Applied AI & Agentic Systems

Foundation Model Integration & Fine-Tuning

Foundation models embedded in your products and operations, adapted to your domain where the evidence supports it.

Projects delivered
80+
Countries served
16
Global offices
4
Founded
2021

The challenge

Where teams get stuck

The problems we're most often brought in to solve.

  1. 01

    Inconsistent output structure

    Model responses vary in format, breaking the code and systems that depend on them.

  2. 02

    Generic tone and terminology

    Base models do not reliably apply your domain vocabulary, style or classification scheme.

  3. 03

    Provider lock-in

    Capabilities are bound to one provider's API, making it difficult to switch as pricing or quality changes.

Overview

Foundation Model Integration & Fine-Tuning at VulcanTech

LLM integration is the embedding of large language models into existing applications and back-office systems so they can summarise, extract, classify and draft. VulcanTech integrates foundation models into your products and operations and, where prompting alone falls short, fine-tunes models on your examples to improve consistency, tone or cost efficiency. Every integration includes evaluation, fallbacks and monitoring, so the capability behaves predictably in production.

Key deliverables

  • Integration architecture
  • LLM service layer and API
  • Fine-tuned model where justified
  • Evaluation report
  • Monitoring dashboard

What you get

What Foundation Model Integration & Fine-Tuning includes

  • Provider-agnostic integration layer

    A unified service layer with retries, timeouts, fallbacks and rate-limit handling across model providers.

  • Structured output design

    JSON schemas and validation so model output can be stored and processed reliably.

  • Domain fine-tuning

    Supervised fine-tuning or adapters trained on curated examples where prompting reaches its limits.

  • Model routing

    Simple requests routed to smaller, lower-cost models; complex requests to more capable ones.

  • Comparative evaluation

    Side-by-side scoring of prompts, base models and fine-tuned models on your own test set.

  • Production telemetry

    Latency, error rates, token usage and cost per capability tracked in production.

Our process

How we deliver

A delivery process you can see into — from first workshop to production support.

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  1. 01

    Discovery

    A focused working session on your objectives, constraints and existing systems. It concludes with a scoped proposal and a clear view of value, risk and effort.

  2. 02

    Architecture & planning

    We agree the target architecture, data model and integration approach before product code is written, and secure your sign-off.

  3. 03

    Iterative delivery

    Working software reaches a staging environment on a regular cadence, giving stakeholders continuous visibility and the ability to steer priorities.

  4. 04

    Assurance & hardening

    Automated testing, accessibility and performance budgets, and a security review are completed before anything reaches production.

  5. 05

    Launch & continuity

    We manage cutover and remain engaged through an agreed support period, with a structured handover to your teams or ongoing operation by ours.

Engagement models

Work with us the way that suits you

Explore engagement models →
  • Outcome-based delivery

    A defined scope, timeline and commercial model agreed after discovery. We own delivery risk against the agreed outcomes.

    Best for: Well-defined initiatives, MVPs and first releases

  • Dedicated product teams

    A cross-functional pod — engineering, design, QA and delivery leadership — aligned to your roadmap and scaled as priorities change.

    Best for: Long-term product development and evolving roadmaps

  • Team extension

    Senior engineers embed in your organisation, work inside your processes and report to your leaders — on contracts that assign all IP to you.

    Best for: Adding specialist capability without growing headcount

Tools & technologies

The stack we build with

  • OpenAI API
  • Claude API
  • Hugging Face Transformers
  • PyTorch
  • vLLM
  • LiteLLM
  • Python

Why VulcanTech

A partner, not a vendor

Senior engineering, honest delivery, and work we can name.

  • Senior engineers own delivery

    The engineers who scope your programme in discovery are the engineers who deliver it. There is no hand-off to a junior bench after contract signature.

  • Engagement models that fit

    Outcome-based delivery, dedicated product teams, team extension or global capability centres, matched to how your organisation prefers to work.

  • A verifiable track record

    Every customer story we publish describes real production work, naming the client wherever confidentiality allows, including public-sector platforms secured through competitive tenders.

  • 80+ projects in 16 countries

    Delivered since 2021 across the public sector, real estate, healthcare, manufacturing and consumer technology, for regulated and high-growth organisations alike.

FAQ

Frequently asked questions

Can't find what you need? Ask us in the discovery session.

Fine-tuning helps when you need consistent format, tone or domain-specific classification across high volumes, or when a smaller fine-tuned model can replace a larger one at lower cost. It does not reliably add new factual knowledge, which retrieval handles better. We test prompting first and fine-tune only when evaluation demonstrates a clear benefit.

Free discovery session

Start your Foundation Model Integration & Fine-Tuning project

Tell us what you're building. You'll hear back from an engineer, not an inbox.

  1. 1We reply within one business day to set up a 30-minute call.
  2. 2A senior engineer — not a salesperson — walks through your problem.
  3. 3You get a scoped proposal with timeline and cost. No obligation.

New projects & sales

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Existing clients & support

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Tell us about your project

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What do you need help with?
Estimated budget
When do you want to start?

We reply within one business day.