Symbiosis offers an AI orchestration platform that automates the selection and deployment of optimal AI models for diverse tasks, enhancing efficiency and reducing costs. It ensures data privacy and security through homomorphic encryption and provides scalable, serverless AI inference with extended context windows.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations struggle with the complexity of selecting and integrating the optimal AI models for their specific use cases, leading to inefficient resource allocation and suboptimal performance. Furthermore, ensuring data privacy and security during AI model interaction remains a significant challenge.
Solution
Symbiosis provides an AI orchestration platform that automates the selection and deployment of the most effective AI models for diverse tasks, enhancing operational efficiency and reducing costs. The platform integrates seamlessly with existing workflows, offering scalable AI inference capabilities. It addresses data privacy concerns through advanced encryption protocols, enabling secure utilization of AI without compromising sensitive information. This approach ensures that businesses can leverage cutting-edge AI technologies while maintaining robust data security and maximizing performance.
Target Audience
The primary target audience includes developers, startups, and enterprises seeking to integrate advanced AI capabilities into their existing systems to improve productivity, reduce operational costs, and enhance data security.
Features
- **LLM Fusion Engine:** Automates the selection and orchestration of multiple Large Language Models (LLMs) based on prompt subject matter and price-to-performance ratios, eliminating manual model selection.
- **SecureDataBridge:** Utilizes End-to-End Homomorphic Encryption to enable computations on encrypted data, ensuring data privacy and security throughout the AI processing pipeline.
- **CRAFT Training (Contextual Retrieval Augmented Fine-Tuning):** Enhances AI model accuracy and adaptability by combining external knowledge retrieval with fine-tuning processes.
- **ExtendedReach LLMs:** Expands LLM context windows to process extensive datasets (up to 4M tokens), maintaining coherence and precision for complex, large-scale interactions.
- **Serverless AI Inference:** Provides scalable and cost-efficient AI model execution without the need for managing underlying infrastructure.
- **Vector Embeddings and Search:** Converts complex datasets into vector formats for efficient AI inference and enables similarity searches within large datasets.
- **Symbiosis Guardrail Engine:** Implements a validation layer to ensure input prompts and outputs adhere to moderation, compliance, and security standards.
- **Custom Integrations & Enterprise Tools:** Facilitates the integration of enterprise-specific tools and custom datasets to tailor AI processing for unique business requirements.