LLM & Model Training
Custom LLMs fine-tuned on your data — because generic ChatGPT answers lose you deals.
3-8 weeks per model
Typical timeline
100%
IP ownership to you
30 days
Post-delivery support
The Problem
Why Most Software Projects Miss the Mark
The problem isn't the technology — it's misaligned expectations, hidden scope creep, and code that ships but can't be maintained.
How CodeAir Solves It
With LLM & Model Training, we set expectations before we start. You get weekly demos, clear scope management, and code your team can own forever.
Vague project scopes that grow mid-build and blow past budget.
Offshore agencies that deliver working software but code your team can't maintain.
Missing tests and documentation that make every future change risky.
Lack of transparency during development — progress reports replace actual demos.
Our Approach
How We Deliver This Service
Use Case Definition
Identify the specific tasks the LLM needs to perform, success criteria, and data requirements.
Data Preparation
Curate, clean, and format training data; set up vector database and embedding pipeline for RAG.
Fine-Tuning & Evaluation
Fine-tune base model(s), evaluate against baselines, iterate on hyperparameters.
Ready to Get Started with LLM & Model Training?
We scope within 48 hours. No commitment required for the initial consultation.
Capabilities
What's Included in LLM & Model Training
LLM fine-tuning (GPT, Claude, Gemini, LLaMA)
A core deliverable of our LLM & Model Training service — engineered to production standards.
RAG pipeline design & deployment
A core deliverable of our LLM & Model Training service — engineered to production standards.
Vector database setup (pgvector, Pinecone, Weaviate)
A core deliverable of our LLM & Model Training service — engineered to production standards.
Prompt engineering & optimization
A core deliverable of our LLM & Model Training service — engineered to production standards.
Model evaluation frameworks
A core deliverable of our LLM & Model Training service — engineered to production standards.
Cost optimization strategies
A core deliverable of our LLM & Model Training service — engineered to production standards.
Our Approach
How We Approach LLM & Model Training
We fine-tune and deploy LLMs (GPT, Claude, Gemini, LLaMA, Mistral) for domain-specific use cases where generic models fall short — legal document analysis, medical report summarization, technical support triage, and internal knowledge base Q&A.
Our approach goes beyond just calling an API. We handle prompt engineering, RAG (Retrieval-Augmented Generation) pipeline design, vector database setup, embedding strategy, evaluation frameworks, and cost optimization so you're not burning thousands in API calls for avoidable reasons.
For clients with strict data sovereignty requirements, we deploy open-source models (LLaMA, Mistral) on their own infrastructure, ensuring no data ever leaves their environment.
Engagement Details
Pricing & Timeline
Pricing Model
Engagement-based. Fine-tuning: fixed scope. RAG pipeline: milestone-based. Ongoing retainer for monitoring.
Typical Timeline
3-8 weeks per model
Ideal For
Built For Teams Like Yours
Engagement Models
Three Engagement Models. One Delivery Standard.
Fixed-Scope Project
Best for: Defined deliverables
Clear scope, fixed timeline, fixed cost. Ideal when you know exactly what you need and want predictable delivery.
Sprint Retainer
Best for: Ongoing development
A monthly block of engineering capacity. You direct the roadmap, we ship the features. Scales up or down monthly.
Team Extension
Best for: Scaling your team
Senior engineers embedded in your team. You keep full roadmap control while we handle execution.
Why CodeAir
Why Choose CodeAir?
No Over-Engineering
We build what you need, not what looks impressive in a tech talk. Pragmatic decisions over trendy patterns.
Predictable Delivery
We scope before we start. If something changes mid-project, we tell you immediately — not at the deadline.
Codebase You Can Own
Clean, documented, tested code. Your internal team can take it over without a six-month onboarding.
Senior Engineers Only
No juniors learning on your budget. Every engineer who works on your project has production experience.
Direct Communication
No account managers or middlemen. You talk directly to the engineers building your product.
IP Fully Yours
Every line of code, every API key, every cloud resource — yours. We hand over everything at project close.
FAQ
Common Questions About LLM & Model Training
For most LLM & Model Training engagements, 3-8 weeks per model. We always scope the timeline before we start so you know exactly what to expect.
Engagement-based. Fine-tuning: fixed scope. RAG pipeline: milestone-based. Ongoing retainer for monitoring.
A brief description of what you want to build, your rough timeline, and any technical constraints you know about. We'll gather the rest in the scoping call.
Yes. We integrate with Slack, Jira, Linear, GitHub — whatever your team already uses. We don't force our tooling on you.
We assess the impact on timeline and cost, communicate it clearly, and agree on the adjustment before proceeding. No surprise invoices.
Yes. Every project includes a 30-day support window. We also offer ongoing retainer arrangements for clients who want continued development.
You own 100% of the intellectual property from day one. All code, design assets, API configurations, and deployment setups are transferred directly to you.
We communicate transparently using Slack and daily logs, host weekly progress demos, and give you direct access to development branches.
Yes. You can scale the dedicated resource block up or down with a standard 14-day notice as your development roadmap priorities shift.
We sign mutual NDAs before technical scoping starts. Our engineering environments follow strict security controls (GDPR/SOC 2 and secure IAM variables).
Interested in LLM & Model Training?
Tell us about your project and we'll send a scoped estimate within 24 hours. Honest scope, honest cost, no sales pressure.