AIR APACAI Readiness Index · Powered by Exeter Labs
Mongolia is early, and vocal on AI.
AI and digital evidence is the signal its own record leans on hardest.
Download the dossierPDF · 20 pages · 4.8 MBExecutive summary
Intent, stated early
Readiness 29 of 100, range 28-30. Visibility 35.9 of 100 across 52 scored companies.
A low score here reflects the public record, not a company’s capability. Mongolia is among the signal leaders: of the five signals the index reads, its record leans hardest on AI and digital evidence and thinnest on platform and data footprint. The conditions companies here operate under score 29, and what those companies publish scores 35.9. Of the two, the second is the one companies here control, and the quicker to change: 86% of the 52 companies with enough of a public trail to score publish no proof of capability at all.
Companies in Mongolia are stating AI intent before the platform beneath it is built. Seven already publish proof of capability, averaging 60 of 100.
Source: AIR APAC AI Readiness Index, APAC 5000, Q2 2026. Scores measure public evidence, not verified capability.
4 companies in Mongolia reach the published APAC top 1,000.
48 of 52 are scored already, next in line for the published list.
Why visibility is the asset
Invisible is not the same as absent
Buyers, investors and partners treat it that way. Most decisions about a company are shaped before anyone is contacted, from what they can find. The record is the only version of it most people ever meet. and here most of the market has not written one yet, which makes a first published page the cheapest move available to it. In Mongolia, 80 of 137 companies screened leave too little behind to assess, which is the addressable group rather than the verdict.
Capital and customers screen before they call
Investors, corporate buyers and procurement teams build a shortlist from public material long before a meeting exists. A company absent from that material is not rejected on the merits. It never reaches the shortlist.
Partners and talent read the same record
Prospective partners, joint-venture counterparties and senior candidates all check what an organisation says about its own AI work. Silence is read as inactivity, which is often wrong and rarely without cost.
AI assistants now answer the question first
When someone asks an AI system what a company is doing with AI, the answer is assembled from public sources. A company that publishes nothing cedes its own description to whatever else the model finds.
Most companies we look at are doing more with AI than their customers, investors and partners can see. The work is real, the evidence of it is thin, and people decide on the evidence.Indhran SegharFounding Director, AIR APAC
Source: AIR APAC AI Readiness Index, APAC 5000, Q2 2026. Scores measure public evidence, not verified capability.
Source: AIR APAC AI Readiness Index, APAC 5000, Q2 2026. Scores measure public evidence, not verified capability.
Where the signal is strong
Mongolia’s strongest and weakest public signals
The five signals are not on one scale. Nearly every company in the index is discoverable and nearly none publishes proof of what it can do, so the longest bar below is a property of the index before it is a property of Mongolia. Read against its own other four signals, this record leans hardest on AI and digital evidence and thinnest on platform and data footprint. The first is where companies here have already shown they can publish; the second is where the same effort has not yet gone, and it is the clearest place to start.
Source: AIR APAC AI Readiness Index, APAC 5000, Q2 2026. Scores measure public evidence, not verified capability.
Source: AIR APAC AI Readiness Index, APAC 5000, Q2 2026. Scores measure public evidence, not verified capability.
The lean is AI and digital evidence. 7 companies in Mongolia publish capability evidence, averaging 60 and well clear of the market. It works where it exists. The other 86% have yet to publish it, against 83% regionally.
Work published only in Mongolia’s own language is understated here, not absent.
Four tiers of visibility
Four tiers, and where companies in Mongolia sit
A tier is a position in the published regional ranking, not a grade anyone awards. It says how much of a company’s AI work a buyer or an investor can verify, and nothing at all about whether that work is any good.
| Tier | Mongolia | What it means |
|---|---|---|
| Tier 1Proven | 0 | Region rank 1-100. Publishing enough, recently enough, and across enough of the five signals that the public record alone establishes an AI position. |
| Tier 2Building | 2 | Region rank 101-400. A consistent public trail, usually strong on two or three signals and thin on evidence of hiring. |
| Tier 3Findable | 2 | Region rank 401-1,000. Credibly active and possible to verify, but sparse enough that it takes a deliberate search to find. |
| Tier 4Emerging | 48 | Ranked beyond 1,000. Clears the evidence threshold but does not reach the published list. Real companies, scored and unlisted, and the largest group in almost every market. |
0 of the 52 companies in Mongolia that clear the threshold reach tier 1, and 48 are emerging, 92% of those scored. Emerging is the normal state of the region, and the group standing closest to the tier above.
