Get a tailored AI product — from RAG pipelines and fine-tuned LLMs to custom GPTs and AI agents — built by a London-based full-stack AI development team that turns complex requirements into production-ready solutions.
I Will Build Custom Gen AI Solutions, LLMs, RAG and AI Chatbots
A focused, entry-level AI product built to your core requirements.
- Basic AI product built to your stated requirements
- OpenAI or custom LLM integration
- RAG pipeline or custom GPT implementation (as scoped)
- Document-based chatbot capability (if required)
- Delivered as a working, testable solution
- 2 rounds of revisions included
A more developed AI solution with extended scope and additional revision rounds.
- Everything in Starter, with expanded project scope
- More complex LLM application or agent architecture
- LangChain or LlamaIndex pipeline integration
- SQL and/or vector search (e.g. Pinecone) connectivity
- Custom GPT Actions or multi-step AI agent logic
- 4 rounds of revisions included
A comprehensive, end-to-end AI platform covering full-stack development and advanced AI capabilities.
- End-to-end AI platform: web app, mobile app and AI layer
- Fine-tuned LLM using LoRA or QLoRA on your dataset
- Synthetic data generation and dataset creation for fine-tuning
- Full RAG pipeline with vector search and SQL integration
- Autonomous AI agents with custom actions and integrations
- Unlimited revisions until fully approved
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Value Position
AI Stack
Model Training Depth
Starter Delivery
Solution Scope
What You'll Receive
Full Description
If your business is ready to harness the genuine power of artificial intelligence — not just a wrapper around a generic chatbot — you are in the right place.
Zinn Digital is a London-based AI and full-stack development team specialising in building bespoke, production-grade AI products. Whether you need a retrieval-augmented generation (RAG) pipeline that answers questions from your private documents, a fine-tuned language model trained on your own data, a custom GPT with tailored actions, or a fully autonomous AI agent, this service delivers a working solution built precisely around your requirements.
**What We Build**
— OpenAI integrations and custom LLM applications
— Custom GPTs and GPT Actions connected to your systems
— RAG pipelines using LangChain and LlamaIndex
— Fine-tuned models with LoRA and QLoRA techniques
— Synthetic data generation and dataset creation for fine-tuning
— SQL and vector search integrations (including Pinecone)
— AI agents capable of autonomous multi-step reasoning
— Document-based chatbots that query your private files without relying on third-party APIs
— End-to-end AI platforms with web and mobile front-ends
**How It Works**
Once your order is placed, share your project requirements via the order chat. The team reviews your brief, asks any clarifying questions upfront, and confirms the scope before development begins. You receive a working AI product, tested and ready to deploy, delivered within the agreed timeframe. Revisions are included to ensure the output meets your expectations.
**Who This Is For**
This service suits founders, product teams, enterprises and technical leads who need AI built properly — not a no-code toy, but a real, scalable, maintainable solution. It is equally suited to those who want a quick proof-of-concept at the entry tier and those who need a comprehensive, deeply integrated AI platform at the premium tier.
**Why Zinn Digital**
The team combines deep expertise across the modern AI stack — OpenAI, LangChain, LlamaIndex, vector databases, fine-tuning pipelines — with full-stack engineering capability. Clients describe the experience as seamless, noting that requirements are thoroughly understood before a single line of code is written. Based in London, the team brings both technical precision and clear communication to every engagement.
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Compare Packages
| Feature | Starter | Boost | Premium |
|---|---|---|---|
| Delivery Time | 10 days | 14 days | 30 days |
| Revisions | 2 | 4 | unlimited |
| Basic AI product built to your stated requirements | ✓ | ✕ | ✕ |
| OpenAI or custom LLM integration | ✓ | ✕ | ✕ |
| RAG pipeline or custom GPT implementation (as scoped) | ✓ | ✕ | ✕ |
| Document-based chatbot capability (if required) | ✓ | ✕ | ✕ |
| Delivered as a working, testable solution | ✓ | ✕ | ✕ |
| 2 rounds of revisions included | ✓ | ✕ | ✕ |
| Everything in Starter, with expanded project scope | ✕ | ✓ | ✕ |
| More complex LLM application or agent architecture | ✕ | ✓ | ✕ |
| LangChain or LlamaIndex pipeline integration | ✕ | ✓ | ✕ |
| SQL and/or vector search (e.g. Pinecone) connectivity | ✕ | ✓ | ✕ |
| Custom GPT Actions or multi-step AI agent logic | ✕ | ✓ | ✕ |
| 4 rounds of revisions included | ✕ | ✓ | ✕ |
| End-to-end AI platform: web app, mobile app and AI layer | ✕ | ✕ | ✓ |
| Fine-tuned LLM using LoRA or QLoRA on your dataset | ✕ | ✕ | ✓ |
| Synthetic data generation and dataset creation for fine-tuning | ✕ | ✕ | ✓ |
| Full RAG pipeline with vector search and SQL integration | ✕ | ✕ | ✓ |
| Autonomous AI agents with custom actions and integrations | ✕ | ✕ | ✓ |
| Unlimited revisions until fully approved | ✕ | ✕ | ✓ |
Portfolio
Examples of the seller's work related to this Zinn.
Build Custom Gen AI Solutions, LLMs, RAG and AI Chatbots
Build Custom Gen AI Solutions, LLMs, RAG and AI Chatbots
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Frequently Asked Questions
The more detail you can share about your requirements, the better — but you do not need a fully formed technical specification. Describe what you want the AI to do, any data or documents it should work with, the platform it needs to run on, and any existing systems it should connect to. The team will review your brief and ask clarifying questions before development begins to make sure everything is captured correctly.
Yes. The Premium tier covers full end-to-end development — front-end, back-end and AI integration — across web and mobile. The team handles the entire stack, from UI through to the underlying AI models and data pipelines.
Yes. Custom GPTs with tailored actions can be integrated into your website or mobile application. This is available across tiers depending on the complexity of the integration required.
Yes. A document-based chatbot using a RAG pipeline can be built to reference your own private files. This can be implemented in a way that does not route your data through third-party APIs, keeping your documents secure and private.
Fine-tuning trains a language model on your own dataset so it learns your specific domain, tone or knowledge base. This includes dataset creation, data preparation and training using LoRA or QLoRA techniques. It is included in the Premium tier due to the time and compute involved.
Revisions are requested through the order chat. Each revision round covers amendments to the delivered work based on your feedback. The Starter tier includes 2 rounds, Boost includes 4, and Premium includes unlimited revisions until you are satisfied with the result.
The Starter tier is ideal if you have a clearly defined, focused requirement. If your project involves multiple components, integrations or a more complex architecture, the Boost or Premium tier will be more appropriate. When in doubt, share your requirements and the team can advise via the order chat before you commit.
Yes. Solutions can be architected to run entirely on private or self-hosted models, keeping your data within your own infrastructure. Discuss this requirement upfront and it will be factored into the technical approach.
Customer Reviews
See what our customers say about this Zinn
Very good service from the team.
Great experience as always, I would recommend working with Ahmad without hesitation for a premium service.
Everything was perfect, Ahmad and his team did a great job. We worked with them to build a web app with a map that dynamically displayed areas using filters. Really excellent!
Thanks, I'm happy to work with you more.
Very nice player. Very professional and knowledgeable.
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