Laya is a free, open-source AI model designed for fast, structured decisions in classification and intent recognition.
Why it matters
Investor A, Investor B
API Docs
API Available
overview
Laya is a classification and intent recognition AI tool that enables game developers, educators, and brand managers to make fast, structured decisions. It is a free, open-source AI model that provides capabilities similar to Jev, focusing on real-time and multimodal perception for AI character crafting. Laya supports custom environment deployment and integrates advanced AI algorithms for various applications.
features
Laya provides a suite of features designed to facilitate structured decision-making and AI character development, leveraging advanced AI algorithms and multimodal perception.
use cases
Laya is designed for a diverse audience requiring AI-driven structured decisions, particularly in interactive and educational contexts.
how to use
Laya offers an API for integration, allowing developers to incorporate its classification and intent recognition capabilities into their projects. The API documentation is available at https://docs.convai.com/api-docs.
pricing
Laya operates on a freemium model, offering a Basic free tier and a Pro subscription. The Basic plan includes 100 daily free interactions and 1 character concurrency. The Indie Dev plan provides 4000 monthly interaction quota and 1 character concurrency. The Professional plan offers 10,000 monthly interaction quota and 3 character concurrency. The Scale plan includes 50,000 monthly interaction quota and 15 character concurrency. Usage pricing for specific standard LLMs like Gemini 3.8 Flash within Convai's Core AI Settings is 0.75 Convai credits per 1k input tokens and 3.75 Convai credits per 1k output tokens, with a platform fee of 6 Convai credits per turn.
Pricing Page
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Laya distinguishes itself from general-purpose NLP libraries by focusing on providing fast, structured decisions for classification and intent recognition, particularly for AI character development.
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While spaCy is a powerful and flexible NLP library, it functions more as a toolkit requiring hands-on coding to build specific classification or intent recognition systems, whereas Laya aims to provide more out-of-the-box structured decisions.
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FastText excels in speed and efficiency for text classification, but it might require more manual feature engineering or pre-processing compared to Laya's implied focus on providing structured decisions directly, and its primary strength is classification rather than broader intent recognition.
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