Powering AI with facts.
Granular data infrastructure for banking, industrial, and public-sector compliance — built in Singapore, anchored in Asia, ready for the World.
Regulators are moving from aggregated reports to position-level granular data. AI deployments stall on the same gap. Evercomm builds the granular data layer underneath both — verifiable, audit-grade, AI-ready. So sustainability, productivity, and enabling finally compound in operations — not just in the disclosure.
Building with
Why this matters
Sustainability doesn't fail on ambition. It fails on data.
Granular facts plus AI is how sustainability, productivity, and enabling finally compound — across a balance sheet, a port, a portfolio. Not as a separate ESG project. As the operating evidence layer everything else runs on.
The granular shift is already underway.
Across banking, industrials, and public reporting, regulators are moving from aggregated annual disclosures to transactional, position-level data — AnaCredit in Europe, MAS 610 in Singapore, Bank of Thailand granular returns, PCAF v2025 financed emissions, CSRD/ESRS digital tagging.
Aggregated
Annual disclosures rolled up at portfolio or facility level. Defensible until ~2023. No longer sufficient.
Basic granular
Major instruments (loans, large facilities) reported individually with core attributes. Foundational.
Wide granular
Derivatives, securities, and supplier-level data added to the granular base. Most APAC regulators arriving here 2026–28.
Full granular
Every transaction, every meter reading, every emission factor — lineage-tracked, AI-ready, audit-ready.
The reason is the same everywhere: aggregated reports hide risk, and they cannot feed AI. Granular data exposes both. Evercomm is built for the world after the shift.
Three services. One thesis.
Evercomm operates as three coordinated services. The data infrastructure is what we've shipped since 2013. The assurance line and the aligned capital arm grew around it — because the granular shift needs all three working in step, not procured separately from three different vendors.
Granular Data
Granular data infrastructure — Platform · Engine · Services
The Nx-Engine + NXOps / NXMap / NXPlan stack. Granular data infrastructure for banking, industrial, and public-sector compliance. Deployed by SMBC, CTBC, Thai Airways, Mitsubishi Electric, Jurong Port, and others across APAC. Three delivery modes (SaaS, on-prem, managed services). Three deployment sectors.
See Granular Data →Assurance
Assess. Simulate. Verify.
Independent assessment, simulation, and verification for organisations on the granular shift. Strategic assessment, solution simulation, transition roadmap, digital verification, and AI readiness — delivered by Evercomm engineers, regulator-side experts, and standards specialists. The natural front door to Granular Data; most engagements close in 8–12 weeks.
Book an Assurance engagement →Aligned Capital
Aligned Products · Aligned Ventures
Capital structured around the granular-shift transition across APAC — flowing toward resilience, impact, and the technologies that operate after the shift. Two wings under one thesis: Aligned Products co-created with financial institutions, and Aligned Ventures deployed through Evercomm's own investment arm.
Talk to Aligned Capital →Inside Granular Data: the engines that power AI with facts.
Models trained on annualised, aggregated reports don't generalise to operational decisions, and they hallucinate where the data is thin. AI in regulated sectors needs the row beneath the row — every transaction, every meter reading, every loan, every emission factor — timestamped, tagged, lineage-tracked, verifiable to a standard.
The Nx-Engine builds that layer. Every figure Evercomm produces is traceable to a source record. Every regulatory report is a query against the same granular base. Every AI agent on top operates on facts the auditor will also see.
Outcome 1
Compliance becomes a query.
Annual reporting projects collapse into queries against the granular base. New regimes (CBAM, ESRS, MAS 610) ship as rule packs, not as new data pipelines.
Outcome 2
AI compounds instead of stalling.
The data quality problem that kills 80% of enterprise AI pilots stops being a problem. Models, agents, and analyses all run against the same lineage-tracked base.
Outcome 3
Decisions use auditor-grade evidence.
Operations, risk, finance, and sustainability teams stop arguing over which dataset is correct. There's one base. The auditor sees the same numbers the CEO does.
Outcome 4
One foundation, every regime.
PCAF, MAS 610, ISSB, ESRS, CBAM, SBTi — same granular base, different rule packs. Build the data layer once, report against it everywhere.
Sustainability, productivity, and enabling stop being parallel projects — they become outcomes of the same granular base.
Granular Data, in production. Across three sectors.
Banking, industrial, and public sector all sit on the same Nx-Engine foundation. The use cases differ; the data discipline is identical.
Position-level financed emissions. Audit-ready. AI-ready.
PCAF v2025 · MAS 610 · ISSB S2
Building with SMBC as the launch initiative. CTBC in active build for Q3. Partnership with leading APAC SupTech providers going live alongside the ABS granular data reporting initiative.
See the banking platform →One granular base. Every report. Every model.
CSRD · CBAM · ISSB · SBTi · ISO 14064
Thai Airways, Mitsubishi Electric, Jurong Port, KTIS, Punggol. Sensor, meter, and ERP data ingested at source, structured to ISO 14064, and used for both compliance reporting and operational AI.
See the industrial platform →Accountable, AI-ready public reporting.
Launching 2026 · Design partners open
Same granular data infrastructure, adapted for government, healthcare, education, and major NGOs. Data sovereignty, mission-aligned metrics, multi-stakeholder access, funder-grade reporting.
Apply to design partner program →One granular data infrastructure. Three working layers. One engine.
Products are layers of the same infrastructure, not separate tools. The Nx-Engine sits underneath all of them as the granular data engine that powers AI with facts.
| Layer | Product | What it does |
|---|---|---|
| Ingest & structure | NXOps | Connects sensors, meters, ERPs, core banking, custody, supervisory feeds. Outputs granular, ISO-grade, lineage-tracked data. |
| Measure & verify | NXMap | The compliance and financed-emissions inventory. Position-level, audit-ready, multi-standard (PCAF, ISSB, ESRS, GRI, ISO 14064). |
| Simulate & decide | NXPlan | Scenario simulation and reduction-strategy planning on top of granular data. Where AI on operational reality begins. |
Partners. Standards. Recognition.
Operating with named partners, against named standards, against named regulators. Specificity is the proof.
Partners & strategic relationships
Standards we operate to
Recognition
Built in Singapore. Anchored in Asia. Built for the world.
Most granular-data infrastructure is built around European and US regulators. Evercomm is built around APAC's first — MAS, ABS, Bank of Thailand, TGO, JFSA-aligned ISSB adoption, and the China and India CSRD-equivalent waves arriving 2026–2028 — and extends naturally to CSRD, CBAM, and US SEC regimes the same customers also report into.
Since 2013, from Singapore. Now operating across banking, industrial, and public sector.
Granular by default. Verified by design. Sustainable by outcome.
Talk to us.
Whether you need granular data infrastructure, an independent assessment of where your organisation sits on the granular shift, or aligned capital for the transition itself — there's a conversation to have.