Moving up a tier is a disclosure decision, not a technology one, because every signal this index reads is something a company already controls.
Source: AIR APAC AI Readiness Index, APAC 5000, Q2 2026. Scores measure public evidence, not verified capability.
Source: AIR APAC AI Readiness Index, APAC 5000, Q2 2026. Scores measure public evidence, not verified capability.
Source: AIR APAC AI Readiness Index, APAC 5000, Q2 2026. Scores measure public evidence, not verified capability.
Source: AIR APAC AI Readiness Pulse, Q2 2026. CERS is a market-level signal, not a company readiness score. View sources.
Market context
Macro, state, and enterprise benchmarks for Mongolia.
| Benchmark | Value | Role |
|---|---|---|
| Country Readiness Prior (CRP v0.1) | 45.1 | Macro and state readiness prior |
| CRP v0.2 (three-block) | not built | Full triangulated prior |
| Oxford Government AI Readiness 2024 | 42.4 | Macro input to CRP |
| IMF AI Preparedness Index 2023 | 48.4 | Macro input to CRP |
Source: AIR APAC AI Readiness Index, APAC 5000, Q2 2026. Scores measure public evidence, not verified capability.
Mongolia has macro and state readiness context only; no market-level enterprise-adoption benchmark is populated. Read the CERS and CRP as directional context, not a validated enterprise-readiness measure.
Public company signal
What the indexed companies in Mongolia show.
| Signal | Value |
|---|---|
| Mean raw RPS visibility | 35.9 |
| Sector-stratified signal | 34.0 |
| Supplier-readiness signal | 33.8 |
| Domestic-adopter signal | 32.6 |
Top organisations
The highest public-signal organisations in Mongolia.
| Rank | Organisation | Sector | RPS | Evidence |
|---|---|---|---|---|
| 175 | Golomt Bank | Financial Services | 62.0 | B |
| 185 | Khan Bank | Financial Services | 62.0 | A |
| 565 | HData Systems | Professional Services | 54.0 | B |
| 678 | Moncement Building Materials LLC | Manufacturing | 53.0 | B |
Ranked by raw public signal (RPS), a visibility measure. Open any organisation for its evidence profile.
Limits and what this is not
What this report does not claim
Printed with the findings rather than in an appendix at the back.
Known blind spots in this market
Mongolia carries 3 this cycle: small sample size for this market; evidence is gathered from English-language search, likely undercounting local-language activity; no enterprise-adoption benchmark source for this market. Each is a direction we know the number leans in. The country evidence behind the readiness score is graded C on source coverage of macro=1, enterprise=0.
A high score means published, not proven
A high visibility score means a company publishes a lot that can be found about its AI work. It does not mean the work is good, in production, or making money. A company here running serious AI quietly will score low here, and it should: this index reads the public record and nothing else.
What would change these numbers
Three things, all scheduled and all documented on page 21. Fuller source coverage per market, which is what currently sets the width of every readiness range. Validating the coverage weighting behind those ranges, which is a stopgap in this edition. And merging companies that operate several web domains, so one group cannot appear twice. Nothing here was audited inside a company, and no verified-readiness score is published this cycle. Next edition: Q3 2026.
What to do with a visibility score
A visibility score is something a company here can move, because every signal behind it is something it already controls. Three steps separate it from a record that shows what it is actually doing.
Start with the company’s own row
Every scored company in Mongolia appears in the dataset with its five signal scores and an evidence grade. A grade C or D row is usually a company that has not said much, not a company that has not done much.
Then measure what this cannot see
This index reads the outside only. Leadership alignment, governance, data quality and workforce capability are invisible to it by design, and that is where the real answer sits.
Correct the record on purpose
Proof of capability is the region’s weakest signal, because companies announce intent faster than they show work. Job posts, named leads and dated case studies move the score honestly.
None of this requires a new AI programme. It requires publishing the one that already exists.
The full Mongolia dossier, as published.
4 of the 52 ranked companies in Mongolia reach the published APAC top 1,000.
Macau has no benchmark block and is reported as contextual. The dossier counts companies on a wider definition than this page does and the two reconcile: how the company counts fit together.