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AI & Automation

Generative AI Development Services

What is Generative AI?

Generative AI is a type of artificial intelligence that creates new content — text, answers, summaries, images or code — instead of only analysing existing data. It is powered by large language models (LLMs) trained on huge amounts of text, which learn how language works and can respond to plain-English instructions.

On its own, a model knows a lot about the world but nothing about your business. Generative AI development is the work of connecting it to your data, your systems and your rules, so it gives answers your team can actually use.

Contact How it works
Understands plain languageWorks on your dataCreates, summarises, answers

How it works

How Generative AI Works for Your Business

Every answer goes through the same path: your question, your data, the model and a set of checks — so the result is accurate, relevant and safe to use.

  1. You ask

    A user asks a question or gives a task in plain language.

  2. It finds

    The system searches your documents and data for the relevant information.

  3. It generates

    The language model writes an answer based on what was found.

  4. It checks

    Guardrails check access rights, accuracy and tone before anything is shown.

  5. You get

    A clear answer with its sources — ready to use, review or send.

What we provide

Generative AI Services We Provide

End-to-end generative AI development, from the first use case to a system your team uses every day.

  • AI Assistants & Copilots

    Chat assistants inside the tools your team already uses, answering from your company knowledge.

    • Internal helpdesk and HR assistants
    • Sales and support copilots
    • Slack, Teams and web chat

  • Document Search (RAG)

    Ask a question and get an answer from your own files, with the source shown every time.

    • Search across PDFs, wikis and drives
    • Answers with cited sources
    • Access follows your permissions

  • Content Generation

    Drafts, summaries, reports and product copy in your format and tone, reviewed before they go out.

    • Proposals and reports
    • Meeting and document summaries
    • Product descriptions at scale

  • Custom LLM Solutions

    The right model for your use case, tuned and tested, with quality and cost tracked.

    • Model selection and fine-tuning
    • Evaluation on real questions
    • Usage and cost monitoring

Technologies We Use

  • OpenAI
  • Claude
  • Gemini
  • Mistral
  • LangChain
  • Ollama
  • pgvector
  • Pinecone
  • Elasticsearch
  • Azure
  • AWS Bedrock
  • Vertex AI
  • AI ModelsOpenAI, Claude, Gemini, Mistral
  • Frameworks & RuntimesLangChain, Ollama
  • Vector Databasespgvector, Pinecone, Elasticsearch
  • CloudAzure, AWS Bedrock, Vertex AI

We choose the right model and tools for each project, based on quality, cost and where your data is allowed to go.

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Our process

Our Generative AI Development Process

A working version early, on your real data — then made accurate, secure and ready for everyday use.

  1. Discovery

    We understand your process, pick the use case with the clearest value and agree how success will be measured.

    • Use case
    • Data review
    • Success measure

  2. Prototype

    We build a working version on your data and test it against real questions from your team.

    • Working prototype
    • Test results

  3. Build & Integrate

    We add security, access control and logging, and connect it to the systems your team uses.

    • Production release
    • Integrations

  4. Launch & Support

    We monitor quality and cost after launch and keep improving it as usage grows.

    • Monitoring
    • Regular updates

Start here

Not sure where to start?

Tell us what slows your team down. We will look at your data, your tools and your constraints, and help you pick a first use case that is small enough to ship quickly and useful enough to prove the value.

Contact Explore use cases

Why Proponent

Generative AI Built to Run in Production

A demo is easy. What matters is the day it goes live: answers grounded in your data, security settled from the start, and one accountable team from first workshop to everyday use.

Countries Served
70+
Projects Completed
600+
Hours Support
24x7
Office Locations
5

  • Grounded in your data

    Every answer comes from your own documents and systems, with the source shown — not generic internet knowledge.

  • Secure by design

    Access control, full logging and providers that do not train on your data, agreed before any data moves.

  • One team, end to end

    The same people plan, build and support your solution, so nothing is lost between handovers.

  • The right model for the job

    We test more than one model and choose on quality and cost for your use case, not on habit.

  • Predictable costs

    Usage and spend are tracked and reported, so there are no surprises as adoption grows.

  • See it working on your own data.

    Share a few of your documents and a real question your team asks. We will show you what a first version could answer.

Start a project

Tell us what you are building

A few lines is enough to start. Tell us the problem, not the solution, and we will come back with the questions that shape the plan.

What happens next

  1. We read it properly

    Someone who would work on the project reads your note and comes back with questions, not a sales script.

  2. We scope it together

    One call to agree the problem, the constraints and what finished looks like — before anyone talks about price.

  3. You get a proposal

    Scope, sequence, timeline and cost, in writing, with the risks we would plan for named up front.

To learn more about how we protect your data, please refer to the Proponent privacy policy.

Next step

Your Partner For What Comes Next. Let's Start The Conversation.

Starting is the easy part. Tell us where you are and what you are trying to reach, and we will map the route — the scope, the sequence, and the risks worth planning for now rather than later. From that first conversation through build, launch and everything after, the same team stays with it.

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