AIR APACAI Readiness Index · Powered by Exeter Labs

INDIAQ2 2026

India publishes at depth.

127 of 252 ranked companies reach the published APAC top 1,000.

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Executive summary

Deep, and well sourced

Readiness 52 of 100, range 49-54. Visibility 47.8 of 100 across 252 scored companies.

A low score here reflects the public record, not a company’s capability. India is among the platform builders: of the five signals the index reads, its record leans hardest on platform and data footprint and thinnest on freshness and authority. The conditions companies here operate under score 52, and what those companies publish scores 47.8. Of the two, the second is the one companies here control, and the quicker to change: 81% of the 252 companies with enough of a public trail to score publish no proof of capability at all.

49 companies in India publish proof of capability, averaging 64 of 100, and only 6.7% of the ranked set rests on the weakest evidence grade.

Exhibit 1. Tier mix in this market
Tier mix in IndiaEmerging 125, Findable 62, Building 46, Proven 19, of 252 listed companies in India. 2026-08-02T21:45:09.382650 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/

Source: AIR APAC AI Readiness Index, APAC 5000, Q2 2026. Scores measure public evidence, not verified capability.

127 companies in India reach the published APAC top 1,000.

125 of 252 are scored already, next in line for the published list.

52Readiness score for India. Range 49-54.
47.8Average visibility score across 252 scored companies. Public evidence only.
127Companies here that reach the published APAC top 1,000, of 252 scored.

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 already leaves one, which moves the question from whether a record exists to what it says about capability. In India, 68 of 324 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
Proof concentration in India
Proof concentration in India49 of 252 ranked companies publish capability evidence, averaging 64 of 100. 81% publish none yet. 2026-08-02T21:45:09.439824 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/

Source: AIR APAC AI Readiness Index, APAC 5000, Q2 2026. Scores measure public evidence, not verified capability.

Evidence quality mix in India
Evidence quality mix in IndiaShare of ranked companies in this market on each evidence grade A to D. 2026-08-02T21:45:09.448371 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/

Source: AIR APAC AI Readiness Index, APAC 5000, Q2 2026. Scores measure public evidence, not verified capability.

127Companies here reach the published APAC top 1,000.
79%Of 252 scored rest on grade A or B evidence.
125Scored already, and next in line for the published list.

Where the signal is strong

India’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 India. Read against its own other four signals, this record leans hardest on platform and data footprint and thinnest on freshness and authority. 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.

Exhibit 2. Average score by signal in this market
Average score by signal in IndiaDiscoverability: 68.3 of 100. AI & Digital Evidence: 53.0 of 100. Platform & Data Footprint: 46.9 of 100. Freshness & Authority: 46.1 of 100. Capability Visibility: 12.5 of 100. 2026-08-02T21:45:09.395154 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/

Source: AIR APAC AI Readiness Index, APAC 5000, Q2 2026. Scores measure public evidence, not verified capability.

Signal shape, India’s five signals
Signal shape, India's five dimensionsDiscoverability: 68 of 100. AI & Digital Evidence: 53 of 100. Platform & Data Footprint: 47 of 100. Freshness & Authority: 46 of 100. Capability Visibility: 12 of 100. 2026-08-02T21:45:09.426943 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/

Source: AIR APAC AI Readiness Index, APAC 5000, Q2 2026. Scores measure public evidence, not verified capability.

The lean is platform and data footprint. 49 companies in India publish capability evidence, averaging 64 and well clear of the market. It works where it exists. The other 81% have yet to publish it, against 83% regionally.

Work published only in India’s own language is understated here, not absent.

Four tiers of visibility

Four tiers, and where companies in India 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.

TierIndiaWhat it means
Tier 1Proven19Region rank 1-100. Publishing enough, recently enough, and across enough of the five signals that the public record alone establishes an AI position.
Tier 2Building46Region rank 101-400. A consistent public trail, usually strong on two or three signals and thin on evidence of hiring.
Tier 3Findable62Region rank 401-1,000. Credibly active and possible to verify, but sparse enough that it takes a deliberate search to find.
Tier 4Emerging125Ranked 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.

