Why own Research

At Valka.AI, a pioneering spin-off from the Realms Group, we're driven by a singular vision: to revolutionize how people create and experience digital content. We believe content shouldn't just be consumed; it should be co-created in real time, blurring the lines between imagination and reality. Our research is the engine that fuels this ambition, allowing us to build an interactive human-digital platform where virtual characters dynamically respond to every user's voice, text, gestures, and more. This is our chance to redefine what's possible in generative content, shifting the paradigm from passive viewing to active participation and unlocking new creative frontiers across gaming, entertainment, education, and beyond.

We're building something truly monumental: a bridge between realities, and our research is at the core of this ambition. We're developing generative content solutions that bring lifelike digital characters to life, with emotions and speech indistinguishable from that of real human beings. This work is poised to disrupt traditional video production, offering unprecedented scalability and personalization. We do this research to contribute to a transformative technology and leave our mark on tomorrow's digital frontier, creating an entirely new standard for digital human interaction.

Our commitment to innovation extends beyond our internal team; it's about contributing to and advancing the research community at large. That's why we actively cultivate strategic partnerships with leading universities and their research labs. By collaborating with academic institutions, we're not just expanding our own talent pool and knowledge base at Valka.AI, we’re fostering a vibrant ecosystem of shared learning and discovery.

What we work on in Video Generation

Our video research is at the heart of bringing lifelike digital humans to reality. We achieve this by building advanced video generation and editing models. Our aim is to create incredibly lifelike video content for our avatars, as well as other visual applications, ensuring consistency, realism, and stylistic coherence. This involves working with state-of-the-art models and pushing the boundaries of what diffusion models can do in video synthesis.

Our current focus in video research revolves around designing, developing, and optimizing video generation models using Generative Adversarial Networks and Diffusion models. We're particularly concentrated on ensuring consistency, realism, and style in the video content for our digital avatars and related applications. A significant part of our work is dedicated to experimenting with cutting-edge diffusion architectures to achieve highly controllable and exceptionally high-quality video synthesis that runs in real time. Ultimately, our goal is to bring hyper-realistic digital humans to life, ones that move and interact seamlessly with you from your screen, enabling a truly immersive experience.

What we work on in Audio Generation

Our audio research is dedicated to pioneering the next era of interactive video content by enabling the lifelike creation of dynamic digital humans. To achieve this, we're deeply involved in developing advanced models for voice cloning and speech synthesis. Our process includes meticulously designing, training, and evaluating neural networks specifically for speech generation, which create voices that are not only authentic, but also full of emotional depth.

Our current focus in audio research is on developing and refining speech synthesis and voice cloning models. Whether it’s to reproduce a specific speaking style and personality from reference audio, or to create something entirely new, we're training these models to generate high-fidelity, natural-sounding speech, with broad emotional range and real-time inference speed.

Ultimately, our goal is to seamlessly transition these advanced models from research to production, empowering our digital humans with incredibly realistic and dynamic voices.

What we work on in Event Generation

We're on a mission to build cutting-edge AI-based real-game simulations for top esports titles like Counter-Strike 2, Dota 2, and League of Legends, as well as traditional sports like football. We believe that by accurately projecting the probabilistic game states throughout a match, we can unlock unprecedented opportunities for analysis, content creation, and personalized experiences.

Our approach to Event Generation research involves a blend of cutting-edge machine learning techniques. We develop sophisticated models for in-game simulations, carefully designed to replicate the intricate nuances of real player behavior.

Our current focus in Event Generation research is on developing and refining models for in-game simulations across a range of esports titles and traditional sports. A key area of research involves experimenting with cutting-edge architectures such as reinforcement learning, transformer, or other sequence modeling methods, to redefine what's achievable in complex time-series prediction.

Ultimately, we aim to push the boundaries of what's possible in generative AI, moving towards a future where digital events are as dynamic and engaging as their real-world counterparts.