Applied AI & Agentic Systems

Generative AI & LLM Engineering

Enterprise generative AI grounded in your knowledge, evaluated rigorously and governed for production use.

Book a free discovery sessionSee our work
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

    Fluent answers that are wrong

    An LLM feature produces articulate but inaccurate responses, with no way to verify them against source material.

  2. 02

    Data exposure concerns

    Legal and security teams are cautious about sending customer or internal data to external model providers.

  3. 03

    Unpredictable cost to serve

    Token consumption grows with adoption, and no one can forecast what the capability will cost at full scale.

  4. 04

    No objective quality measure

    Prompt changes are judged on a few examples, so an improvement in one area quietly degrades another.

Overview

Generative AI & LLM Engineering at VulcanTech

Generative AI development is the engineering of applications that use large language models to answer, summarise, extract and draft from an organisation's own knowledge. VulcanTech builds assistants that answer from your documents, copilots embedded in your products and LLM features for core workflows. Our scope spans model selection, retrieval architecture, prompt and output design, evaluation and deployment, with disciplined attention to accuracy, data privacy and cost to serve.

Key deliverables

  • Use-case assessment and model benchmark
  • Production LLM application or capability
  • Retrieval pipeline and knowledge index
  • Evaluation suite with baseline results
  • Usage, cost and quality monitoring

What you get

What Generative AI & LLM Engineering includes

  • Model selection and benchmarking

    Hosted and open-weight models compared on your own tasks for quality, latency and cost before selection.

  • Retrieval-augmented generation

    Answers grounded in your documents and data, with citations so users can verify every source.

  • Prompt and output engineering

    Versioned prompts, structured outputs and validation make LLM responses consistent enough to build products on.

  • Evaluation pipelines

    Automated test sets and scoring run on every change to track accuracy, safety and regressions.

  • Privacy and safety controls

    PII redaction, content filtering, access controls and private deployment options for sensitive data.

  • Cost and latency optimisation

    Caching, streaming, model routing and batching keep responses fast and spend within budget.

Capabilities

Specialised Generative AI & LLM Engineering services

Our process

How we deliver

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

Book a free consultation
  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
  • Google Gemini
  • Llama
  • LangChain
  • LlamaIndex
  • pgvector
  • Azure OpenAI
  • AWS Bedrock
  • 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.

Customer stories

Proven delivery

All customer stories →

FAQ

Frequently asked questions

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

Hosted models from OpenAI, Anthropic or Google typically deliver the highest quality with the least operational overhead. Open-weight models such as Llama or Mistral, deployed in your own cloud, provide greater control over data residency and can reduce cost at high volume. We benchmark both on your task and recommend on the basis of quality, privacy requirements and expected usage.

Free discovery session

Start your Generative AI & LLM Engineering 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.