Companies whose own annual reports evidence AI exposure — building or selling AI products, not merely mentioning the trend. The tier says how real it is; the quote under each row is the proof.
AI is referenced as part of Delhivery's general technology investments; no indication that AI is developed or sold as a product or service.
“we have invested in world-class sortation infrastructure, first-in-India vehicular form factors, Grade A fulfilment capabilities, customer software solutions and AI systems.”
ABSLAMC describes using AI/ML internally to support its asset management operations (investment research, risk, customer servicing), but AI is not a product, platform or revenue line it sells to others.
“Beyond apps, we are increasingly leveraging artificial intelligence and machine learning across the organisation for strengthening investment research and portfolio analytics, enhancing risk management, improving operational efficiency and enabling more data-driven, personalised servicing at scale.”
AI is discussed aspirationally in the CMD's statement and referenced as an operational tool (wearable AI Early Warning Systems, AI-enabled holographic breast health education, AI Augmented Reality brain surgery, DRISTI AI glasses for the visually impaired via KFRC), but it is not a commercial business line — only a supporting capability within the hospital chain.
“We need to urgently reflect on how AI is to be integrated into Medicine with responsibility and care. The emphasis will remain on ethics, patient privacy and safety.”
AI/intelligent automation is referenced as a future trend the company is positioned for, but HAIL is described as a system integrator deploying Honeywell's solutions rather than developing/selling AI products of its own.
“the companies focus on key mega trends of Automation, Digitalization and Sustainability”
Jubilant describes AI as increasingly embedded in their QSR customer experience, restaurant operations and decision-making, but AI is not a product or service — it is supporting language for their food-service platform.
“Artificial intelligence, advanced analytics and automation are becoming increasingly embedded across customer experience, restaurant operations and decision-making processes.”
Neuland describes applying AI for internal R&D productivity (route-of-synthesis design, RFP engine, document review) but does not sell or offer AI as a product/service.
“we are applying AI in selected R&D areas, including route-of-synthesis design and validation”
“We are evaluating AI-led interventions where they can create meaningful value. Current focus areas include route-of-synthesis design, validation of development approaches, analytics and automation of sampling and analysis.”
AI is referenced only as part of the Chairman's forward-looking vision for emerging technologies, with no operational AI business or revenue disclosed.
“The vision also emphasizes meeting sustainable energy targets through the integration of Artificial Intelligence (AI), along with the adoption of other new and emerging technologies such as: EV integration into the grid, cybersecurity and digital protection, green hydrogen, bioenergy and energy storage.”
AI is referenced only as generic macro-economic commentary about global productivity upside, with no indication of any operational, product or service exposure by the company.
“While advances in digitalization and artificial intelligence‑driven productivity remain a potential source of upside, elevated uncertainty and reduced international policy coordination continue to pose meaningful downside risks to the medium‑term global economic outlook.”
Pfizer's AI use is purely internal (HR chatbots, talent marketplace, policy access, legal analytics) and not sold as a product or service, so it is aspirational/internal-tooling rather than an AI business.
“Pfizer continues to expand adoption of Artificial Intelligence (AI) across functions, including accelerated deployment of approved generative AI solutions in India during the year.”
AI is discussed only as an industry-wide trend reshaping pharmaceutical R&D and commercialisation, not as a stated business line or operational deployment by Alivus.
“AI and Digital Acceleration: Artificial intelligence is streamlining drug discovery, clinical trials, and commercialisation, making pipelines more efficient and shortening time-to-market”
AI-driven solutions are referenced as part of EIL's aspirational sustainability/technology outlook, with no specific AI product or revenue.
“Our current focus includes pioneering technologies like green hydrogen, advanced biofuels, AI-driven solutions and carbon-conscious designs.”
Bank deploys AI-driven analytics internally (recognized with an industry award) but does not develop or sell AI as a business line.
“J&K Bank shines at Finacle Innovation Awards 2026, wins Gold for AI-driven Analytics - 2026”
AI is referenced only as an industry-level growth driver for the global biotechnology sector; Concord does not develop, sell or deploy AI products or services.
