Engineering Solutions
Model Training

Model Training & Fine-tuning

Transform base AI models into domain experts that understand your business, your data, and your unique requirements

Take foundation models like GPT-4, Claude, or Llama and fine-tune them on your proprietary data to create specialized AI systems that outperform generic solutions. Our engineers handle the entire training pipeline from data preparation to deployment.

Duration6-12 weeks
Investment$50,000 - $200,000
Best forOrganizations with unique domain knowledge or specialized use cases where generic models fall short

THE CHALLENGE

Sound familiar?

Generic AI models don't understand our industry terminology or context

Off-the-shelf solutions produce inconsistent or inaccurate results

We have valuable proprietary data but no way to leverage it in AI systems

Our use case requires specialized knowledge that base models don't have

We need AI outputs that align with our brand voice and standards

Trusted by enterprises across Southeast Asia

Financial Services
Healthcare
Education
Manufacturing
Professional Services
Government

Every solution is custom-built

We don't use templates or one-size-fits-all approaches. Your solution is designed from the ground up based on your specific requirements, infrastructure, and business objectives.

100%
Custom Code
Your
Infrastructure
Full
Ownership
Discuss Your Requirements

OUTCOMES

What you'll achieve

Problems you'll solve

  • Domain-specific model that understands your industry context
  • Improved accuracy and relevance for your specific use cases
  • Custom outputs that match your style, tone, and requirements
  • Proprietary AI advantage built on your unique data
  • Reduced hallucinations and errors in production systems

Value you'll gain

  • 10-50% improvement in model accuracy for domain-specific tasks
  • Faster time-to-value with pre-trained models
  • Competitive advantage through proprietary AI capabilities
  • Better user experience with contextually relevant outputs
  • Reduced reliance on expensive API calls through efficient fine-tuned models

OUR PROCESS

From requirements to production

Phase 1
Discovery
1-2 weeks

Understand Your Challenge

Deep dive into your requirements, existing systems, data landscape, and success criteria. We identify constraints, opportunities, and the right technical approach.

What you get
Technical requirements documentArchitecture optionsFeasibility assessment
Phase 2
Design
2-3 weeks

Architect the Solution

Create detailed technical designs, data models, and integration plans. We prototype critical components to validate the approach before full build.

What you get
System architectureData flow diagramsAPI specificationsWorking prototype
Phase 3
Build
4-12 weeks

Iterative Development

Agile development with regular demos and feedback cycles. You see progress every sprint and can adjust priorities as we learn together.

What you get
Working softwareTest suitesDocumentationTraining materials
Phase 4
Deploy
1-2 weeks

Launch & Handoff

Production deployment with monitoring, alerting, and runbooks. Complete knowledge transfer ensures your team can operate and extend the system.

What you get
Production deploymentOperations guideTeam trainingSupport transition

TECHNICAL APPROACH

Built to enterprise standards

Modern Architecture

Built on proven frameworks with clean, maintainable code that your team can extend.

Data-First Design

Robust data pipelines and storage solutions optimized for AI/ML workloads.

Enterprise Security

Security-by-design with encryption, access controls, and compliance built in.

Performance Optimized

Engineered for speed and scale, from prototype to production.

Version Controlled

Full Git history, CI/CD pipelines, and automated testing from day one.

Cloud Agnostic

Deploy anywhere - AWS, Azure, GCP, or your private infrastructure.

What you'll receive

  • Fine-tuned model optimized for your use case
  • Training dataset preparation and quality validation
  • Model evaluation report with benchmark comparisons
  • Deployment configuration and infrastructure setup
  • Model versioning and update procedures
  • Performance monitoring dashboards
  • Technical documentation and API integration guide

Best for

Organizations with unique domain knowledge or specialized use cases where generic models fall short

IS THIS RIGHT FOR YOU?

Finding the right fit

This is ideal for you if...

  • You have domain-specific data (>1,000 quality examples)
  • Generic models consistently underperform for your use case
  • You need outputs that match specific style or compliance requirements
  • Your industry has specialized terminology or knowledge
  • You want a proprietary AI capability as a competitive advantage

Consider another option if...

  • You're just getting started with AI (try training programs first)
  • You don't have quality training data available
  • Generic models already meet your accuracy requirements
  • Your use case changes frequently (making training inefficient)
  • Budget constraints prevent investment in custom engineering

See yourself in the list above?

Let's Talk

EXPLORE MORE

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COMMON QUESTIONS

Frequently asked

Ready to explore Model Training & Fine-tuning?

Let's discuss how this solution can help your organization achieve its AI ambitions.

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