Laya vs Jev: The Open-Source Answer to the Decision-Model Wave

Laya vs Jev: The Open-Source Answer to the Decision-Model Wave

Last week the AI world met Jev, TypeSafe AI's non-chat "System One" model that returns typed decisions instead of prose. It took days for an open answer to appear: Laya, an Apache 2.0, open-weight decision model from Convai Innovations, a startup out of Kasaragod, Kerala, India. If Jev made the category interesting, Laya makes it accessible to everyone. Here is what it is, how the two compare, and what to watch out for.

What Laya is

Laya is a non-autoregressive decision model: it does not generate text at all. You hand it a piece of state (an email, a support ticket, an agent trace, a JSON object) plus typed questions with fixed answer sets, and it returns the chosen answers with calibrated probabilities in a single forward pass. No tokens, no prose, nothing to hallucinate, no JSON parsing failures.

The main English checkpoint is small by modern standards, roughly 421 million parameters on a ModernBERT-large backbone, which is exactly the point: it runs on modest local hardware, and a multilingual variant covers 100+ languages.

Laya vs Jev, honestly

| | Jev (TypeSafe AI) | Laya (Convai Innovations) |

|---|---|---|

| Access | Closed, hosted API | Apache 2.0 open weights, self-hostable |

| Latency (vendor-reported) | ~236-276 ms hosted | ~33 ms p50 on a single Tesla T4 |

| Cost | Per-call API pricing | $0 self-hosted |

| Languages | English-focused | 100+ |

| Out of the box | Tuned for decision tasks | Near-random until you fine-tune it |

Two big caveats keep this honest:

Why this category matters

Both models bet on the same idea, named after Kahneman's System 1: most production "AI" work is not open-ended writing, it is millions of fast, narrow decisions - is this fraud, which queue, does this violate policy, what is the next step. A tiny typed classifier answers those cheaper, faster and more reliably than a chat model asked to "respond only in JSON."

The emerging stack looks like this:

Which one should you try

Full technical breakdowns in our wiki: Laya and Jev.