AinferaStudioTune
Shape the intelligence behind your work.
Fine-tuning, made simple.
BETA RELEASE
People can now create software by describing what they want.
Websites. Apps. Tools. Automations. Agents.
Vibe coding is now. Vibe tuning is next.
The next step is shaping the intelligence inside what we build.
A general model is not right for every job.
Products and workflows often need a specific tone, format, skill, or way of working.
- Software
- Agents
- Devices
- Robots
- Research
- Operations
Why open-weight models?
They give you more control over the intelligence you use.
- Adapt it.
- Run it where you need it.
- Build it into your work.
Why create your own model?
When a general model is not good enough for the job.
- Your tone.
- Your format.
- Your knowledge.
- Your workflow.
- Your device.
Why fine-tuning?
Prompting asks again. Fine-tuning teaches a repeatable behavior.
Useful when a product or workflow needs the model to behave consistently.
Why StudioTune?
Fine-tuning is useful. The process is too difficult.
StudioTune makes it simple to shape a model for a real purpose.
How StudioTune works
- Describe the behavior.
- Try the change.
- Compare the result.
- Keep what works.
A guided workflow for shaping purpose-built intelligence.
StudioTune — Beta release
Open StudioTune ↗Founder, Ainfera
Hizrian Raz
Building the simplest way to shape the intelligence behind the work.
Innovation and Entrepreneurship from Singapore Management University and Babson College. 15 years in the finance industry.
People pay for a better model workflow.
- One personA local Desktop subscription.
- One teamShared experiments and review.
- One companyPrivate, controlled model workflows.
Local workflow → Shared workflow → Private workflow
- Choose the right model.
- Adapt it for a real purpose.
- Compare what changed.
- Keep the evidence.
Start with one builder. Grow into the team's model workflow.
Raising $3M
Build the product. Prove the workflow.
-
40%
Build the product
-
20%
Prove the workflow
-
15%
Find design partners
-
15%
Operate with discipline
-
10%
Reserve
Make model adaptation simple enough to use—and reliable enough to repeat.