19 of the 252 companies in India that clear the threshold reach tier 1, and 125 are emerging, 50% 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.

The visibility ladder in India
The visibility ladder in IndiaScreened 324, scored 256, listed 252, published 127. 2026-08-02T21:45:09.459121 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/

Source: AIR APAC AI Readiness Index, APAC 5000, Q2 2026. Scores measure public evidence, not verified capability.

Sector strengths in India
Sector strengths in IndiaProfessional Services: 44 companies, mean 54.0. Tech/Fintech: 51 companies, mean 50.0. Manufacturing: 44 companies, mean 49.3. Financial Services: 50 companies, mean 48.0. Logistics/Supply Chain: 29 companies, mean 45.9. 2026-08-02T21:45:09.471688 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/

Source: AIR APAC AI Readiness Index, APAC 5000, Q2 2026. Scores measure public evidence, not verified capability.

National champions in India, top ten by visibility
National champions in India, top ten by visibilityBosch India 86. Aditya Birla Capital 79. State Bank of India 73. Grant Thornton Bharat 70. Infosys 70. L&T Technology Services 70. OrangeMantra 70. Tanla Platforms 70. Tech Mahindra 70. Wipro 70. 2026-08-02T21:45:09.492564 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/

Source: AIR APAC AI Readiness Index, APAC 5000, Q2 2026. Scores measure public evidence, not verified capability.

52CERS (0 to 100)triangulated market signal
49-54CERS band
BConfidence grade
240Domestic signal entities
47.8Mean raw RPScompany visibility

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 India.

BenchmarkValueRole
Country Readiness Prior (CRP v0.1)56.7Macro and state readiness prior
CRP v0.2 (three-block)58.9Full triangulated prior
Oxford Government AI Readiness 202462.8Macro input to CRP
IMF AI Preparedness Index 202349.3Macro input to CRP
Enterprise adoption (Salesforce 2023)42.2%Business AI adoption block
Exhibit 3. India's readiness score and published range
India's readiness score and published rangeIndia 52, range 49-54. 2026-08-02T21:45:09.414295 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/

Source: AIR APAC AI Readiness Index, APAC 5000, Q2 2026. Scores measure public evidence, not verified capability.

India carries the enterprise-adoption block. CERS triangulates the macro prior, public company signal, and enterprise adoption with a coverage-based shrinkage; the precise integer is indicative, so a band is also published.

Public company signal

What the indexed companies in India show.

SignalValue
Mean raw RPS visibility47.8
Sector-stratified signal46.8
Supplier-readiness signal50.5
Domestic-adopter signal50.7

Top organisations

The highest public-signal organisations in India.

RankOrganisationSectorRPSEvidence
1Bosch IndiaManufacturing86.0B
2Aditya Birla CapitalFinancial Services79.0B
12State Bank of IndiaFinancial Services73.0B
30Grant Thornton BharatProfessional Services70.0B
31InfosysProfessional Services70.0B
32L&T Technology ServicesTech/Fintech70.0B
34OrangeMantraProfessional Services70.0B
37Tanla PlatformsTech/Fintech70.0B
38Tech MahindraProfessional Services70.0A
39WiproProfessional Services70.0B
42ITC LimitedManufacturing69.0A
55Tata MotorsManufacturing68.0B
57BirlasoftProfessional Services67.0B
58DataToBizProfessional Services67.0B
63Aurionpro SolutionsTech/Fintech66.0B
71ICICI BankFinancial Services66.0A
79Sparx IT SolutionsProfessional Services66.0B
95Info Edge (India)Tech/Fintech65.0B
96KPIT TechnologiesTech/Fintech65.0A
102Nextbillion AIProfessional Services65.0B

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

India carries 2 this cycle: evidence is gathered from English-language search, likely undercounting local-language activity; below the full three-source-block coverage standard. Each is a direction we know the number leans in. The country evidence behind the readiness score is graded B on source coverage of macro=1, enterprise=1.

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.

english_web_undercoveragebelow_full_crp_v02_coverage

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 India 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 India dossier, as published.

127 of the 252 ranked companies in India 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.

Assess readiness