Granular data for accountable, AI-ready public reporting.
Now accepting design partners across government, healthcare, education, and major NGOs.
Public-sector organisations face the same shift hitting banking and industry — aggregated impact reports no longer satisfy funders, regulators, or citizens, and AI pilots stall on fragmented data. Evercomm is bringing the same granular data infrastructure that powers SMBC's financed emissions and Thai Airways' operations to public-sector use cases, starting 2026.
Public reporting is moving from aggregated annual narrative to granular operational evidence.
Citizens want to see what was actually done with the resources. Funders want outcomes tied to spend at programme level, not aggregated at the annual report level. Auditors want the same evidence the operations team uses. AI teams want to apply the same models that work in the private sector — and find the data isn't there yet.
The shift in public sector is quieter than in banking or industry, but the direction is identical: from aggregated narrative to granular, source-traceable, queryable evidence. The organisations moving first are the ones that will define the standard.
Same granular data layer. Adapted for public-sector reality.
Public-sector deployments share a base architecture with banking and industrial — same Nx-Engine, same lineage discipline, same multi-standard rule packs — and add four things that public-sector buyers consistently ask for.
Data sovereignty options
On-premise, in-country cloud, and hybrid deployments. The data doesn't have to leave the jurisdiction. Already operating to Singapore residency standards; extending the same discipline across APAC.
Mission-aligned metrics
Outcome and impact indicators alongside emissions and resource data. The Nx-Engine treats programmatic data with the same lineage discipline as sensor data.
Multi-stakeholder access
Finance, programme, audit, and external funder views on the same granular base — with role-based scoping so each stakeholder sees the data they're authorised for, no more.
Funder-grade reporting
Granular evidence packs for funders and auditors, generated as a query rather than assembled by hand each cycle. The same base supports the IATI standard, GRI-aligned NGO reporting, and government-specific disclosure frameworks.
What public-sector organisations are scoping with us now.
Government agencies
Whole-of-government accountability data.
Carbon, energy, water, and waste reporting tied to operational data across ministries, statutory boards, and government-linked entities. ISSB- and GRI-aligned disclosures generated from source. Foundation for AI on public-sector operations — facilities optimisation, fleet decarbonisation, procurement emissions.
Healthcare systems
Emissions and resource data tied to clinical outcomes.
NHS-style Net Zero pathways built on granular, hospital-level evidence. Pharmaceutical Scope 3 engagement on real prescribing and procurement data. Foundation for clinical AI that auditors and ethics boards will accept.
Education networks
Campus operations at building and faculty level.
Campus operations, transport, food, procurement, and research-emissions reporting at building and faculty level. SBTi-aligned target setting with operational evidence. Foundation for AI in facilities, energy, and student services.
Major NGOs & foundations
Programmatic data with financial-grade lineage.
Programmatic and impact data with the same lineage discipline as financial reporting. Funder-grade evidence packs. Cross-programme efficiency benchmarking. Foundation for AI on programme design and donor engagement.
Six to eight organisations across APAC. The cohort closes when it's full.
We're working with a small cohort of public-sector organisations to co-design the deployment patterns that will define the broader launch.
What design partners get.
Direct line to the engineering and policy teams. Pricing and influence held for a full year before the broader launch.
- Co-design access to the Nx-Engine rule packs and reporting templates being built for public-sector regimes.
- Founding-partner pricing held through 2027.
- Direct line to the Evercomm engineering and policy teams.
- First access to the public-sector AI agents built on the granular base.
Practical commitments.
In return, design partners contribute deployment experience, sector-specific data realities, and reference-customer status post-launch.
- A scoping conversation, then a 6–10 week joint design phase.
- Phased deployment across one or two reporting cycles.
- Feedback sessions through the cohort year.
- Reference-customer status when they're ready — not before.
Public sector is new for us. The data infrastructure is not.
The Nx-Engine that public-sector design partners deploy is the same engine that ran across a decade of industrial deployments and is launching the SMBC banking deployment in Q3.
From banking
From industrial
Standards extensible to public sector
Questions we hear from public-sector teams.
Same infrastructure, different sectors.
Position-level financed emissions.
Building with SMBC and CTBC. PCAF v2025, MAS 610, and the ABS Q3 reveal.
See the banking platform → 02 / IndustrialOne granular base. Every report. Every model.
Thai Airways, Mitsubishi, Jurong Port — a decade of industrial deployments.
See the industrial platform →Join the 2026 cohort.
Six to eight public-sector organisations across APAC will help define how the granular data shift plays out in government, healthcare, education, and major NGOs. The cohort closes when it's full.