LLM Fine-Tuning & LLMOps

Fine-Tune, Deploy & Scale Your LLMs

Our experienced LLM engineers fine-tune, evaluate, deploy and monitor large language models - reliably, securely and cost-effectively inside your own infrastructure.

LLM Fine-Tuning & LLMOps

LLM Fine-Tuning

LLM Fine-Tuning

LLM Fine-Tuning

LLM Fine-Tuning

LLM Fine-Tuning

LLM Fine-Tuning

LLM Fine-Tuning

LLM Fine-Tuning

LLM Fine-Tuning

LLM Fine-Tuning

LLM Fine-Tuning

What We Offer

LLM Fine-Tuning
& LLMOps Services

A working LLM demo is easy to produce; operating it reliably in production is not. Our experienced LLM engineers fine-tune models for your tasks and tone, evaluate them rigorously, and deploy them with the monitoring, versioning, cost control and security that production demands. The result is a model that performs consistently and that your team can manage with confidence.

Task-Specific Fine-Tuning
Task-Specific
Fine-Tuning
Model Evaluation & Benchmarking
Model Evaluation
& Benchmarking
Private Model Deployment
Private Model
Deployment
Monitoring & Optimisation
Monitoring
& Optimisation
why choose NeuralTrix AI
why choose NeuralTrix AI
Why Choose NeuralTrix AI

Production-Grade LLMs You Can Rely On

why-choose
Better Performance, Lower Cost

Expertly fine-tuned smaller models can match larger models on your tasks at a fraction of the running cost.

why-choose
Operational Reliability

Versioning, monitoring and automated evaluation keep your models stable in production.

Start Your Project

Deploy Anywhere, Monitor Everything

Our engineers fine-tune open models such as Llama and Mistral and deploy them on AWS, Azure, Google Cloud or on-premise GPU infrastructure.

Talk to an Expert
integrations
ai
Efficient Fine-Tuning

Techniques such as LoRA and parameter-efficient training adapt models to your tasks quickly and economically.

Discuss Your Needs
ai
LLMOps Pipelines

Automated evaluation, deployment, monitoring and rollback for every model version you release.

Discuss Your Needs

Enterprise Use Cases

Brand-Aligned Content Generation

Brand-Aligned Content Generation

Models fine-tuned on your approved communications to produce content that consistently reflects your brand voice, terminology and editorial standards.

  • Consistent brand voice across channels
  • Adherence to editorial and compliance guidelines
  • Accelerated content production cycles
Request a Consultation
Intelligent Document Data Extraction

Intelligent Document Data Extraction

Models trained to extract defined data fields from invoices, forms and reports, delivering accurate, structured output ready for your downstream systems.

  • Consistent, schema-validated output
  • Domain-specific field recognition
  • Reduced manual data entry and rework
Request a Consultation
Private, Cost-Optimised LLM Deployment

Private, Cost-Optimised LLM Deployment

Transitioning from third-party API dependence to a fine-tuned open-source model hosted within your own environment, strengthening data governance while lowering operating costs.

  • Reduced inference costs at scale
  • Complete data sovereignty
  • Predictable performance and latency
Request a Consultation
How It Works

How We Fine-Tune
& Operate Your LLMs

process
process
process
process
Goal & Baseline

Our specialists define target tasks and benchmark how existing models perform as a baseline.

Data & Fine-Tuning

We prepare high-quality training data and fine-tune the most suitable model.

Evaluation

We benchmark accuracy, safety, latency and cost against your requirements.

Deploy & Operate

We deploy with monitoring, versioning and alerts, and retrain as your needs evolve.

6+

Core AI Service Lines

10+

Industries We Build For

100%

Custom-Built Solutions

24/7

Autonomous AI Operation

Engagement Models

Flexible Ways to
Work With Us

Pilot

/ Proof of Concept

Validate the idea on your own data before committing to a full build.

Get a Quote

Use-case discovery workshop

Working prototype on sample data

Feasibility and value assessment

Roadmap to production

Recommended

Build

/ Production Solution

A secure, production-ready solution integrated with your systems.

Get a Quote

End-to-end design and development

Integration with your apps and data

Testing, evaluation and guardrails

Deployment and team handover

Scale

/ Ongoing Partnership

Continuous improvement, monitoring and support as your needs grow.

Get a Quote

Monitoring and performance tuning

Model and prompt updates

New features and use cases

Priority support

FAQ

Frequently Asked Questions

Fine-tuning is best when you need consistent style, structured output or specialised behaviour. For answering from changing documents, RAG is usually better - and the two can be combined.

LLMOps is the set of practices and tools for deploying, monitoring, evaluating, versioning and improving LLMs in production - similar to DevOps, but for AI models.

Often, yes. A smaller fine-tuned model can perform as well as a large general model on specific tasks, at a much lower cost per request.

Yes. We deploy on on-premise GPU servers or private cloud environments, with optimisation for speed and cost.
Proven Results

Related Case Studies

See how we have applied AI to solve real problems across industries.

Understanding the Customer Voice
Retail & Customer Experience
Understanding the Customer Voice

Aspect-level sentiment and emotion analysis of reviews and feedback, turned into actionable dashboards.

Read case study →
Faster Medical Image Diagnosis
Healthcare
Faster Medical Image Diagnosis

An explainable deep-learning system that flags likely diseases in X-rays and scans and shows doctors why.

Read case study →
Detecting Cyber Attacks Early
Cybersecurity
Detecting Cyber Attacks Early

Analyses network traffic to separate normal activity from attacks and raise security alerts in real time.

Read case study →

Related Articles

Insights from our team on building practical, industry-ready AI.

Let's Fine-Tune
Your LLM

Book Free Consultation