Malted AI develops custom Small Language Models (SLMs) that are 10-100 times smaller and more efficient than traditional Large Language Models, enabling enterprises to deploy domain-specific AI solutions at a significantly reduced cost. Their distillation technology automates data generation for training SLMs, addressing the inefficiencies and high costs associated with manual data annotation.
Funding
$6.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Large Language Models (LLMs) often lack domain specificity and are expensive to deploy at scale for enterprise applications. Manual data annotation for training specialized language models is inefficient and costly, hindering the development of tailored AI solutions.
Solution
Malted AI develops custom Small Language Models (SLMs) that are significantly smaller and more efficient than traditional LLMs, enabling enterprises to deploy domain-specific AI solutions at a reduced cost. Their distillation technology automates the generation of high-quality training data, eliminating the need for extensive manual annotation. These SLMs are optimized for specific use cases, providing accurate and transparent results. Malted AI's solutions can be deployed securely on a client's own cloud infrastructure or on Malted AI’s secure platform, with ongoing maintenance and support to ensure models remain state-of-the-art.
Target Audience
The primary target audience includes enterprises seeking cost-effective, domain-specific AI solutions for tasks such as knowledge management, regulatory compliance, and customer interaction analysis.
Features
- Custom Small Language Models (SLMs) tailored to specific enterprise needs.
- Distillation technology for automated data generation, reducing annotation costs.
- Retrieval Augmented Generation (RAG) for answering domain-specific questions and generating content.
- Classification capabilities for categorizing unstructured information and extracting key insights.
- Search functionality for finding hidden information within diverse knowledge sources.
- Secure deployment options on client's cloud or Malted AI's platform.
- Ongoing maintenance and support for continuous model improvement.