Advanced model engineering

Build smaller, faster, more capable AI.

Huyawo Solutions develops and optimizes language models for organizations that need precise capability, efficient inference, and practical deployment.

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LLM DevelopmentSLM DevelopmentFine TuningQuantizationDistillationModel EvaluationLLM DevelopmentSLM DevelopmentFine TuningQuantizationDistillationModel Evaluation

What we build

Model engineering, focused.

Every engagement is shaped around the model, the operating constraint, and the outcome that matters.

01

Custom LLMs and SLMs

Language model development for specific domains, workflows, deployment environments, and capability requirements.

02

Fine tuning

Model adaptation designed around your data, target behavior, evaluation criteria, and production constraints.

03

Quantization and distillation

Model compression work aimed at reducing memory and compute requirements while protecting the capabilities that matter.

04

Evaluation and delivery

Reproducible evaluation, documented decisions, and implementation artifacts prepared for the target environment.

Proprietary technology

Efficiency, built into the model.

Huyawo is our proprietary technology for efficiency in fine tuning, quantization, and distillation. It informs how we adapt and compress models for the requirements of each system.

Constraint driven

Architecture and optimization choices begin with the real operating environment.

Evidence based

Decisions are supported by evaluations that can be reviewed and reproduced.

Delivery ready

Outputs are organized for practical implementation, iteration, and technical review.

How we work

A clear path from constraint to model.

Step 01

Define the system

We establish the objective, model context, data conditions, target environment, and acceptance criteria.

Step 02

Engineer and evaluate

We implement the selected approach and measure it against the requirements that define success.

Step 03

Deliver with clarity

You receive the agreed technical artifacts, evaluation evidence, and written implementation guidance.

Start a conversation

Bring us the constraint.

Share the model, business objective, deployment environment, or performance requirement. We will review the context and respond in writing.