Laya

Laya is a multilingual, non-autoregressive decision engine that performs typed decisions across languages.

Laya is a multilingual, non-autoregressive System 1 decision engine that performs typed decisions in a single forward pass over 100+ languages in about 33 milliseconds. It is trained with reinforcement learning against strictly proper scoring rules, using a router to pick the correct checkpoint per request. Users can fine-tune checkpoints on their own domain data from a plain labelled CSV to improve task accuracy. The engine supports long documents up to 8,192 tokens and handles many-option choices by splitting them into groups. It integrates with tools like LangChain, LangGraph, LlamaIndex, and CrewAI, and provides Python, TypeScript, and command-line interfaces.

Laya at a glance

Best for: Software engineer, Researcher
Runs on: Web, macOS, Windows, Linux, Chrome extension, API, CLI, self-hosted, open source
Pricing: Free
Released: September 2026
Category: AI research tool
Website: github.com/nandhakishorm/laya

Key features

Processes decisions in a single forward pass
Supports over 100 languages
Fine-tunes checkpoints from labelled CSV data
Handles long documents up to 8,192 tokens
Resolves many-option choices via tournament prediction
Offers command-line tools for training and evaluation
Integrates with LangChain and LlamaIndex

Use it for

Automating text classification and triage tasks
Running domain-specific decision workflows
Processing multilingual support tickets
Evaluating decision accuracy on custom datasets

Alternatives to Laya

NanoJev — It runs parallel decisions and outputs probability distributions without output-token decoding.
Nouli — It gives stateless decision models a persistent memory across branching sessions.
Decido — Runs locally on CPU while beating published benchmark scores.
Deepopen — Provides millisecond-level inference speeds and completely eliminates text generation hallucinations.
SemIf OpenJev — Extracts direct token probabilities without generating text or running JSON repair loops.
WeKnora — Combines RAG, multi-step agents, and automatic Wiki generation in one platform.
Console — Combines fast AI decision routing with precise document reading in one API key.
Clef — Offers low latency and high-speed classification for agentic workflows.
Kev — Provides calibrated probabilities and matches the TypeSafe API.
LLM Stats — Independent rankings updated continuously from live API metrics.
Vegaml — Runs locally on your hardware with calibrated probabilities and conformal answer sets.
Bud Decision Studio — Run open decision models locally and get calibrated probabilities in milliseconds.

All Laya alternatives