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Model Fine-Tuning & Optimization

AI models optimized for your business, not the benchmark.

Fine-tune models around your domain and data, then optimize your model portfolio for the performance, cost, control, and infrastructure your business requires.

Pick any model. We stay agnostic, you stay in control.
ChatGPT
Claude
Gemini
Grok
Llama
Qwen
Mistral
Why model strategy

One model should not do everything.

The most powerful model is not always the right model.

Different tasks have different requirements for reasoning, speed, accuracy, cost, security, and control. Yet many organizations default to the same frontier models across every use case.

We help you build a model strategy around your business, then tune and orchestrate the right models for the right work.

Requirements that differ by task
Reasoning
Speed
Accuracy
Cost
Security
Control

Two ways we optimize your model strategy.

01 Specialize

Fine-Tuning & Model Specialization

Make models work more like your business.

Open base model
General capability
Your domain and data
Terminology, workflows, proprietary knowledge
Specialized model
Runs where you need it, under your control

We fine-tune and specialize open models around your domain, proprietary data, terminology, and workflows.

The result is a model designed for your specific environment, with greater control over how and where it runs.

Best when you need
  • Deeper performance on specialized domain tasks
  • Greater control over models, data, security, and deployment
  • Models tailored to proprietary knowledge and workflows
  • An alternative to relying exclusively on frontier APIs
02 Optimize

Model Portfolio Optimization

Use the right model for the right job.

Routine Small
Domain work Specialized
Hardest steps Frontier
Capability engaged per task class. Higher-capability models step in only when the task calls for them. Illustrative.

We evaluate the models behind your AI systems and determine where different models, architectures, and routing strategies can improve quality, speed, and economics.

That can mean routing each task to the model that best fits its complexity, performance requirements, and cost, or combining multiple models so higher-capability models step in only when needed.

Best when you need
  • Better AI economics as usage scales
  • More efficient token consumption
  • Faster performance for high-volume workloads
  • A multi-model architecture instead of a one-model-fits-all approach

Optimized for what matters to your business.

There is no universally best model. The right choice depends on what you are trying to accomplish.

Quality

The reasoning and accuracy the task requires.

Cost

The model and token economics that make AI sustainable at scale.

Speed

Latency and throughput that match how your systems are used.

Control

The ownership, customization, security, and data requirements your business demands.

Infrastructure

Your cloud, architecture, deployment model, and existing AI stack.

Our approach

How we turn model sprawl into an optimized portfolio.

01
Evaluate

Benchmark your models, use cases, performance, and economics.

02
Specialize

Fine-tune models where domain-specific performance creates an advantage.

03
Orchestrate

Route each task, or the hardest parts of a task, to the model best suited to handle it.

04
Optimize

Continuously measure quality, latency, token usage, and cost as your AI systems evolve.

When model optimization creates the most value.

This work is especially valuable when:

AI usage and token costs are growing quickly

Security or data requirements demand greater control over deployment

Teams are using expensive frontier models for nearly every task

Multiple models are already in production without a clear strategy

Generic models struggle with your industry's terminology or domain knowledge

You want to determine where open models can complement or replace proprietary models

AI is all we do.

HatchWorks AI is a pure-play AI partner with expertise across frontier, open, and specialized models.

Our experience across leading AI ecosystems allows us to select technology based on what is right for your business, not a single vendor.

Our senior AI practitioners work inside your environment to tune, integrate, and optimize models around your data, infrastructure, security requirements, and economics.

Built for real-world AI economics.

COX DIRECTV Stanley Black And Decker Kimberly Clark Viasat Rollins Charter Anthem Hinge Health Trueblue Pwc Diebold Nixdorf
Clutch

Ranked #1 AI Services Company

Inc.

AI Power Partner, 2023–25

Clutch

Top Machine Learning Company, 2024–25

Global Gen AI Awards

#1 Generative AI Provider

Clutch
4.9 average from 29 client reviews

Get more from every model and every token.

Build a model portfolio optimized for your business, your infrastructure, and your economics.