Applied AI systems that see, decide, and act.

QVisionX builds vision, agentic, and physical AI for teams shipping real products. We work with startups that need working systems in production, not pilots that stall at the demo.

Focus
Vision · Agentic · Physical AI
Team
1 Founder + AI Agent Fleet
Research
Quantum AI

Four practices

Each practice ships independently, and they compose: perception feeding agents, agents driving hardware.

01

Vision AI

Build intelligent visual systems for inspection, detection, segmentation, monitoring, and automated decision-making.

Try live object detection
02

Agentic AI

Design autonomous AI agents that reason, plan, collaborate, and automate complex enterprise workflows.

Watch a supervisor agent plan
03

Physical AI

Connect perception, reasoning, and action to build intelligent systems for robotics, edge AI, and real-world automation.

Inside a vision-language-action model
04

Quantum AI

Exploring quantum-classical hybrid models, quantum-enhanced optimization, and quantum machine learning for next-generation AI systems.

Active research

Don't take our word for it. Run it yourself.

Most AI consultancies ask you to trust a slide deck. We'd rather hand you a working detector and let you point your own camera at it — with the real inference latency printed next to the result.

  • A real model, running live in your browser
  • Measured latency on your hardware, not a stored number
  • Nothing uploaded — inference happens on your device
Open the live demo
person  86%
laptop  71%
Inferencelive
Runs onyour device
Uploadsnone

How an engagement runs

A structured path from problem definition to production handover.

01

Scope against a measurable target

We define the metric the system has to move — recall, cycle time, cost per task — before any model work begins.

02

Prototype on your data

A narrow, evaluable build against real inputs and real failure cases, with the evaluation harness delivered alongside it.

03

Deploy and hand over

Production deployment on your infrastructure, with monitoring, documentation, and a team that can run it without us.

One founder. A fleet of AI agents.

QVisionX is a one-person company — but never a one-mind operation. Behind every engagement, specialized AI agents handle research, code generation, testing, evaluation, and deployment orchestration.

The founder architects the solution and owns the outcome. The agents execute at a speed and breadth no traditional team can match.

Research
Code
Testing
Evaluation
Deploy

The stack behind the systems

Production-grade tools chosen for reliability, not novelty.

Perception

Custom vision models, multi-modal pipelines, and real-time inference at the edge.

PyTorch ONNX TensorRT OpenCV

Reasoning

LLM orchestration, tool-use agents, structured planning, and retrieval-augmented generation.

Claude LangGraph RAG MCP

Infrastructure

Containerized deployments, GPU-optimized serving, monitoring, and CI/CD pipelines.

Docker Kubernetes Triton AWS / GCP

A small studio, built around one question.

QVisionX is being incorporated as a one-person company in 2026, backed by a constellation of AI agents that research, build, test, and deploy. The question it exists to answer: what does it take to get an AI system past a convincing demo and into daily production use?

That answer is mostly engineering — data pipelines, evaluation, latency budgets, deployment on hardware that already exists. In parallel, we maintain an active research track in Quantum AI, exploring how quantum-classical hybrid approaches can unlock the next frontier of machine intelligence.

Measured, not asserted.

Every engagement carries an evaluation set from day one.

Your infrastructure, your weights.

No lock-in to a hosted layer you cannot inspect.

Smallest model that clears the bar.

Capability is a cost decision, not a status one.

Handover is part of delivery.

Documentation and training ship with the system.

Built by a founder who ships

Priyanka Mandal, Founder of QVisionX
Priyanka Mandal
Founder & CEO, QVisionX (OPC) Private Limited

Priyanka sits at the intersection of AI engineering and business strategy. She understands what it takes to build production AI systems — and what it takes to turn them into products that customers pay for. That dual lens shapes every engagement at QVisionX.

She architects solutions, assembles on-demand teams of specialist AI engineers for complex builds, and runs a fleet of AI agents that handle research, code generation, testing, and deployment around the clock. The result: startup-grade speed with enterprise-grade reliability.

Her current research track — quantum-classical hybrid models — is where she's betting the next frontier of machine intelligence will emerge.

Tell us what the system has to do.

A short description of the problem and the metric you care about is enough to start. We reply within two business days.

Entity
QVisionX (OPC) Private Limited

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