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Bengaluru deep-tech pairing a no-code AI development platform with quantum computing
QpiAI is a genuinely ambitious Indian deep-tech company, and its no-code AutoML platform (QpiAI Pro) is the part most relevant to developers and technical domain experts. It is not a lightweight coding assistant; it is an enterprise model-development and MLOps platform, so evaluate it against tools like Vertex AI or DataRobot rather than an IDE copilot. Much of the company's public attention centers on its separate quantum-computing program, which can make it hard to assess the AI platform's maturity in isolation. Pricing is not published, so expect a sales-led process. Vendor and press figures on qubit counts, valuation, and capabilities are claims tied to a fast-moving roadmap, so verify current specifics directly.
QpiAI is a Bengaluru deep-tech company spanning enterprise AI and quantum computing. Its QpiAI Pro platform offers no-code AutoML and MLOps: auto-annotation, model training, validation, deployment, and monitoring for images, video, text, and geospatial data, aimed at domain experts rather than ML specialists.
QpiAI is an Indian deep-tech company headquartered in Bengaluru that works across two ambitious fronts: enterprise AI model development and full-stack quantum computing. It was founded and is led by Dr Nagendra Nagaraja, whose background includes senior roles at Nvidia and Qualcomm, and its team includes a large cohort of PhDs. The company frames its mission as vertically integrating AI and quantum to serve sectors like manufacturing, finance, pharma, transportation, and materials science. For developers and technical teams, the most relevant product is QpiAI Pro, a no-code AutoML and MLOps platform. It unifies auto-annotation, model training, validation, deployment, and monitoring in one place, and is pitched at domain experts such as radiologists, satellite analysts, and quality engineers who need AI without a machine-learning PhD. It reportedly supports images (including DICOM), video, text, and geospatial raster data, and can train and deploy computer-vision models and LLMs, with GPU scheduling and hyperparameter tuning handled automatically. QpiAI also offers education and training via QpiAI Explorer, plus a wider stack including QpiAISense and quantum-oriented tools. On the quantum side, QpiAI has built full-stack quantum systems and opened a quantum-processor manufacturing facility in Bengaluru, with reported plans to scale toward much larger qubit counts. The company reported a $32M Series A in July 2025 co-led by Avataar Ventures and India's National Quantum Mission, following an earlier reported pre-Series A round. For the purposes of this listing we focus on QpiAI's AI development-platform side; the quantum program is a distinct, longer-horizon effort.
QpiAI is a Bengaluru deep-tech company spanning AI and quantum computing, led by ex-Nvidia/Qualcomm founder Dr Nagendra Nagaraja. Its QpiAI Pro platform is a no-code AutoML and MLOps environment. The company reported a $32M Series A in July 2025 co-led by Avataar Ventures and India's National Quantum Mission.
QpiAI is headquartered in Bengaluru, India, and vertically integrates AI and quantum computing for sectors including manufacturing, finance, pharma, transportation, and materials science. It is led by founder and CEO Dr Nagendra Nagaraja and reports a team with a large number of PhDs.
The developer-facing product, QpiAI Pro, is a no-code AutoML and MLOps platform unifying auto-annotation, training, validation, deployment, and monitoring. It reportedly supports images (including DICOM), video, text, and geospatial raster data, can train CV models and LLMs, and automates GPU scheduling and hyperparameter tuning. The broader stack includes QpiAI Explorer (education) and quantum-oriented tools.
Enterprises and institutions with domain experts (radiologists, satellite analysts, quality engineers) who need to build and operate AI models without deep ML expertise, plus organizations exploring quantum applications.
Domain experts and analysts who build and use models directly, plus data and ML engineers managing pipelines.
Heads of AI/data, R&D, or digital transformation at enterprises and research institutions.
CTOs, chief data officers, quantum and AI research leads, and procurement teams evaluating enterprise AI platforms.
A large enterprise or institution with specialized data (medical, geospatial, industrial imagery) that wants end-to-end model development without staffing a full ML team, and that can operate under a sales-led, custom-priced contract.
QpiAI reported a $32M all-equity Series A in July 2025 co-led by Avataar Ventures and India's National Quantum Mission, at a reported post-money valuation of about $162M, following an earlier reported pre-Series A round led by YourNest and SIDBI Venture Capital. All figures are as reported.
QpiAI is a Bengaluru-based deep-tech company that vertically integrates AI and quantum computing. Its QpiAI Pro product is a no-code AutoML and MLOps platform for building, deploying, and monitoring machine-learning models.
QpiAI was founded and is led by Dr Nagendra Nagaraja, its CEO, who previously held senior roles at Nvidia and Qualcomm.
No. Despite fitting a developer-platform category, QpiAI Pro is an AutoML and MLOps platform for training and deploying models, not a code-completion or pair-programming tool.
Yes. Alongside its AI platform, QpiAI runs a separate full-stack quantum-computing program and has reported opening a quantum-processor manufacturing facility in Bengaluru.
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