Quanfluence, a Bengaluru-based quantum computing start-up incubated at IIT Madras, has raised $10 million (about ₹92 crore) to build what it describes as a full-stack photonic quantum computer, a machine that uses particles of light rather than supercooled circuits to perform calculations.
The round, announced on 7 October, was led by Chiratae Ventures, with participation from Rainmatter, the investment arm of brokerage Zerodha, and existing backer Pi Ventures. It is one of the larger early-stage cheques written into Indian quantum hardware and arrives as the government's National Quantum Mission begins to pull start-ups, research labs and state-backed hubs into a common effort.
The company plans to spend the money bringing together the three layers it is building in-house: indigenously designed photonic chips, the control electronics that run them, and the software that lets users program the system. It is targeting its first early processors by 2027, followed by larger and more scalable machines by 2029.
Selling a quantum-inspired machine while building the real one
Quanfluence was founded in 2021 by Sujoy Chakravarty, Ravi Mehta, Biman Chattopadhyay, Aditi Vaidya, Anil Prabhakar and Sandeep Goyal. Unlike many deep-tech peers that spend years without revenue, the company has already put a product in customers' hands.
That product is an optical Ising machine, a quantum-inspired system that uses light waves as its computational units. It is built for optimisation problems, the class of task in which a business must find the best answer among an enormous number of combinations, such as routing a delivery fleet, balancing a power grid or allocating capital across a portfolio. The machine can process hundreds of interconnected variables at the same time, and the company claims it is up to 100 times faster than traditional optimisation methods.
Chakravarty told Inc42 that Quanfluence has commercialised the Ising machine in two ways: it sells physical systems outright and offers remote access on a usage-based model. The start-up has sold around three machines so far and is running paid pilots with 10 to 15 corporations.
That revenue line matters. A universal quantum computer, capable of running any quantum algorithm, remains a long-horizon engineering programme. A commercial optimisation product gives the company customers, feedback and some income while the harder machine is built, a model that investors in capital-hungry hardware increasingly prefer.
Ising machines take their name from a model in statistical physics that describes how magnetic spins settle into their lowest-energy arrangement. Many real-world business problems can be translated into the same mathematical form, so a machine that finds low-energy states quickly can, in effect, search for good solutions to scheduling, logistics or portfolio questions. Such systems do not deliver the full power of a universal quantum computer, but they can be useful today for problems where conventional solvers slow down as the number of variables grows.
For corporate buyers, the attraction is practical. A bank, manufacturer or logistics operator can test whether the machine improves on its existing optimisation software without committing to a long research partnership, and Quanfluence gains real workloads against which to benchmark and refine its hardware.

Why light, and why now
Quantum computers are being pursued through several competing physical approaches. Superconducting qubits, favoured by IBM and Google, must be cooled to temperatures colder than deep space. Trapped-ion systems hold individual atoms in electromagnetic fields. Photonic systems, the route chosen by Quanfluence and by international players such as PsiQuantum and Xanadu, encode information in photons travelling through chips.



