AI Model Training & Fine-Tuning
From data curation to fine-tuning to evaluation, we deliver models measurably tuned to your business and back the gains with evidence.
Talk to an AI engineer
Anyone Can Fine-Tune. Few Can Prove It Got Better.
Custom AI models, built and proven for your domain. Most teams point a script at a dataset, watch the loss drop, and ship — then the model misbehaves on real inputs, or turns out no better than the base model, with no evaluation setup to even tell. We do it the disciplined way: establish a baseline, curate the data that actually moves the needle, pick the right technique, and benchmark every result before anything ships. You get a model that's measurably better, with the proof to back it.
The Numbers Behind Our Engineering
What We Engineer in Model Training & Fine-Tuning
Training data curation and labeling
The single biggest lever on model quality.
Base model selection
Open or closed, sized to your task, budget, and privacy needs.
Supervised fine-tuning (SFT)
Task and domain specialization done right.
Parameter-efficient tuning
LoRA, QLoRA, and PEFT for fast, affordable iteration.
Preference tuning
RLHF and DPO to align outputs with human judgment.
Hyperparameter optimization
Systematic, not guesswork.
Evaluation harness and benchmarking
The asset that proves the model improved.
Bias, safety, and regression testing
So a gain in one area isn't a loss in another.
Secure deployment
Self-hosted or cloud, with the weights staying yours.
How We Deliver
Frame and baseline — define the task, the success metric, and a measurable starting point.
Data curation — gather, clean, and label the data that matters.
Train — apply the right technique (SFT, LoRA/QLoRA, or preference tuning).
Evaluate — benchmark against the baseline, plus bias and regression checks.
Deploy and monitor — ship securely and watch real-world performance.
Not sure fine-tuning is even the right move? We'll tell you honestly — sometimes better data or retrieval wins for far less cost.
Book a free model assessmentWays to Work With Us
Fixed-scope project
A defined training or fine-tuning deliverable, priced up front.
Dedicated AI pod
An embedded team for ongoing model work.
Staff augmentation
Senior ML talent inside your team.
Model audit and evaluation
An independent read on whether your model is actually good.
Our Training & Fine-Tuning Stack
Case Studies That Prove It
GenAI Data Analytics & Query Engine
AI-Powered Legacy Code Modernization
Industries We Cover
Healthcare & Life Sciences
Domain-tuned models for clinical text, coding, and diagnostics.
Banking, Financial Services & Insurance
Fine-tuned models for risk, compliance, and document analysis.
Retail & eCommerce
Tuned recommendation, search, and product-content models.
Legal & Compliance
Models specialized on contracts, policies, and regulatory language.
Manufacturing
Models tuned on technical manuals, defects, and process data.
Public Sector
Secure, self-hosted models for sensitive government data.
Why Teams Choose QSS for Model Training
Evaluation-first
We prove improvement with numbers, not vibes.
Data discipline
We invest where quality actually comes from: the dataset.
Secure and self-hosted
Train on sensitive data without it leaving your walls.
CMMI Level 5 + ISO 27001 delivery
Mature process and security.
Honest advice
We'll steer you away from fine-tuning when it isn't worth it.
You own the weights
Full IP and model ownership, always.
Frequently Asked Questions
How much does a fine-tuning project cost?
It depends on scope, and data preparation is usually the biggest driver — not the training run itself. We scope and price each engagement up front, with no open-ended billing.
How long does it take?
A focused fine-tune with a proper evaluation harness typically takes weeks, depending on data readiness and how many iterations the target quality needs.
Should we fine-tune, use RAG, or just improve prompts?
It depends on the problem. Prompting and retrieval solve many cases faster and cheaper; fine-tuning wins for consistent style, format, or domain behavior. We assess and recommend honestly before any training spend.
Do we own the fine-tuned model and weights?
Yes, entirely. They're yours on delivery, and we can deploy them in your environment.
How do we start?
With a free model assessment. We then propose scope, data needs, timeline, and an engagement model.
Can you train on sensitive or regulated data?
Yes. We support secure, self-hosted training so data never leaves your environment.
Let's Build a Model You Can Trust.
Tell us the task, and we'll map the right approach, the data you'll need, and how we'll prove it works.
Book a free model assessment