Behavior built
for your task.
Fine-tuning can adapt an existing model to domain language, task patterns, and the output formats your workflow needs.
CUSTOM MODEL DEVELOPMENT
Custom AImodels.
We adapt and optimize models for your business.
Your tasks. Your data. Your deployment.
PURPOSE-BUILT INTELLIGENCE
SHAPED AROUND YOUR TASK.
SHAPED AROUND YOUR TASK.
ZARO CORE
YOUR MODEL. YOUR WORLD.
YOUR MODEL. YOUR WORLD.
YOUR TASK. OUR STARTING POINT.Explore custom models
01 / CUSTOM MODEL DEVELOPMENTBUILT AROUND YOUR BUSINESS
Your task.
Your model.
A general-purpose model is a starting point. We adapt it to the work you need it to do.
We build on established models, using your requirements and suitable data to shape model behavior, evaluate results, and plan deployment. Fine-tuning changes the model itself; connecting documents through retrieval is a separate option.
Behavior built
Test against
real examples.
Agree on success criteria, compare with a baseline, and evaluate on examples kept separate from training.
Fit the place
it will run.
Balance quality, speed, and memory for your target hardware. Local deployment is an option where the task and device support it.
02 / THE DEVELOPMENT PROCESSA CLEAR SCOPE. A MEASURABLE RESULT.
From your task
to your model.
Define the task.
Map the use case, available data, deployment constraints, and what a good result looks like. Choose a suitable base model and approach.
Adapt and evaluate.
Prepare appropriate data, run the agreed adaptation work, and compare results with the baseline. Use evaluation findings to guide improvements.
Prepare for deployment.
Optimize for the agreed environment and hand over the model or adapter, evaluation findings, and deployment guidance defined in the project scope.
03 / WHAT YOU RECEIVESCOPED TO YOUR PROJECT
More than weights.
A usable model.
ZARO
MODELWeights / adapterEVALResultsRUNTIMEDeploymentADAPTED TO YOUR TASK
YOUR PROJECT SCOPEThe model and configuration agreed for your project.
04 / MODELS IN APPLICATIONExplore applications
The model is a start.
Put it to work.
Atlas shows how a model, knowledge,
and an agent interface come together.
One application of the Zaro approach.
ATLAS / INTERACTION PREVIEWOn-device
What is Atlas built for?
ATLAS
Reference and retrieval, wherever your work takes you. An agent that brings useful knowledge closer—without sending every question to the cloud.
↳ Local knowledge · Private by designIllustrative conversation · no AI inferenceDiscover Atlas
Have a different task?
Let’s scope the model behind it.
05 / READY-TO-USE MODEL SELECTIONSSEPARATE FROM CUSTOM DEVELOPMENT
Open models.
Ready to explore.
These are curated upstream models,
not Zaro-trained or client-specific models.
Custom development is a separate project.
These downloads retain their upstream model identities and licenses. Sizes shown are download sizes, not total memory requirements; compatibility depends on the device and configuration.