“This growth is being fuelled by breakthroughs in genetic engineering, bio-pharmaceuticals, synthetic biology, and AI-assisted drug discovery.”
The company describes integrating AI/ML into its R&D processes as a strategic trend, but this is aspirational language rather than a product or service line.
“Embracing global trends, we are integrating artificial intelligence and machine learning into our R&D, accelerating innovation, reducing costs, and enhancing precision in developing novel compounds.”
AI is referenced only as a future-facing operational lever in the strategic outlook, with no concrete AI products, platforms or services described.
“Harness automation, AI and digitalisation for efficiency”
The company mentions having implemented AI internally in its systems with employee training, but no specific AI product, platform, or service line is described.
“Company has already implemented Artificial Intelligence (AI) in its system and trainings are imparted to employees on a regular basis for responsible use of AI.”
UTI AMC mentions AI as part of its technology evaluation and has launched an internal AI-powered contact centre (VAANI) and AI literacy training, but does not sell AI products or services as a business line.
“We are also sharpening our evaluation of technology-led shifts, including artificial intelligence, where competitive advantage can change meaningfully as adoption scales.”
AAVAS discusses AI as a future capability for underwriting, fraud detection, collections and servicing within its housing finance operations, framed as outlook/philosophy rather than a current revenue-generating product line.
“We see real potential for AI in underwriting, fraud detection, collections and servicing, and we hold one line without exception: a model may recommend, a person remains responsible.”
IEX references AI (alongside blockchain, storage, smart grids) as part of an aspirational convergence of technologies, with no deployed AI/ML product or revenue mentioned.
“The integration of renewable energy sources, smart grid technologies, advanced energy storage systems, artificial intelligence (AI) and blockchain is set to unlock a new era of innovative products and services.”
Vision 2047 lists becoming 'digital and AI-first' and embedding AI across plants and processes as a strategic pillar — aspirational language about own operations, not an AI product/service business.
“BECOME DIGITAL AND AI-FIRST Embed data, digital and AI across plants, processes and decisions.”
AI is referenced only as an aspirational/feature element integrated into smart metering products, not as a standalone business or revenue driver.
“By integrating AI and IoT, we unlock predictive maintenance, optimise grid performance and accelerate the shift to smart infrastructure.”
AI is referenced only as a future learning topic for board members, not as an operational business activity.
“The Board identified the need to conduct focused learning sessions on pivotal topics like AI and Generative AI, digital twin, ESG and sustainability trends, to strengthen informed decision-making.”
Artificial intelligence is referenced only as part of macro/global economic commentary about investment trends and productivity risks, with no operational deployment by the jewellery retailer.
“rising investments in artificial intelligence and advanced technologies”
Company cites AI as an industry demand driver increasing demand for refurbished high-end computers, but does not itself develop, sell or deploy AI/ML models or AI-driven products.
“I would like to touch upon the AI-related shifts in the industry. AI is becoming increasingly integral to the way enterprises, governments, students and consumers work and learn, further strengthening the importance of access to affordable and reliable computing.”
AI is referenced only as an aspirational strategic enabler and outlook priority across the Group, with internal deployment in analytics, automation and decision-making rather than as a developed/sold product line.
“Across the Group, Artificial Intelligence, automation and data analytics are increasingly being deployed to improve project planning, customer servicing, compliance, risk management and operational decision-making.”
AI modules are listed as one of several offerings under the Industrial Projects segment, but no specific AI revenue, named projects or products are disclosed in the text.
“Offerings include integrated IIoT platforms, AI modules, operation and maintenance services, retrofits, and spares.”
AI is referenced only within global macroeconomic commentary in the MDA; DBL does not describe AI/ML as part of its own operations or offerings.
“According to the International Monetary Fund (IMF), global output expanded by approximately 3.4%, supported by resilient labour markets, moderating inflation, improving financial conditions and sustained investment in technology, artificial intelligence and digital infrastructure.”
AI is referenced only as a future aspiration for internal HR processes, not as a product, platform or commercial offering.
“We will also explore the adoption of artificial intelligence (AI) across our HR processes to improve efficiency and decision-making.”
