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Qkrishi

Qkrishi provides Quark‑QOS, a superconducting runtime layer that intelligently schedules and executes quantum workloads for finance‑sector applications.

New DelhiFounded 20212410K+ followers
Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Financial institutions face increasingly complex optimization and risk‑analysis tasks that exceed the capabilities of classical computing, leading to slower decision cycles and higher operational costs. Access to practical quantum computing solutions is limited by the lack of integrated software layers that can efficiently manage quantum workloads in real time.

Solution

Qkrishi offers Quark‑QOS, a superconducting runtime layer that intelligently schedules and executes quantum workloads with dynamic, runtime‑optimized decision processes. By abstracting low‑level quantum hardware complexities, Quark‑QOS enables finance‑sector partners to run quantum algorithms more efficiently, reducing time‑to‑solution for problems such as portfolio optimization, fraud detection, and risk modeling. The platform integrates advanced software and algorithms developed in collaboration with leading universities and industry labs, providing a seamless bridge between quantum research and commercial finance applications. Through the Quantum Industry Lab, Qkrishi supports joint research projects and quantum skilling programs, helping organizations build internal expertise while accelerating adoption of quantum advantage.

Target Audience

Primary customers are banks, asset managers, insurance firms, and fintech companies seeking to enhance quantitative analytics and decision‑making with quantum computing.

Features

  • Superconducting runtime layer that dynamically optimizes quantum workload execution at runtime
  • Intelligent scheduling and decision engine that adapts to hardware conditions and algorithmic requirements
  • Integrated suite of quantum algorithms for finance use cases, including optimization and quantum machine learning
  • Collaboration framework linking industry partners with academic researchers for co‑development and validation
  • Quantum skilling programs and training resources for engineers, scientists, and managers
  • Secure cloud‑enabled interface for submitting jobs and retrieving results, compatible with existing finance IT stacks
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