Intellectual Property for AI Products: What Indian Founders Can and Can't Patent

Many founders believe their most valuable asset, the AI model or algorithm, can be locked up with a patent. In India, that belief is usually wrong, or at least incomplete. The question "can you patent AI algorithm in India" has a nuanced answer: an algorithm or computer program by itself is excluded from patent protection, but an invention that uses AI to achieve a genuine technical effect may still be patentable. Understanding that distinction helps founders decide where to spend on patents and where other forms of protection make more sense.

This article explains the general principles. Patent eligibility depends heavily on the specific facts and how claims are drafted, so consult a registered patent agent or patent attorney for your own invention.

The patents act software exclusion

Section 3 of the Patents Act, 1970 lists things that are not considered inventions. Clause (k) excludes "a mathematical or business method or a computer programme per se or algorithms". This is the core patents act software exclusion, and it is why a pure algorithm, a mathematical model or a machine-learning technique described in the abstract cannot be patented in India.

The phrase "per se" matters. It has been interpreted to mean that a computer program as such is excluded, but an invention that involves software is not automatically excluded if it offers something more, typically a technical contribution or technical effect.

How Indian courts and the Patent Office read "per se"

The Indian Patent Office publishes guidelines for examining computer-related inventions and has revised them several times. Courts have also shaped the approach. In the Ferid Allani case in 2019, the Delhi High Court observed that inventions based on computer programs may be patentable if they demonstrate a technical effect or technical contribution, and that the "per se" exclusion was meant to prevent patents on computer programs as such, not on genuine inventions that happen to use software.

In practice, patent examiners look at the substance of what is claimed rather than its label. Calling an invention a "system" or adding generic hardware such as a processor or memory does not by itself overcome the exclusion. What matters is whether the claimed invention, taken as a whole, delivers a technical solution to a technical problem.

The practical test, then, is whether your AI-related invention solves a technical problem in a technical way, with a technical effect beyond the normal running of software on a computer.

AI patent eligibility India: what may qualify

Under the current approach to AI patent eligibility India examiners apply, inventions that may qualify often involve AI integrated into a technical system with a measurable technical improvement. Examples include AI processing that improves the functioning of a device, a novel method of processing sensor or imaging data that produces a better technical result, techniques that reduce computational resources or memory use in a specific technical way, or control systems in manufacturing, robotics or vehicles that use AI to achieve a technical outcome.

Like any patent, the invention must also be new, involve an inventive step that is not obvious to a skilled person, and be capable of industrial application.

What typically does not qualify

Several categories usually fail under the software patent India rules. An abstract model architecture or training technique expressed mathematically, a business method implemented with AI, such as a pricing or marketing strategy, and a generic claim that simply applies known AI techniques to a new field without a technical contribution are all likely to face objections. So are claims that amount to "use a machine-learning model to predict X" without describing a technical implementation and effect.

These limits reflect the software patent India rules as currently applied, but outcomes depend on how claims are drafted and argued. Two applications describing similar underlying ideas can fare very differently depending on whether they clearly identify the technical problem, the technical means used to solve it and the resulting technical effect.

Can an AI be named as the inventor?

Indian patent law, like that of most major jurisdictions, is built around human inventors. Attempts internationally to name an AI system as the inventor on patent applications have generally not succeeded. If your team uses AI tools during research, the humans who made the inventive contribution should be named as inventors, and records of their contributions should be kept.

Protecting AI IP India founders can rely on beyond patents

Because patents cover only part of what matters in an AI business, protecting AI IP India founders should consider a mix of tools:

• Copyright: source code is protected as a literary work under the Copyright Act, automatically on creation, though registration can help as evidence.
• Trade secrets: model weights, training data, data-cleaning pipelines, prompts and evaluation methods can be protected by keeping them confidential. India has no dedicated trade secrets statute, so protection relies on contracts, confidentiality agreements, access controls and court remedies for breach of confidence.
• Trademarks: your product and company names, logos and taglines should be registered.
• Contracts and licensing: customer terms can restrict reverse engineering, scraping and misuse of outputs.

Build these protections into daily operations. Limit access to model weights and training data to people who need them, log access, use confidentiality agreements with employees, contractors and partners, and include clear IP and confidentiality clauses in customer and vendor contracts. Courts are more willing to protect confidential information when a company can show it took reasonable steps to keep it secret.

For many AI startups, trade secrets and speed of execution provide more practical protection than patents.

Deciding whether to file a patent

A patent requires public disclosure of how the invention works. If your advantage lies in something competitors cannot easily see or reverse-engineer, such as a proprietary training dataset or internal pipeline, keeping it secret may be better than disclosing it in a patent. If your innovation will be visible in the product and has a clear technical effect, patenting may be worthwhile, especially if investors or acquirers value patent portfolios in your sector.

Consider also where you need protection. Indian patents protect only in India; international protection requires filings in other countries, often through the Patent Cooperation Treaty route.

The filing process in brief

Many startups begin with a provisional patent application, which secures a priority date while giving up to twelve months to file a complete specification. After filing the complete specification and requesting examination, the Patent Office examines the application, issues objections, and the applicant responds. Drafting claims that emphasise technical features and effects is crucial for AI-related inventions, and this is where an experienced patent professional adds the most value.

Budget for the full journey, not just filing. Official fees are only part of the cost; professional drafting, responding to examination objections, possible hearings and annual renewal fees add up over the life of a patent. Plan which inventions truly justify that spend before filing broadly.

Support for startups

Recognised startups can benefit from reduced official fees and the option of expedited examination, as well as government schemes that provide access to patent facilitators. Check the current benefits on the Startup India and Indian Patent Office websites. Our guide to Startup India recognition explains how to become eligible.

Common founder mistakes

Common mistakes include publicly disclosing an invention in a demo, pitch or blog post before filing, which can destroy novelty; assuming the model itself is patentable; spending heavily on patents that do not protect anything competitors care about; and neglecting confidentiality agreements with employees, contractors and partners. Investors often find these gaps during due diligence.

Another mistake is ignoring the patents of others. Before investing heavily in a product, a freedom-to-operate review in key markets can reveal whether existing patents might restrict what you build. This matters especially in hardware-linked AI fields such as medical devices, automotive systems and industrial automation.

So, can you patent AI algorithm in India?

To summarise the answer to "can you patent AI algorithm in India": the algorithm itself, no. An AI-based invention that solves a technical problem and produces a technical effect, possibly yes, if it is also novel and inventive and the claims are drafted carefully. For most AI startups, a combined strategy of selective patents, strong trade-secret practices, copyright, trademarks and sound contracts provides the best protection. Get advice from a patent professional before making public disclosures.

Frequently asked questions

Is software patentable in India?

A computer program per se is excluded, but inventions involving software that demonstrate a technical effect or contribution may be patentable.

Can I patent my machine-learning model?

The model as an abstract algorithm cannot be patented. A specific technical application of it with a technical effect may qualify, depending on the facts.

How else can I protect my AI product?

Through copyright in code, trade-secret practices for models and data, trademarks for your brand, and contracts that restrict misuse.

Should I file a provisional patent application?

A provisional application can secure an early priority date if you have a potentially patentable invention. Consult a patent professional before any public disclosure.