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Services/Custom Models

Custom Models

Fine-tuning of custom AI models trained on your data

Models tuned to your domain, your data and your standards.

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The challenge

General-purpose models are impressive but generic. On specialised tasks they miss your terminology, ignore your rules, or fall short of the accuracy your process demands.

Overview

When off-the-shelf models fall short, we fine-tune and evaluate models on your data so they speak your domain, follow your rules and meet your accuracy bar. Everything is benchmarked so you can see the lift before it ships.

The outcome

Measurable accuracy gains on the tasks that matter to you.

What’s included

  • Use-case scoping and success metrics
  • Dataset preparation and labelling strategy
  • Fine-tuning, evaluation and benchmarking
  • Deployment with versioning and monitoring
  • Retraining plan as your data evolves

What Custom Models can do

The concrete things this delivers once it is running in your business.

Domain tuning

Models learn your terminology, formats and edge cases.

Policy alignment

Outputs follow your tone, rules and compliance constraints.

Benchmarking

Measured accuracy against a baseline so the gain is provable.

Specialised tasks

Classification, extraction or generation where general models underperform.

Versioned deployment

Models ship with versioning so changes are controlled and reversible.

Retraining plan

A clear path to refresh the model as your data evolves.

How we build it

A staged path so value is proven before the next investment.

  1. 1

    Define success

    We agree the metric and target before any training begins.

  2. 2

    Prepare data

    Dataset curation and labelling strategy that fits the task.

  3. 3

    Fine-tune

    Train and iterate against the agreed benchmark.

  4. 4

    Evaluate

    Independent evaluation against the baseline, reported honestly.

  5. 5

    Deploy and monitor

    Versioned rollout with monitoring and a retraining schedule.

Typical use cases

01

Domain-specific classification or extraction

02

Brand- and policy-aligned content generation

03

Specialised tasks where general models underperform

Frequently asked questions

Straight answers. If yours isn’t here, ask us.

Do we even need a custom model?

Often not — a well-configured general model is enough. We only recommend fine-tuning when benchmarks show it is the cheapest way to hit your accuracy bar.

How much data do we need?

It depends on the task. We assess what you have and design a labelling strategy to fill the gaps cost-effectively.

How do we know it is actually better?

We benchmark against a baseline and report the measured lift before deployment. No improvement, no ship.

Who owns the model?

You do, along with the data and evaluation set. There is no lock-in.

How is this priced?

Scoped to data preparation and training effort, quoted as a fixed engagement after scoping.

Related services

Data Analysis

Transform your data into actionable insights with AI

Computer Vision

OCR, object detection and intelligent video analysis

Language Processing

Text analysis, entity extraction and NLP classification

Interested in custom models?

Book a call and we’ll scope it against your processes and ROI — or email us directly.

Book a call hello@bizztor.com