Dynamically routes workloads across GPUs, TPUs, and qubits
to maximize performance-per-dollar on heterogeneous
computing pipelines.
Deep-RL rewrites circuits and squeezes gate depth in seconds,
mitigating NISQ noise without manual tuning
or complex optimization.
Real-time noise sensing with Bayesian forecasting
injects just-enough codes, balancing fidelity
and throughput seamlessly.
Zero-copy tensor-to-qubit interchange and stage-parallel
execution slash model iteration time
for faster AI training.
Providers monetize by time, gates, or joules;
smart contracts guarantee transparent settlement
and prevent power hoarding.
Homomorphic encryption combined with SGX enclaves
lets enterprises run quantum-AI workloads
without exposing proprietary data.
Qubits Orchestrated
AI Training Speedup
Enterprise Clients
Quantum Fidelity
At Cryvantis, our mission is to ignite the next era of computation by seamlessly uniting advanced artificial intelligence with truly scalable quantum hardware. We aim to:
Democratize Exponential Compute – Turn formerly million-core workloads into one-click services so that start-ups, researchers, and Fortune 500s alike can prototype, iterate, and deploy at quantum speed.
Bridge Two Frontiers – Use deep-learning optimisation to tame noisy, intermediate-scale quantum devices today, while designing architectures that will power fault-tolerant systems tomorrow.
Make Performance Sustainable – Deliver petaflop-class results with a fraction of the energy footprint, ensuring that greater compute no longer demands greater carbon.
Accelerate Real-World Impact – Focus relentlessly on end-to-end solutions—drug discovery pipelines, supply-chain optimisers, generative-AI accelerators—so breakthroughs leave the lab and change lives faster.
We see a world where quantum-AI clouds form the silent engine behind society's boldest ambitions:
Healthcare Reimagined – Personalised therapeutics discovered in days, gene-edited cures simulated before a scalpel ever touches skin.
Climate-Positive Innovation – Carbon-negative materials, fusion catalysts, and next-gen batteries designed atom-by-atom inside quantum workbenches.
Instant, Intelligent Infrastructure – Global logistics networks that reroute around storms in real time; energy grids that self-optimise millisecond by millisecond.
Boundless Intelligence – Trillion-parameter language and vision models trained overnight, enabling human-level assistants that are universally accessible and ethically aligned.
Inclusive Progress – Open APIs, community sandboxes, and education partnerships that let every curious mind—regardless of geography or resources—build on quantum-AI foundations.
In this future, complexity is no longer a barrier; it is the canvas on which innovators paint the solutions that shape a healthier, smarter, and more sustainable planet.
Dare to Explore – Curiosity drives every breakthrough.
Precision Matters – From qubits to UI pixels, details define excellence.
Open Collaboration – We grow faster together—academia, industry, and community.
Impact First – Technology only matters when it solves real problems.
AI ×
Quantum
Explore our quantum-AI technology through hands-on demonstrations. Build quantum circuits, simulate network topologies, and monitor AI training in real-time. Click, interact, and discover the power of quantum computing.
Accelerating molecular simulation for COVID-19 antiviral research. Reduced computation time from 6 months to 3 days.
Real-time energy distribution optimization for renewable power grids. Managing 500,000+ nodes across 12 cities.
Training next-generation language models with quantum-enhanced neural networks. 175B parameter model in 12 hours.
Deploy quantum-AI workloads with just a few lines of code. Our SDK abstracts the complexity while giving you full control over performance optimization.
Choose from our quantum computing service packages. Pay with Cryvantis (Cryvantis) tokens to access exponential computing power for your AI and research projects.
Blockchain Architect & CEO
Smart Contract Engineer
Web3 Frontend Developer
DeFi Protocol Engineer
Tokenomics Specialist
Blockchain Security Auditor
Crypto Research Analyst
Sensitive datasets are split into cryptographically linked shards, processed via secure multiparty computation so no single node ever sees the full plaintext.
Users trade futures and options pegged to qubit-seconds or GPU hours, letting builders hedge compute costs while speculators provide liquidity.
Guaranteed Performance