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QpiAI

Bengaluru deep-tech pairing a no-code AI development platform with quantum computing

Editorially reviewedChecked Sep 2026How we review
coding#made in india#automl#mlops#no-code
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Toolglade’s take

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.

About QpiAI

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.

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TL;DR

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.

Company overview

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.

Product features

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.

Target market

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.

Buyer personas

End users

Domain experts and analysts who build and use models directly, plus data and ML engineers managing pipelines.

Buyers

Heads of AI/data, R&D, or digital transformation at enterprises and research institutions.

Key influencers

CTOs, chief data officers, quantum and AI research leads, and procurement teams evaluating enterprise AI platforms.

Ideal customer profile

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.

Funding & performance

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.

Pros & cons

Pros

  • No-code workflow lets domain experts build models without ML expertise
  • End-to-end coverage from annotation to deployment and monitoring
  • Supports specialized data types like DICOM and geospatial raster
  • Automates GPU scheduling and hyperparameter tuning
  • Backed by strong funding and an experienced, credentialed team
  • Made-in-India deep tech with government-backed quantum ambitions

Cons

  • No published pricing; sales-led and likely enterprise-priced
  • Not a coding assistant or IDE tool despite the category fit
  • Company attention is split with a high-profile quantum program
  • No free plan or self-hosting option advertised
  • Platform maturity is harder to gauge amid broad product scope
  • Capability and roadmap claims are vendor-reported

Pricing plans

QpiAI Pro
Contact sales / custom
  • No-code AutoML and MLOps platform
  • Auto-annotation, training, deployment, monitoring
  • Support for images, video, text, geospatial data
  • Automated GPU scheduling and tuning
Enterprise
Contact sales / custom
  • Custom deployments and SLAs
  • Dedicated support and onboarding
  • Integration with enterprise data and compute
  • Access to broader QpiAI stack

Key features

API
Team collaboration
Integrations
GPU compute backends, DICOM medical imaging, geospatial raster data sources
Input types
images, video, text, geospatial raster data, datasets
Output types
trained models, predictions, annotations, deployed endpoints
Best For
no-code model training, data annotation, computer vision, enterprise mlops

Compare key features

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Feature
QpiAI
Muse Code
Claude Code
Pricing
Paid
Paid
Paid
Free plan
No
No
No
Free trial
No
No
No
API
Yes
Yes
Yes
Team support
Yes
No
Yes

Frequently asked questions

What is QpiAI?+

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.

Who founded QpiAI?+

QpiAI was founded and is led by Dr Nagendra Nagaraja, its CEO, who previously held senior roles at Nvidia and Qualcomm.

Is QpiAI a coding assistant?+

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.

Does QpiAI do quantum computing too?+

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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