September 2023
UI/UX improvements & redesign
July 2025
Ongoing development
Version 2 in progress
What the platform is built with.
A deliberately unexciting stack — chosen because it holds up in production, not because it was new.
Microsoft Azure
Python
FastAPI
MS SQL
Databricks
React.jsOther data products we've shipped.
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Questions, answered straight.
Have an outcome in mind?
We'll help you
ship it.
- You're building a data product and need a team that can deliver.
- You want to get AI-ready — pragmatically, not theoretically.
- Your reporting is a mess and you need a real platform underneath it.