advancing humanity
with quantum Federated Learning
& privacy-preserving AI

AGI-POWERED FUTURE

Born from a vision to harmonize Generative AI & Enterprise AI innovation with impeccable data privacy, VIVA AI stands at the forefront of open collaborative AI and Quantum Federated Learning. Federated Learning allows AI model training with data owned by different parties. The data never leaves the owner's server, but improves accuracy of the global AI model.

The landscape of ML/AI is rapidly evolving, and with the vast amount of data generated every day, the traditional centralized model is becoming inefficient and at times risky. With data privacy concerns on the rise and the emerging capabilities of quantum computing, there is a pressing need for a solution that combines the privacy benefits of Federated Learning with the computational advantages of Quantum Computing .Public, centralized data is only tiny fractions of all data in the world. Distributed data — data on devices, IOTs or in organizational silos -- is much more valuable and comprehensive but out of reach for AI today. VIVA AI solutions markedly improve your business results while preserving data privacy, complying with ESG and all regulations.

“Once the machine thinking method started, it would not take long to outstrip our feeble powers. They would be able to converse with each other to sharpen their wits. ”

---- Alan Turing

Recent LLMs achieved state-blazing results by scaling model size and training on large datasets. But most LLM like ChatGPT are trained on public data. Training on larger private, comprehensive data will unlock the next leaps in AI.At its core, quantum computing uses the principles of quantum mechanics to process vast amounts of data at speeds unimaginable with today's classical computers. Quantum computing offers significant speedup in training machine learning models, especially as the models and datasets become larger. Combining this with federated learning means more efficient model training without compromising on data privacy.

Unleash Full Data Potential

Unlock the potential of data utilization without compromising privacy with Homomorphic Encryption technology. This ground-breaking technique allows for the analysis and computation of encrypted data without ever needing to decrypt it, safeguarding sensitive information from potential breaches. Step into a realm where data privacy and utility coalesce, fostering a secure and innovative digital landscape.

HOMOMORPHIC ENCRYPTION

Navigate the complex world of data-sharing with Secure Multi-Party Computation (SMPC). This revolutionary method enables parties to jointly analyze and compute data, while preserving the confidentiality of individual data inputs. Facilitating collaborative analytics without compromising security, SMPC is reshaping the paradigms of data exchange and cooperation, paving the way for a safer, smarter, and more inclusive digital future.

SECURE MULTI PARTY COMPUTATION

Experience the epitome of secure and private transactions with Zero-Knowledge Proof technology. This advanced cryptographic method ensures data security without revealing any sensitive information to the verifier. Upholding both transparency and privacy, it epitomizes the future of secure digital interactions, offering an unprecedented layer of security and trust in the modern era of connectivity.

ZERO-KNOWLEDGE PROOF

Harness the potential of Synthetic Data Generation to fuel innovation and analysis without risking privacy violations. This sophisticated approach creates high-quality, artificial datasets, mimicking the properties of original data, thereby facilitating accurate model training and research while safeguarding sensitive information. Step into a new era of data science where confidentiality meets utility, fostering a robust and ethical analytical environment.