Company is developing AI-enabled platforms for monitoring and optimization within its water treatment operations, but this appears as an emerging technology with no indication of material revenue yet.
“AI-enabled platforms for monitoring, optimization, predictive analytics and intelligent plant operations.”
AI is referenced only as industry-level context in the CMD's message describing how technology is reshaping pharma; FDC does not develop, sell or deploy AI/ML products as a business line.
“Artificial intelligence, digital health, data analytics and smart manufacturing are transforming the way medicines are discovered, developed and delivered, opening new possibilities to improve patient outcomes and expand access to quality healthcare.”
“Emerging technologies like artificial intelligence, machine learning, and precision medicine are not just buzzwords; they are poised to revolutionize drug discovery, manufacturing, and patient care.”
AI is referenced solely as a macro risk to IT-sector employment and, by extension, to urban housing demand — not as any business activity of the company.
“the pace of artificial intelligence adoption raises legitimate questions about white-collar job creation in the information technology sector, which is a significant driver of urban housing demand in several markets.”
AI is mentioned only as an aspirational opportunity across planning, design, customer engagement, sales and operations, with no current deployment, products or revenue.
“Artificial Intelligence has the potential to improve how businesses analyse information, understand customers and make decisions. We see an opportunity to progressively use AI across planning, design, customer engagement, sales and operations, helping our teams work with greater speed, insight and efficiency.”
AI tools have been integrated into internal R&D processes for product standardisation; AI is not a product or service sold externally.
“The Company has integrated the AI tools in R&D process to maintain standardisation across its products.”
AI is referenced as a global investment trend and embedded in drone solutions, but is not a principal standalone business of the company.
“Artificial Intelligence (AI), cloud computing, semiconductor manufacturing and digital infrastructure emerged as key drivers of global capital expenditure.”
Borosil uses AI internally for manufacturing (spare-parts identification, CCTV analytics, predictive maintenance) and via its 'Borosil IQ' enterprise platform, but explicitly describes this as an early-stage internal initiative, not an AI product or service business.
“While our AI journey is still in its early stages, we view these capabilities as important building blocks in designing a more connected, innovative and future-ready Borosil.”
AI is mentioned only as one of India's macro emerging sectors in the MD&A outlook — no company-level AI exposure.
“Looking ahead, India's next phase of economic evolution is expected to be driven by emerging sectors including artificial intelligence, digital public infrastructure, green hydrogen, semiconductors, and advanced manufacturing, supported by targeted policy frameworks and growing private sector engagement.”
AI is used internally in engineering and project management workflows; Interarch does not sell or deploy AI products or services externally.
“our rollout of SAP S/4HANA and a growing use of AI in engineering and project management are knitting the business together digitally.”
“We build on this with digital integration, including SAP S/4HANA-enabled real-time project analytics and ongoing exploration of AI-driven coordination tools to improve planning, visibility, and execution.”
UFBL briefly notes operational use of AI/data intelligence for booking optimisation and cancellation reduction within its restaurant business, but this is a minor internal tool, not a product or business line.
“We use AI and Data Intelligence to optimise bookings and minimise cancellations.”
Chairman refers to AI, IoT and automation as industry-wide trends reshaping factory floors; the company does not develop or sell AI as a product/service.
“Technologies such as AI, IoT, and automation are reshaping factory floors making operations smarter, leaner, and more sustainable.”
AI-driven credit scoring is mentioned only as forward-looking/aspirational language in the Outlook section, with no current revenue or operational deployment described.
“Technological Integration: The adoption of AI-driven credit scoring and digital platforms will enhance our ability to assess and serve a broader customer base, particularly in underserved segments.”
Definition used: Develops, sells or operationally deploys AI/ML models, platforms or AI-driven products and services. Generic "digital transformation" or aspirational AI language does NOT qualify. Membership is extracted from each company’s newest annual report; every quote is validated against the report page before publishing, and core/growing tiers are confirmed by a second independent read (marked ). Companies whose reports our corpus hasn’t read yet simply aren’t listed — absence means unread, not “no exposure”.
MarketPing publishes facts, filings and measured history only — nothing on this page is investment advice, a recommendation or a rating.
