Proprietary Solutions
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Last updated
Last updated
3D Models are pivotal to bringing Advanced PFP experience. bythen specializes in creating highly detailed 3D characters that are not only visually stunning but also functional across various use cases and environments.
bythen 3D characters utilize advanced texturing tools to add depth and realism. High-resolution textures ensure that every detail, from skin pores to fabric weaves, is accurately represented, while Physically Based Rendering (PBR) techniques simulate realistic lighting and material interactions, enhancing the overall visual fidelity.
The 3D characters are built with standardized rigs, ensuring consistency across different characters and use cases. This standardization allows for seamless animation and easier integration into various environments. These rigs include a comprehensive skeletal structure that supports complex movements and interactions. They are designed to be compatible with industry-standard animation tools and pipelines.
bythen incorporates a variety of blend shapes to enable detailed facial expressions and subtle deformations. These blend shapes are meticulously crafted to ensure smooth transitions and natural-looking animations, making bythen characters more relatable and engaging.
bythen leverages advanced pose detection and estimation technologies to create engaging and realistic 3D character movements for digital representation and content creation. By integrating augmented reality (AR) for real-time pose detection, bythen platform captures users’ physical movements with high precision, allowing their digital avatars to mirror their actions seamlessly. This capability is particularly impactful for digital representation use cases such as video calls and live streams, where 3D characters (Bytes) can accurately reflect users’ gestures and expressions, enhancing communication and interaction. Additionally, we utilize cutting-edge 3D modeling and animation tools to render and play these movements, ensuring that Bytes exhibit natural and fluid animations.
For content creation, bythen platform employs sophisticated pose estimation algorithms to interpret text and voice commands, enabling dynamic and contextually appropriate 3D character animations. This capability generates high-quality, realistic animations effortlessly that aligns with narrative and contextual cues with precision. By using AI-driven pose estimation from multimodal inputs, content creators can bring their stories to life with Bytes that exhibit natural and expressive movements.
Characters adapt their movement based on the environment they are placed in. For instance, a character in a virtual office setting can exhibit professional gestures, while the same character in a gaming environment can perform dynamic actions like running or jumping.
Multi-LLM integration framework and SDKs enable 3D characters to interface with a variety of large language models (LLMs), enhancing user interactions by leveraging the unique capabilities of each model. This flexibility allows users to utilize both general-purpose models and those tailored for specific use cases and domains. By balancing computational resources and performance metrics across different LLMs, the framework ensures that even resource-intensive tasks such as real-time conversations and autonomous agents are executed efficiently, without compromising user experience or operational costs.
Multi-LLM framework integrates and fine-tunes advanced LLM routing capabilities (e.g. RouteLLM) to ensure optimal performance by dynamically directing user requests to the most suitable Large Language Model ensuring both cost-effectiveness and high-quality responses. LLM routing models analyze the complexity and intent of each query and employ a predictive model to determine the best LLMs that fits the need.
AI Assistants toolkit possesses both short-term and long-term memory capabilities. Short-term memory allows for context retention during ongoing interactions, ensuring coherent and personalized responses. Long-term memory enables agents to remember user preferences, past interactions, and contextual details over extended periods, enhancing user engagement and continuity. Additionally, users have the flexibility to selectively fine-tune, update, or delete memories, giving them control over the information retained by their AI assistants. This dynamic memory management not only personalizes the user experience but also ensures privacy and relevance in ongoing interactions.
Backstory and Personality Seeding imbues AI assistants with rich backstories and personalities. This involves initializing agents with predefined character traits, histories, and narrative arcs, shaping 3D assistant emotions, gestures, behavior and responses in alignment with user expectations and thematic contexts.
Furthermore, AI assistants can be augmented with domain or use case-specific knowledge, enhancing their expertise and relevance in specialized contexts, which can be used as their alter-ego. This is achieved through the integration of knowledge graphs derived from user-provided knowledge bases, which can include various formats such as documents, images, and other multimedia content. By processing and organizing this information, these alter-egos can access and utilize domain-specific knowledge and can be integrated into external platforms to deliver valuable insights and solutions
The virtual camera and AR technology solutions allow users to stream and interact in real-time using their 3D characters. AR technology will mirror the user’s expressions and gestures, overlay the digital character onto the real world, allowing users to blend their physical and virtual environments thereby creating a lifelike and engaging experience for digital representation on streaming platforms, social media, and virtual meetings.
bythen content generation tool powers digital storytelling with a suite of powerful capabilities designed to inspire creativity and streamline production. These capabilities includes:
Intuitive text editor seamlessly integrated with Language Model (LLM) capabilities, empowering users to craft compelling narratives.
Augment narratives with a diverse array of multimedia assets, including audio, video, presentations (PPT), images, PDFs, and more, ensuring versatility in storytelling.
Advanced PFPs with motions and gestures as narrating character
Voice cloning feature, enabling the replication of voices for narration and character dialogue
Cinematic filters to further elevate visual aesthetics,
A comprehensive template database to accelerate project initiation with pre-designed layouts and themes.
Drag-and-drop functionality, clip editing timeline and integrated controls for seamless editing of multimedia clips across different asset types. Harnessing foundational and proprietary technologies, our platform seamlessly integrates text, multimedia assets, voice, and 3D characters to create sophisticated, professional 3D contents.
bythen platform ensures robust security through secure OAuth & open connect protocols for authentication and access management. Data encryption is implemented for all data exchanges with 3rd party platforms and storage, ensuring confidentiality and integrity. We adhere to stringent privacy regulations to protect user data and maintain compliance. Continuous monitoring and compliance checks ensure that our platform meets the highest standards of data privacy and security.
As our product heavily leverages advanced Large Language Models (LLMs) and generative AI, we are committed to enforcing stringent ethical and compliance standards in both the selection and usage of these technologies. We prioritize fairness by selecting models that undergo rigorous bias detection and mitigation processes from their providers and performing our own regular audits.
To further enhance ethical usage, our product allows users to customize their prompting and backstory techniques to ensure the LLM’s responses are confined to specific knowledge domains relevant to their needs. Users can define backstories that embed domain-specific knowledge and establish guardrails to maintain focus and relevance in the model’s outputs. The responses can be limited only to the knowledge provided by the user, explicitly avoiding references or responses to unrelated/competitive services. Additionally, our product includes pre-built guardrails within the LLM prompts that restrict responses on sensitive subjects, such as politics and religion, to prevent the generation of opinions on these topics.
