Market Research Report: Liquid AI
Company Overview
Name
Liquid AI, Inc.
Mission of the Company
Our mission is to build capable and efficient general-purpose AI systems at every scale.
When the Company was Founded and by Whom
Liquid AI was founded in 2023 by Ramin Hasani, Mathias Lechner, Alexander Amini, and Daniela Rus, who are all affiliated with MIT CSAIL.
Key People in the Company
- Ramin Hasani - Co-Founder & CEO
- Mathias Lechner - Co-Founder
- Alexander Amini - Co-Founder
- Daniela Rus - Co-Founder
Headquarters
314 Main St, Cambridge, MA 02142, U.S.
Number of Employees
Between 11-50 employees
Revenue of the Company
No information is available.
What the Company is Known For
Liquid AI is known for developing state-of-the-art foundation models and innovative AI technologies, particularly its Liquid Neural Networks, which are capable of adapting and remaining robust even after being put into operation.
Products
Product Offerings
Liquid Foundation Models (LFMs)
- LFM-1B: A 1B parameter model optimized for various benchmarks. Known for significant performance and memory efficiency, making it superior to many transformer-based models in its class.
- LFM-3B: A 3B parameter model that outshines both its parameter category and prior-generation models up to 13B. Ideal for mobile and edge applications.
- LFM-40B: A 40B parameter model using 12B activated parameters. Its mixture of experts (MoE) architecture facilitates high throughput and cost-efficient hardware deployment.
High-Level Description of the Product
Liquid Foundation Models (LFMs) are large neural networks built with computational units based on the theory of dynamical systems, signal processing, and numerical linear algebra. They are designed to be memory-efficient and handle long sequence inputs with minimal computational overhead.
Key Features of Each Product
- LFM-1B:
- Performance: Outperforms existing 1B parameter transformer models
- Memory Efficiency: Minimal memory footprint
- Application: Edge tasks with long context windows
- LFM-3B:
- Performance: First place among similar-sized models
- Memory Efficiency: Scalable to edge text-based applications
- Application: Mobile and other edge devices
- LFM-40B:
- Performance: Comparable to larger models with double parameters
- Architecture: Mixture of Experts (MoE) for high throughput
- Application: Cost-effective deployment on medium hardware
Recent Developments
New Products Launched
- Liquid Foundation Models (LFMs): LFM-1B, LFM-3B, LFM-40B series of AI models.
- Generative AI Models for Various Modalities: Including text, audio, time series, and images, aimed at expanding capabilities and applications.
New Features Added to Existing Products
- 32k Context Window in LFMs: Enables document and book analysis directly in browsers or on phones.
- Optimization for Specific Platforms: Adaptations for Apple, AMD, Qualcomm, and Cerebras platforms.
New Partnerships
- Capgemini: Collaboration to build next-generation AI solutions for enterprises in domains such as manufacturing, healthcare, and finance.
- ITOCHU Techno-Solutions Corporation (CTC): Partnership to develop sustainable edge AI solutions using Liquid AI’s machine learning technology for applications such as autonomous navigation of drones and vehicles.
Upcoming and Key Events
- Product Launch Event: Scheduled for October 23, 2024, at MIT Kresge, Cambridge, MA to unveil more products and further progress on LFMs.
Conferences and Contributions
- ICML 2024: Multiple papers co-authored by Liquid AI team members.
- ICLR 2024: Contribution of significant papers around Graph Metanetworks and machine perception.
- NeurIPS 2023: Presentation and collaboration on innovative papers, including Gigastep and HyenaDNA.
Press and Media Inquiries
- Contact: For any media-related questions, the company can be reached via their website.
Conclusion
Liquid AI is leading significant advancements in AI with pioneering research and foundational models that emphasize efficiency, scalability, and interpretability. Its growing partnerships aim to integrate robust AI solutions across various industries, positioning the company at the forefront of cutting-edge AI innovations.
This concludes the market research report for Liquid AI.
