About

We build tools that make model adaptation understandable, bounded, and inspectable.

Role: Company
Product: StudioTune
Model track: Mercury
Method: Evidence-bound

01Work

StudioTune is the public product. Mercury is a separate model track.

StudioTune is the public product for changing model behavior. Beta release · evidence-gated capabilities. Mercury is an iPhone-fit fine-tuned model derived from Qwen3.8-27B. In training; device, quality, and release validation remain pending.

01StudioTune: The public product for changing model behavior. Beta release · evidence-gated capabilities.
02Mercury: An iPhone-fit fine-tuned model derived from Qwen3.8-27B. In training · device, quality, and release validation pending.

02Method

Intent → bounded experiment → comparison → proof.

Ainfera's evidence-bound method is: intent, model and data choices, a bounded experiment, comparison, and proof. The StudioTune method keeps each step inspectable before a change is treated as ready.

01Intent

Name the change.

A behavior goal, the model, and the data choices are written down before a run starts.

02Experiment

Keep the work bounded.

Model and data choices become a bounded experiment, then a comparison against that envelope.

03Proof

Leave a trail.

A decision is only as strong as the evidence that can travel with it.

03Boundary

The boundary

Tune Agent proposes. The Engine executes and records evidence. The human decides.

01Tune Agent: Proposes a path. A proposal is a hypothesis, not a completed change.
02Engine: Executes and records evidence. Runs and comparisons stay in one inspectable trail.
03Human: Decides. No adaptation is accepted without a named decision and its proof.

04Profile

Founder

Hizrian Raz

Hizrian founded Ainfera to make model adaptation understandable, bounded, and inspectable, with StudioTune as the public product.