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Quantum as a Service for Scalable Scientific Discovery

Experience the next frontier of computing with Quantum as a Service. Access on-demand quantum computing, simulate molecules, and accelerate innovation across chemistry, life sciences, and physics—without the infrastructure burden. Built for researchers, scientists, and enterprises ready to explore the quantum advantage.

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The Quantum Opportunity: Market Insights

$77M cloud-based quantum computing market in 2023, projected to reach $4.06B by 2028.

$3B quantum computing as a service (QCaaS) market in 2024, with $4.48B forecast by 2025.

$850B in projected economic impact from quantum infrastructure for scientific research by 2040.

Harness the Quantum Advantage

Cloud-based Quantum Environment

Cloud-based Quantum Environment

Run simulations from anywhere with a browser-based quantum computing interface. Access powerful processors via intuitive tools—no specialized hardware required.

Hybrid Quantum Classical APIs

Hybrid Quantum Classical APIs

Integrate hybrid quantum-classical computing APIs to accelerate existing workflows using quantum speedups—without altering your IT architecture.

Material Science Simulations

Material Science Simulations

Use VQE, QAOA, and hybrid techniques to simulate materials at the atomic level. Our quantum simulation tools for material science enable faster insights with ready-to-use templates.

Quantum Chemistry Modeling

Quantum Chemistry Modeling

Our quantum chemistry modeling simulates molecules with unmatched precision—powering breakthroughs in R&D and property analysis.

Quantum Enhanced Drug Discovery

Quantum Enhanced Drug Discovery

Improve pharmaceutical R&D using quantum-enhanced drug discovery workflows. Analyze biological systems faster and with greater accuracy.

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What Scientists and Innovators Are Saying

Anil Kumar

President and Founder at Medford Pharma

mlangles is truly innovative. It’s a simplified, no-code platform that enables us to scale AI projects quickly and seamlessly, without the complexity. What sets it apart is how it empowers our business teams to effortlessly access and leverage AI models, allowing them to act on insights with speed and precision.

Mr. Prasad

VP business development at Technet

Exploring Cloudoptimax was a game-changer for our multi-cloud cost optimization. In just a few minutes, it identified underutilized resources and provided actionable insights. The predictive cost optimization, real-time anomaly detection, carbon credit tracking, and charity donation feature make managing cloud costs, reducing our carbon footprint, and supporting charitable causes effortless.

Deepak K

CTO at SBM management

As a CTO, I’ve seen firsthand how Cloudangle’s expertise has helped us build a strong data foundation. The team helped me to build a strong Data& AI foundation. The AI-automated data pipelines have helped us achieve a 75% reduction in data latency, and we now access insights twice as fast. The cloud-native architecture has unified our data ecosystem, accelerating our journey toward smarter, data-driven decision-making.

Mr. Prasad

VP business development at Technet

Exploring Cloudoptimax was a game-changer for our multi-cloud cost optimization. In just a few minutes, it identified underutilized resources and provided actionable insights. The predictive cost optimization, real-time anomaly detection, carbon credit tracking, and charity donation feature make managing cloud costs, reducing our carbon footprint, and supporting charitable causes effortless.

Muni Raju

President at Intelligent Systems

Testingaide unifies everything into one platform, powered by Agentic AI. Every step of the process is fully automated with intelligent agents, streamlining testing from start to finish. Since implementation, our team’s efficiency has soared by over 80%, making testing faster, smarter, and more reliable than ever.

Mr. Prasad

VP business development at Technet

After running a data migration with Dataixpress, I was thoroughly impressed. What used to be a ten-month migration process has now been reduced to just two weeks. The automated schema mapping worked flawlessly, and the ability to migrate both structured and unstructured data without any downtime is truly remarkable. This efficiency will have a significant impact on our timelines and costs.

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