AI Integration & LLM Development

AI Integration and LLM Development Services for Web Applications

Practical AI in your product — assistants, document understanding, search over your own content, and OCR or classification pipelines built with Python and modern LLM APIs.

AI assistant interface beside the retrieval pipeline code that answers from company documents

AI That Answers From Your Data, Not From Guesswork

Most useful AI work in a business application is not a chatbot bolted onto a home page. It is narrower and far more valuable: answering customer questions from your own documentation, reading invoices or forms and turning them into structured records, drafting replies a human approves, classifying and routing incoming enquiries, or making a large archive genuinely searchable in plain language.

The pattern behind most of it is retrieval-augmented generation. Your content is chunked, embedded and stored in a vector database; a question retrieves the most relevant passages; the model answers using those passages and cites them. That keeps answers grounded in your material and dramatically reduces invention — and when the system does not know, it should say so, which we build in deliberately.

We deliver this as production software, not a demo: a Python or Node service with evaluation on a fixed question set so you can measure quality, cost and latency budgets per request, caching, rate limiting, prompt-injection defences, human review where the stakes justify it, and the option of a self-hosted model with Ollama where data cannot leave your infrastructure.

What’s Included

What We Build with AI

  • Assistants Grounded in Your Content

    Support and sales assistants that answer from your documentation, policies and product data — with citations and a handover to a human.

  • Retrieval & Semantic Search

    Vector search over your documents, tickets or catalogue so people find answers by meaning rather than keywords.

  • Document Understanding & OCR

    Invoices, forms, contracts and scans turned into structured, validated records with a review queue for low-confidence cases.

  • Classification & Routing

    Automatic tagging, prioritisation and routing of enquiries, tickets and content, with rules you control.

  • Content & Drafting Tools

    Internal tools that draft replies, summaries and descriptions in your tone, always with a person approving before it is sent.

  • Evaluation, Guardrails & Cost Control

    Test sets to measure answer quality, injection defences, token budgets, caching and fallbacks when a provider is down.

Benefits

How We Keep AI Projects Honest

  • Answers grounded in your own content, with sources shown and "I don’t know" allowed.
  • Measured quality: a fixed evaluation set, so improvements are demonstrated, not claimed.
  • Predictable spend through token budgets, caching and model selection per task.
  • Provider-neutral design — swap between API models or a self-hosted one without a rewrite.
  • Human review kept in the loop wherever a wrong answer would cost you money or trust.

Technologies Used for AI Integration & LLM Development

  • Python
  • FastAPI
  • Node.js
  • Claude API
  • OpenAI API
  • Gemini API
  • Ollama (self-hosted)
  • LangChain / LlamaIndex
  • Qdrant / Pinecone / Weaviate
  • pgvector
  • Hugging Face
  • Tesseract & document OCR

We recommend the right tools for your goals, budget and team — never a one-size-fits-all stack.

Discuss Your Project

How We Work

Our AI Integration & LLM Development Process

  1. Discovery & Consultation

    We learn about your business, audience and goals, review any existing website and agree on clear success criteria.

  2. Strategy & Planning

    We define the sitemap, features, technology stack and timeline, so scope and budget are clear before work begins.

  3. UI/UX Design

    We design wireframes and polished, responsive layouts for your approval, focused on usability and conversions.

  4. Development

    We build with clean, standards-based code, integrate your tools and set up an easy-to-use content editor.

  5. Testing & QA

    We test functionality, speed, security, accessibility and SEO across browsers and devices before launch.

  6. Launch & Support

    We deploy, monitor and fine-tune your site, then provide ongoing maintenance and support as you grow.

FAQ

AI Integration & LLM Development FAQs

Will the AI make things up about our business?

That is the main risk, and the reason we use retrieval: the model answers from passages fetched out of your own content and cites them, and is instructed to say it does not know rather than guess. We then measure that behaviour against a fixed test set before launch.

Does our data get used to train someone else’s model?

Not with the business API tiers we use, which exclude customer data from training by default. Where your policy or regulator requires it, we deploy an open-weight model on your own infrastructure so nothing leaves your network.

What does it cost to run?

Usually far less than expected — a grounded assistant answering a few thousand questions a month typically costs tens of dollars, not thousands. We set token budgets, cache repeated queries and pick a smaller model per task, then report actual usage.

Can you add AI to our existing website or app?

Yes. In most cases we build a separate service with its own API and connect it to your current site, so your existing stack is untouched and the AI component can be changed or removed independently.

Where does AI not make sense?

Where a deterministic rule, a search index or a well-designed form would do the job more cheaply and predictably. We will say so — an AI feature nobody uses is worse than no feature.

Explore More

Technologies and services that work well alongside ai integration & llm development.

  • Cloud Hosting & DevOps

    AWS, Azure, Google Cloud and DigitalOcean setup, Docker and Kubernetes, CI/CD pipelines, Nginx tuning, monitoring, backups and cost optimisation.

  • Database Development

    Schema design, query and index tuning, migrations and search infrastructure across MySQL, PostgreSQL, MongoDB, Redis and Elasticsearch.

  • Custom Web Development

    Bespoke websites and web applications engineered around your workflows — fast, secure, and built to scale with your business.

  • Front-End Development

    Pixel-accurate, accessible front ends built from your designs with HTML5, CSS3, JavaScript, Tailwind or Bootstrap — responsive on every device.

AI Integration & LLM Development Enquiry

Tell Us About Your AI Project

Tell us what the AI has to do, what content it should answer from and how sensitive the data is — that decides the design more than anything else.

  • Reply within 24 hoursA real person reviews every request.
  • Free consultationHonest advice, no obligation.
  • 100% confidentialHappy to sign an NDA.

What happens next?

  1. We review your requirements
  2. We reply with questions or a call slot
  3. You receive a clear, itemised proposal
1 Your project
2 AI Integration & LLM Development requirements

Your AI project

What should it do? (select all that apply)
What should it answer from? (select all that apply)
Data sensitivity
Should a human approve AI output?

Project scope

Who will use it? (select all that apply)

Technology

Preferred technology (select all that apply)
Requirements / documentation

Integrations & hosting

Integrations needed (select all that apply)
Design / UI
Hosting / deployment
3 Budget & timeline
4 Your details

Tick the box and answer one quick question.