AI & SaaS in India
AI & SaaS Company Registration in India: A Guide for Global Software Companies
AI and SaaS companies are among the most active foreign entrants setting up in India right now — drawn by deep AI, ML and software engineering talent, and increasingly by India itself as a market for their product. The incorporation route is the same one any foreign company uses; what is genuinely different is the compliance layer specific to software and data. This guide covers both.
Quick answer
Do we need a different company structure for an AI or SaaS business in India?
No — the underlying vehicle, a private limited company as a wholly owned subsidiary, is the same one most foreign businesses use regardless of sector. What differs is the compliance layer: GST on SaaS revenue (18% under the OIDAR category for sales to Indian customers, or zero-rated if you export services back to your foreign parent as a Global Capability Centre), and obligations under India's Digital Personal Data Protection Act if you process personal data.
Why AI and SaaS companies are choosing India
India has become the default location for what the industry calls a Global Capability Centre (GCC) — a dedicated subsidiary built to deliver engineering, AI/ML research, data science or product development back to a foreign parent, rather than to sell locally. The scale of this shift is significant: a large and growing share of global technology companies now operate some form of GCC in India specifically for access to AI and software engineering talent at a depth few other markets can match. Alongside the GCC model, a second and increasingly common path is a genuine go-to-market entity — an Indian subsidiary that sells your SaaS or AI product directly to Indian businesses and consumers, taking advantage of India's own fast-growing enterprise software and AI adoption.
GCC or go-to-market: choosing the right structure
Both models typically use the same underlying vehicle — a wholly owned subsidiary, a private limited company under Indian law — but the distinction matters for how you structure revenue and GST. A GCC that only delivers services back to its parent generally invoices the parent for those services, which qualifies as a zero-rated export under a Letter of Undertaking (LUT), with no GST charged. A go-to-market entity selling to Indian customers instead charges GST on its sales, since most SaaS falls under India's OIDAR (Online Information Database Access and Retrieval) category, taxed at the standard 18% rate. Some companies run both in parallel — an engineering-focused GCC alongside a separate commercial motion — which is a structuring decision worth making deliberately rather than defaulting into.
Data protection: the DPDP Act and what it means for an AI or SaaS product
If your product processes the personal data of individuals in India — true of most consumer or B2B SaaS and AI products handling user, customer or training data — the Digital Personal Data Protection Act, 2023 applies. Its Rules were notified on 13 November 2025, with a phased 18-month implementation timeline running through 2026, covering consent and notice requirements, breach reporting, and data-security obligations, backed by penalties of up to ₹250 crore for a Data Fiduciary that fails to maintain reasonable security safeguards. For an AI company specifically — where training data, model outputs and user data can all raise separate questions — it is worth building data-handling practices into your India entity's operations from incorporation rather than retrofitting compliance once you are already live.
Entry structures and the standard incorporation process
Most AI and SaaS companies choose a wholly owned subsidiary, since it supports both the GCC and go-to-market models, gives full operational control, and can hire, contract and invoice directly. Incorporation follows the same core sequence as any foreign-owned Indian company — DSC and DIN issuance, name reservation, apostilled director and shareholder documents, and SPICe+ filing — covered in full in our step-by-step incorporation guide. As with any foreign-owned subsidiary, at least one India-resident director is required under Section 149(3) of the Companies Act — see our resident director requirement guide — and the FLA Return and, where applicable, transfer pricing documentation for transactions with your parent apply on an annual basis; see our FLA Return and transfer pricing guide.
FAQs: AI and SaaS company registration in India
Do we need a different company structure for an AI or SaaS business than any other company? No — the underlying incorporation vehicle, a private limited company (wholly owned subsidiary), is the same one most foreign businesses use in India regardless of sector. What differs for AI and SaaS specifically is the compliance layer on top: how GST applies to your product, and your obligations under India’s data protection law if you process personal data.
How does GST apply to a SaaS product sold from an Indian subsidiary? Most SaaS falls under India’s OIDAR (Online Information Database Access and Retrieval) category, taxed at the standard 18% GST rate on sales to Indian customers. If your Indian entity instead exports services back to its foreign parent or group companies — the typical Global Capability Centre model — that revenue is generally a zero-rated export under a Letter of Undertaking (LUT), meaning no GST is charged, though the distinction matters and is worth structuring correctly from the outset.
What is a Global Capability Centre, and is it relevant to us? A Global Capability Centre (GCC) is an Indian subsidiary set up primarily to deliver engineering, R&D, data science or support functions back to its parent company, rather than to sell directly into the Indian market. It has become the dominant model for foreign technology companies expanding into India — a large and growing share of global software and AI companies now run some form of GCC in India for the access to specialised AI, ML and software engineering talent at scale.
Does India’s new data protection law affect our AI or SaaS product? If your product processes personal data of individuals in India — which most consumer or B2B SaaS products handling user or customer data will — the Digital Personal Data Protection Act, 2023 applies, with its Rules notified in November 2025 and a phased implementation running through 2026. It sets out consent, notice, breach-reporting and data-security obligations, with penalties of up to ₹250 crore for failing to maintain reasonable security safeguards. Building this into your India entity’s compliance from day one is far simpler than retrofitting it later.
Do we need to travel to India to set up an AI or SaaS subsidiary? No — incorporation can be completed entirely remotely, with your director and shareholder documents apostilled or legalised in your home country and the filing handled by your India-based team.
How much does it cost to register an AI or SaaS company in India? The MCA government filing fee for the SPICe+ incorporation form itself is nil for authorised capital up to ₹15 lakh, under Schedule I of the Companies (Registration Offices and Fees) Rules, 2014 — which covers most subsidiaries and startups outright. What you actually pay is state stamp duty, which varies by which Indian state you register your office in, plus apostille/legalisation and professional fees. We quote a fixed total once we know your structure and registered office state.
Explore further
If you are an Indian founder building an AI or SaaS company from scratch, rather than a foreign company setting up a subsidiary, see our dedicated guide to registering an AI or SaaS startup in India.
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